Senior Software Engineer, AI Team (Oakland, CA)

🏢 Summary: Senior Backend Engineer role focused on designing and scaling cloud-based backend systems for a digital manufacturing platform. The position involves building event-driven services and APIs using Node.js and AWS to support global, production-grade operations. You will contribute to system design, reliability, and performance of high-scale distributed systems. 🗂️ Requirements: 5+ years backend engineering experience, Strong Node.js proficiency, Strong JavaScript or TypeScript proficiency, Hands-on experience with AWS services (SQS, Lambda, EC2, RDS), Experience with distributed systems, Experience with event-driven architectures, Experience designing REST or GraphQL APIs, Experience with SQL and NoSQL databases, Unit and integration testing experience, Knowledge of system design principles, Understanding of caching mechanisms, Knowledge of security best practices (OWASP Top 10), U.S. citizenship or lawful permanent residency 📃 Skills: Node.js, JavaScript, TypeScript, AWS, SQS, Lambda, EC2, RDS, REST, GraphQL, SQL, NoSQL, OWASP, Caching, Testing, DistributedSystems, APIs 🏢 Description: Fictiv Exists to Enable Hardware Innovators to Build Better Products, Faster Fictiv exists
to help product innovators create. Fictiv is a global manufacturing and supply chain company that enables organizations to scale globally across Fictiv’s four global manufacturing centers in India, Mexico, China, and the U.S.. Companies use Fictiv to access high-quality production, optimize supply chain logistics, and mitigate supply chain risk—ensuring they can move from prototype to full-scale manufacturing with speed and confidence. To date, Fictiv has delivered more than 35 million commercial and prototype parts for industries such as aerospace, robotics, automotive, climate tech, and more, helping them innovate faster, free up precious resources, and drive profitable growth. Senior Backend Engineer (Node.js / AWS) Location: Oakland, CA (Remote) | Open to CA, OR, WACompany: Fictiv Build the Future of Manufacturing Manufacturing is a $13 trillion industry—but much of it still runs on outdated, slow, and fragmented systems. Fictiv is changing that. Since 2013, we’ve been building a cloud-based, AI-powered digital manufacturing platform that helps companies go from prototype to production faster than ever. Our platform combines intelligent software with a global network of vetted manufacturing partners—powering innovation across electric vehicles, robotics, and next-gen consumer products. We’re growing fast and looking for engineers who want to solve complex, real-world problems at scale. What You’ll Do As a Senior Backend Engineer, you’ll help build and scale the systems that power our global manufacturing ecosystem: Design and develop highly available, scalable backend services in AWS Build and maintain event-driven, asynchronous systems using Node.js Create robust APIs (REST / GraphQL) powering customer-facing and internal tools Partner closely with product, frontend, and infrastructure teams to ship impactful features Contribute to technical design discussions and drive best practices across the team Debug production issues and improve system reliability Continuously improve code quality through testing, observability, and documentation What You Bring 5+ years of backend engineering experience Strong skills in Node.js, JavaScript/TypeScript Experience building systems on AWS (SQS, Lambda, EC2, RDS, etc.) Solid understanding of distributed systems and event-driven architectures Experience designing and maintaining REST or GraphQL APIs Familiarity with SQL and NoSQL databases Commitment to writing unit and integration tests Knowledge of system design, caching, and security best practices (OWASP Top 10) Must be a U.S. citizen or lawful permanent resident (green card holder) Nice to have: AWS certification Experience with high-scale or business-critical systems How You Work You take ownership and deliver clean, maintainable, production-ready code You communicate clearly and collaborate across teams You’re proactive in solving problems—even outside your immediate scope You enjoy mentoring others and raising the bar for engineering excellence You stay curious and continuously learn new technologies and patterns Why Fictiv? Work on real-world problems impacting global supply chains Join a fast-growing company at the intersection of AI, software, and manufacturing Collaborate with teams building products used by top hardware innovators Competitive compensation and benefits Flexible work environment (West Coast friendly) Minimal travel (0–10%) Ready to Build Something That Matters? If you’re excited about scaling systems, solving complex challenges, and shaping the future of manufacturing, we’d love to hear from you. Salary Range:$160,000 – $200,000 per year, depending on experience About Fictiv Fictiv is transforming how the next rockets, self-driving cars, and life-saving robots are designed, developed, and delivered to customers around the world. People who succeed at Fictiv are talented, creative, and driven to achieve professional excellence and support our vision to help product innovators create. We’re actively seeking teammates who: Bring diverse perspectives and experience to our culture and company. Excel at being part of a strong, empathetic team. Thrive in an environment emphasizing respect, honesty, collaboration, and growth. Have an ‘always learning’ mindset that celebrates learning, not just wins. Help us continue to build a world-class organization that values the contributions of all of our teammates We encourage applications from members of underrepresented groups, including but not limited to women, members of the LGBTQ community, people of color, people with disabilities, and veterans.

🏢 Summary: Staff Engineer role focused on designing and building advanced LLM observability features to monitor, evaluate, and debug generative AI systems in production. The position involves leading architecture decisions, prototyping and scaling new capabilities, and improving reliability and performance of LLM-based applications. You will work on scalable backend systems that enable tracing, drift detection, and evaluation of AI workloads. 🗂️ Requirements: BS/MS/PhD in Computer Science, Engineering or related field or equivalent experience, Deep understanding of distributed systems, Experience with scalable backend architectures, Hands-on experience building and shipping LLM or GenAI applications, Understanding of model internals and inference pipelines, Knowledge of LLM evaluation techniques, Experience with prompt engineering, Experience with observability tools or platforms 📃 Skills: LLM, GenerativeAI, DistributedSystems, Backend, Observability, Tracing, DriftDetection, ModelEvaluation, Inference, PromptEngineering, Scalability, Architecture 🏢 Description: The ML Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence. As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production. Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Drive design and implementation of LLM observability features. Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit Develop and extend tools for tracing, evaluating, and debugging LLMs Influence architecture decisions and mentor engineers to build resilient, high-performance systems Stay close to customer pain points and use those insights to guide product and engineering priorities Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience Deep understanding of distributed systems and scalable backend architectures Hands-on experience building and shipping LLM-powered or GenAI applications. Understanding of model internals, inference pipelines, evaluation techniques, and prompt engineering Ability to thrive in ambiguous, fast-changing spaces and have a product-oriented mindset You’re excited to shape the next generation of AI observability tools from the ground up Communicate clearly, think rigorously, and take pride in clean, maintainable code Experience with observability tools/platforms Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business . Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Senior LLM Systems Performance Engineer role focused on building and analyzing large-scale AI environments, optimizing LLM workloads, and driving hardware–software co-design for next-generation AI platforms. The position involves performance characterization across compute, memory, networking, and accelerator systems using modern AI frameworks and NVIDIA GPU platforms. Daily onsite presence in San Jose, CA is required. 🗂️ Requirements: MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field, BS with 5+ years of experience in performance engineering, AI systems, distributed systems, or HPC, Strong understanding of LLM inference and training systems, Strong understanding of NVIDIA GPU architecture and performance characteristics, Hands-on experience profiling and optimizing AI workloads on NVIDIA GPU platforms, Experience analyzing large-scale distributed AI workloads, Proficiency in Python, Proficiency in C++, Experience with modern AI frameworks or serving systems, Strong analytical and problem-solving skills, Ability to work onsite in San Jose, CA 📃 Skills: Python, C++, PyTorch, vLLM, SGLang, TensorRT-LLM, DeepSpeed, Ray, Megatron-LM, NVIDIA, Nsight, GPU, LLM, HPC 🏢 Description: Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day—including smartphones, electric vehicles, hyperscale data centers, IoT devices, and more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. The team designs and develops scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. The lab collaborates closely with hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of systems. This role is offered by the STG group within the AGI Lab as part of DSRA. The team works at the intersection of large language models, accelerator hardware, and high-performance software. The mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design. We are seeking a Senior LLM Systems Performance Engineer to build representative AI environments, characterize emerging workloads, and drive performance analysis for next-generation AI platforms. In this role, you will set up and operate realistic LLM serving and agentic AI environments, collect workload traces and performance data, and develop methodologies to characterize workload behavior. Location: Daily onsite presence at the San Jose, CA office in alignment with the Flexible Work policy. Quick Facts What You'll Do - Build and operate representative AI environments, including agentic workflows, distributed inference systems, disaggregated serving architectures, and MoE deployments. - Collect workload traces, telemetry, and performance data from real-world AI applications. - Characterize workload behavior, develop representative benchmarks, and identify performance bottlenecks across compute, memory, communication, and scheduling resources. - Evaluate AI systems across the full hardware and software stack. - Analyze the impact of runtime, memory hierarchy, interconnect, and accelerator architecture on application performance. - Collaborate with hardware and software teams to drive performance analysis, architecture exploration, and hardware–software co-design for next-generation AI platforms. What You Bring - MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field. - BS with 5+ years of experience in performance engineering, AI systems, distributed systems, high-performance computing, or related areas. - Strong understanding of LLM inference and training systems. - Strong understanding of NVIDIA GPU architecture and performance characteristics. - Hands-on experience profiling and optimizing AI workloads on NVIDIA GPU platforms using Nsight Systems, Nsight Compute, and related frameworks. - Experience analyzing performance of large-scale distributed AI workloads. - Proficiency in Python and C++. - Experience with AI frameworks or serving systems such as PyTorch, vLLM, SGLang, TensorRT-LLM, DeepSpeed, Ray, or Megatron-LM. - Strong analytical and problem-solving skills. What We Offer - Competitive base pay range: $138,000—$206,000 USD. - Incentive opportunities based on individual and company performance. - Medical, Dental, Vision, and 401(k) benefits. - 4+ weeks of paid time off plus holidays and sick leave. - Family support benefits including fertility care, adoption assistance, and medical travel support. - Emotional wellness support including confidential therapy sessions. - Onsite café and gym with additional virtual wellness classes. - Flexible work environment. Equal Opportunity Employment Policy Samsung Semiconductor is committed to fostering an inclusive and equal opportunity workplace. Our Commitment to Innovation and Fairness AI tools may be used to support the recruitment process, but hiring decisions are made by human recruiters and hiring managers. Applicant AI Use Policy Generative AI tools may not be used to misrepresent candidate qualifications during the application or interview process. Trade Secret Notice By submitting an application, candidates agree not to disclose confidential or proprietary information belonging to current or former employers.

🏢 Summary: Senior Software Engineer role focused on building an AI-powered front desk assistant for wellness businesses, delivering end-to-end AI-driven web and messaging solutions. The position involves architecting scalable full-stack systems, integrating LLMs, and shipping production-ready SaaS features. You will collaborate cross-functionally to turn generative AI capabilities into reliable, user-centric products. 🗂️ Requirements: 2-3 years of Senior-level experience building full-stack SaaS features, Experience developing user-facing web applications and supporting APIs, Experience designing and shipping AI-powered features in production, Strong knowledge of distributed systems, Experience with third-party integrations and messaging platforms, Ability to make architectural decisions balancing technical debt and business needs, Strong understanding of testing, observability, and maintainability, Proficiency in frontend and backend development 📃 Skills: Python, TypeScript, JavaScript, React, Next.js, AWS, ECS, SQS, RDS, LLMs, GenerativeAI, APIs, SaaS, DistributedSystems 🏢 Description: At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology.The Role You'll Play: At Playlist, we're reimagining how technology can foster meaningful, real-world connections. As a Senior Software Engineer on the SmartDesk team, you'll be at the forefront of building an AI-powered front desk assistant that transforms how wellness businesses communicate and operate. Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients Designing and implementing robust web and messaging services that power conversational and workflow automation Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions Architecting scalable systems across frontend, backend, and integration layers Mentoring teammates through thoughtful code reviews and technical guidance Turning cutting-edge AI capabilities into practical, user-centric product features Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to market You'll drive innovation by: Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients Designing and implementing robust web and messaging services that power conversational and workflow automation Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions Architecting scalable systems across frontend, backend, and integration layers Mentoring teammates through thoughtful code reviews and technical guidance Turning cutting-edge AI capabilities into practical, user-centric product features Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to market The Experience You'll Bring: 2-3 years of Senior-level experience building full-stack features for SaaS products Proven track record of developing user-facing web applications and supporting APIs Expertise in designing and shipping AI-powered features in production environments Strong experience with distributed systems, third-party integrations, and messaging platforms Proficiency in making architectural decisions that balance technical debt, innovation, and business needs Deep understanding of engineering fundamentals, including testing, observability, and maintainability Exceptional communication skills with the ability to collaborate across multidisciplinary teams Comfort navigating ambiguity and rapidly learning emerging technologies Technologies You'll Use: LLMs and Generative AI Frameworks AWS (ECS, SQS, RDS) Python TypeScript / JavaScript React / Next.js It is Playlist's intent to pay all Team Members competitive wages and salaries that are motivational, fair and equitable. The goal of Playlist's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.The base salary range for this position in the United States is $114,000 to $152,000 USD. The total compensation package for this position may also include a performance bonus, benefits and/or other applicable incentive compensation plans.Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

🏢 Summary: The role is for a technically strong software engineer with hands-on AI and LLM experience who actively integrates AI coding tools and agentic workflows into the full software development lifecycle. The position focuses on designing, building, and shipping production-grade systems while leveraging prompt engineering and AI automation to improve quality and speed. The engineer is expected to take ownership of production outcomes and continuously evaluate and adopt emerging AI technologies. 🗂️ Requirements: Solid experience in backend, frontend, or full-stack development, Proficiency in at least one modern programming language and framework, Experience working with APIs, distributed systems, and integrations, Strong knowledge of testing practices and software design principles, Hands-on experience using AI coding tools in real development projects, Practical understanding of LLM behavior, limitations, and trade-offs, Experience with prompt engineering for reliable AI output, Familiarity with AI agents and workflow automation, Understanding of LLM constraints such as context windows, token costs, and latency 📃 Skills: AI, LLM, Prompting, Agents, APIs, DistributedSystems, Testing, Automation, Backend, Frontend, FullStack 🏢 Description: At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.ABOUT NICE NiCE is a global leader in cloud platforms for customer experience and contact center technology, serving over 25,000 organizations worldwide. We help businesses deliver smarter, faster, and more human interactions — at scale. Our engineering teams are at the center of that mission, building the products and platforms that transform how companies engage with their customers. THE ROLE We're looking for a technically strong engineer who is genuinely excited about AI — not because it's a trend, but because they've already been using it to do better work and they want to go further. This person doesn't wait for training programs or permission to level up. They experiment on their own, stay ahead of what's available, and bring what they learn back to the team. You have real engineering depth — you know how to design systems, write code that holds up in production, and solve hard problems. You also have real AI experience: you've worked with LLMs and AI tools in ways that go beyond surface-level prompting. You understand the trade-offs, you've seen where these tools break down, and you've figured out how to get the most out of them anyway. What sets you apart is the hunger. You're the kind of engineer who reads the release notes, follows what's shipping in the AI space, and finds ways to apply it before anyone asks you to. You want to be at the front of where this is going — and you're willing to put in the work to get there. WHAT YOU'LL DO Design, build, test, and ship software across the full development lifecycle Use AI coding tools and Agentic AI Workflows actively in your day-to-day work — for code generation, review, testing, debugging, and documentation Write clean, well-structured, Code and/or specification docs, leveraging AI as a partner, and also take responsibility for its quality in production. Take responsibility for its quality in production Collaborate with product managers, designers, and other engineers to understand requirements and deliver working solutions Apply prompt engineering and Agentic coding techniques to accelerate your work and improve output consistency Participate in code reviews, technical discussions, and team planning Evaluate and adopt new AI tools and approaches as the landscape evolves Contribute to shared engineering standards and help raise the bar for how the team uses AI WHAT WE'RE LOOKING FOR Engineering Fundamentals Solid experience in backend, frontend, or full-stack software development Proficiency in one or more modern programming languages and frameworks Comfortable working with APIs, distributed systems, and software integrations Strong understanding of testing practices, code quality, and software design principles AI & LLM Experience Hands-on experience using AI coding tools in real development work — not just exploration or hobby projects Practical knowledge of how LLMs work, where they're effective, and where they fall short Experience with prompt engineering — writing, iterating, and evaluating prompts for reliable output Familiarity with agents, tool use, or AI-assisted workflow automation Working understanding of LLM constraints: context windows, token costs, latency, and output variability Communication & Collaboration Communicates clearly in both technical and non-technical conversations Writes documentation, specs, and code comments that others can actually use Works well in cross-functional teams and gives constructive code review feedback Takes ownership end-to-end — not just the assigned task, but the outcome NICE TO HAVE Experience in CX, contact center, or enterprise SaaS environments Familiarity with CCaaS platforms, voice/chat AI, or customer-facing AI products Exposure to building or tuning agentic systems or multi-step AI pipelines Experience contributing to shared tooling, internal platforms, or developer experience improvements WHAT TO EXPECT AT NICE A team that treats AI fluency as a professional standard — you won't be the only one who takes this seriously Access to modern AI tools, frameworks, and the space to experiment and improve how you work Real ownership — you'll be trusted to make decisions and see your work through to production A culture of continuous improvement, where how we build is as important as what we build Clear paths to grow into specialized engineering roles as your skills and interests develop READY TO APPLY? If you're a strong engineer who uses AI as a genuine part of how you work — not as a buzzword — we'd like to hear from you. We care more about what you've built and how you think than where you went to school or what your title was. NiCE is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees.About NiCE NICELtd. (NASDAQ: NICE)software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences,fight financial crimeand ensure public safety.Every day, NiCE software managesmore than120 million customer interactions and monitors3+billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

🏢 Summary: Technical pre-sales role focused on leading discovery, demos, and end-to-end POCs for a data lineage and migration impact-analysis platform sold to regulated enterprises. You will assess complex legacy and modern data estates, map migration blast radius, address technical objections, and scope engagements through handoff to delivery. This is a 0-1 environment requiring strong data stack expertise and AI-first productivity. 🗂️ Requirements: 3+ years technical pre-sales or solutions engineering experience selling data or platform software to enterprise or regulated customers, 5+ years experience across modern and legacy data stack (ETL/ELT, warehouses, lakehouses, BI, lineage, governance), Ability to independently run end-to-end POCs on real customer environments, Experience leading technical discovery with data and platform stakeholders, Proficiency using AI tools to enhance discovery, analysis, demos, and POCs, Hands-on knowledge of platforms such as Talend, Informatica, DataStage, Snowflake, Databricks, Teradata, dbt, Authorization to work for any employer in the U.S. 📃 Skills: ETL, ELT, Talend, Informatica, DataStage, Snowflake, Databricks, Teradata, dbt, BI, DataLineage, DataGovernance, Azure, AWS, AI 🏢 Description: About FormativGroup FormativGroup helps enterprise organizations modernize, migrate, and govern complex technology environments. As part of that mission, we are building a data lineage and migration impact-analysis platform designed for highly regulated industries including financial services, insurance, healthcare, and government. Our platform helps organizations understand dependencies, identify migration risk, and visualize the downstream impact of change before transformation initiatives begin. We combine software, consulting expertise, and delivery services to help clients modernize with confidence. This is an opportunity to join early and help shape both the product and the go-to-market motion as the platform grows into a standalone business. The Opportunity We are adding a Data Sales Solutions Engineer to serve as the technical lead throughout the customer evaluation process. You will partner with prospective clients to understand their data ecosystem, demonstrate the platform's capabilities, lead technical assessments, and guide proof-of-concept engagements that validate business value and technical fit. This is a highly consultative role, that of a founding sales engineer, which is a client-facing role that combines data architecture, solution engineering, and pre-sales experience.A founding sales engineer. What You'll Do Lead technical discovery sessions with data, analytics, architecture, and platform leaders. Assess customer environments and identify data migration risks, dependencies, and lineage challenges. Demonstrate platform capabilities and articulate business value to both technical and executive audiences. Own proof-of-concept (POC) engagements from planning through successful completion. Design solution approaches that address customer modernization, governance, and migration objectives. Respond to technical questions and objections regarding architecture, security, governance, lineage, and platform capabilities. Collaborate closely with FormativGroup delivery teams to ensure a seamless transition from sales to implementation. Provide customer feedback that influences product direction, roadmap priorities, and platform enhancements. What You'll Bring 3+ years of experience in Solutions Engineering, Sales Engineering, Technical Pre-Sales, Solutions Architecture, or a similar client-facing technical role. 5+ years of experience working with modern and legacy data ecosystems. Strong understanding of ETL/ELT technologies such as Informatica, Talend, DataStage, or similar platforms. Experience with modern data platforms including Snowflake, Databricks, Teradata, Microsoft Fabric, Azure, AWS, or related technologies. Knowledge of data governance, metadata management, data lineage, and data modernization initiatives. Ability to lead technical workshops, solution discussions, demonstrations, and proof-of-concept engagements. Strong communication skills with the ability to engage both technical teams and executive stakeholders. Ideal Experience Data Architecture Data Engineering Data Governance Data Migration & Modernization Data Lineage & Metadata Management Enterprise Analytics Platforms Cloud Data Platforms Regulated Industry Environments How You Work You thrive in environments where processes are still being built and improved. You enjoy helping shape products, solutions, and go-to-market motions. You are comfortable operating with ambiguity and helping define the path forward. You approach customer challenges with curiosity, structure, and a problem-solving mindset. AI Fluency We believe AI should enhance productivity, analysis, and customer outcomes. Successful candidates will be comfortable leveraging AI tools to improve research, discovery preparation, solution analysis, demonstrations, documentation, and customer engagement activities. During the interview process, we may ask for examples of how you have successfully incorporated AI into your professional workflow. Nice to Have Experience supporting financial services, insurance, healthcare, or public sector organizations. Background in large-scale data migration or modernization programs. Familiarity with Collibra, Alation, Data Vault, metadata management, or enterprise governance platforms. Knowledge of regulatory frameworks such as BCBS 239, DORA, or similar governance and compliance requirements. Experience with Azure or AWS deployments within customer-controlled environments. Compensation This role offers a competitive compensation package designed to reward both expertise and early-stage impact. Base Salary: $150,000–$180,000 Target Variable Compensation: $40,000 tied to key business growth milestones Target On-Target Earnings (OTE): $190,000–$220,000 As an early member of a growing platform business, you'll have the opportunity to directly influence customer adoption, product-market fit, and go-to-market strategy. The performance component is designed to recognize meaningful contributions to customer acquisition and platform growth. As the business scales and establishes a repeatable sales motion, the compensation structure may evolve into a traditional quota-based model with performance accelerators and expanded earning potential. Why This Opportunity Is Different This is not simply a role within an established sales organization. It is an opportunity to help build a business. Successful candidates will play a meaningful role in shaping customer references, validating market demand, refining the sales process, and influencing product direction. For individuals who enjoy operating in a high-impact, entrepreneurial environment, there is significant opportunity to grow alongside the platform. Location The location preferred for this remote with 25% travel. Thw ideal candidate will reside in In or near to Austin, TX. All US candidates will be considered.Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa now or in the future. To be considered for this position, candidates must reside in one of the following U.S. states: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IA, ID, IL, IN, KS, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, TN, TX, VA, WI, and Washington DC. Candidates residing outside these states are not eligible for consideration currently. We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate's experience, skills, education, work location, and internal equity. In addition to base pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc. Estimated Compensation Range:$150,000—$185,000 USDFormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms. FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. #formativgroupcareers #WorkWithUs Click here to view our Privacy Policy

🏢 Summary: Remote founding Sales Solutions Engineer role focused on guiding enterprise clients through data lineage, migration impact analysis, and modernization platform evaluations. The position combines pre-sales consulting, data architecture, proof-of-concept leadership, and customer-facing technical solution design for regulated industries. Compensation includes base salary, variable incentives, and opportunities to influence product and go-to-market strategy. 🗂️ Requirements: 3+ years in Solutions Engineering, Sales Engineering, Technical Pre-Sales, Solutions Architecture, or similar client-facing technical role, 5+ years working with modern and legacy data ecosystems, Experience with ETL/ELT platforms, Experience with modern data platforms and cloud technologies, Knowledge of data governance, metadata management, and data lineage, Ability to lead technical workshops, demonstrations, and proof-of-concept engagements, Strong communication skills with technical and executive stakeholders, Authorization to work in the U.S. without sponsorship, Residence in eligible U.S. states 📃 Skills: ETL, ELT, Informatica, Talend, DataStage, Snowflake, Databricks, Teradata, Fabric, Azure, AWS, Collibra, Alation, DataVault, AI 🏢 Description: About FormativGroup FormativGroup helps enterprise organizations modernize, migrate, and govern complex technology environments. As part of that mission, we are building a data lineage and migration impact-analysis platform designed for highly regulated industries including financial services, insurance, healthcare, and government. Our platform helps organizations understand dependencies, identify migration risk, and visualize the downstream impact of change before transformation initiatives begin. We combine software, consulting expertise, and delivery services to help clients modernize with confidence. This is an opportunity to join early and help shape both the product and the go-to-market motion as the platform grows into a standalone business. The Opportunity We are adding a Data Sales Solutions Engineer to serve as the technical lead throughout the customer evaluation process. You will partner with prospective clients to understand their data ecosystem, demonstrate the platform's capabilities, lead technical assessments, and guide proof-of-concept engagements that validate business value and technical fit. This is a highly consultative role, that of a founding sales engineer, which is a client-facing role that combines data architecture, solution engineering, and pre-sales experience. What You'll Do - Lead technical discovery sessions with data, analytics, architecture, and platform leaders. - Assess customer environments and identify data migration risks, dependencies, and lineage challenges. - Demonstrate platform capabilities and articulate business value to both technical and executive audiences. - Own proof-of-concept (POC) engagements from planning through successful completion. - Design solution approaches that address customer modernization, governance, and migration objectives. - Respond to technical questions and objections regarding architecture, security, governance, lineage, and platform capabilities. - Collaborate closely with delivery teams to ensure a seamless transition from sales to implementation. - Provide customer feedback that influences product direction, roadmap priorities, and platform enhancements. What You'll Bring - 3+ years of experience in Solutions Engineering, Sales Engineering, Technical Pre-Sales, Solutions Architecture, or a similar client-facing technical role. - 5+ years of experience working with modern and legacy data ecosystems. - Strong understanding of ETL/ELT technologies such as Informatica, Talend, DataStage, or similar platforms. - Experience with modern data platforms including Snowflake, Databricks, Teradata, Microsoft Fabric, Azure, AWS, or related technologies. - Knowledge of data governance, metadata management, data lineage, and data modernization initiatives. - Ability to lead technical workshops, solution discussions, demonstrations, and proof-of-concept engagements. - Strong communication skills with the ability to engage both technical teams and executive stakeholders. Ideal Experience - Data Architecture - Data Engineering - Data Governance - Data Migration & Modernization - Data Lineage & Metadata Management - Enterprise Analytics Platforms - Cloud Data Platforms - Regulated Industry Environments How You Work - Thrive in environments where processes are still being built and improved. - Enjoy helping shape products, solutions, and go-to-market motions. - Comfortable operating with ambiguity and helping define the path forward. - Approach customer challenges with curiosity, structure, and a problem-solving mindset. AI Fluency We believe AI should enhance productivity, analysis, and customer outcomes. Successful candidates will be comfortable leveraging AI tools to improve research, discovery preparation, solution analysis, demonstrations, documentation, and customer engagement activities. During the interview process, we may ask for examples of how you have successfully incorporated AI into your professional workflow. Nice to Have - Experience supporting financial services, insurance, healthcare, or public sector organizations. - Background in large-scale data migration or modernization programs. - Familiarity with Collibra, Alation, Data Vault, metadata management, or enterprise governance platforms. - Knowledge of regulatory frameworks such as BCBS 239, DORA, or similar governance and compliance requirements. - Experience with Azure or AWS deployments within customer-controlled environments. Compensation - Base Salary: $150,000–$180,000 - Target Variable Compensation: $40,000 tied to key business growth milestones - Target On-Target Earnings (OTE): $190,000–$220,000 As an early member of a growing platform business, you'll have the opportunity to directly influence customer adoption, product-market fit, and go-to-market strategy. The performance component is designed to recognize meaningful contributions to customer acquisition and platform growth. As the business scales and establishes a repeatable sales motion, the compensation structure may evolve into a traditional quota-based model with performance accelerators and expanded earning potential. Why This Opportunity Is Different This is not simply a role within an established sales organization. It is an opportunity to help build a business. Successful candidates will play a meaningful role in shaping customer references, validating market demand, refining the sales process, and influencing product direction. For individuals who enjoy operating in a high-impact, entrepreneurial environment, there is significant opportunity to grow alongside the platform. Location - Remote role with 25% travel. - Ideal candidate located in or near Austin, TX, though all eligible U.S. candidates will be considered. - Applicants must be authorized to work for any employer in the U.S. without sponsorship. - Candidates must reside in eligible U.S. states. Benefits Employees may be eligible for discretionary bonuses, commissions, incentive programs, and a comprehensive benefits package including medical, dental, vision, 401(k), and paid time off. Equal Opportunity FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ADA Specifications Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

🏢 Summary: Design and deploy learning-based manipulation systems for humanoid and mobile robots, leveraging foundation models and advanced generative control methods. The role focuses on sim-to-real transfer, digital twins, teleoperation data pipelines, and robust closed-loop visuomotor policy deployment in production environments. You will work on scalable robotics infrastructure to enable reliable, real-world robotic manipulation at scale. 🗂️ Requirements: Experience training embodied AI policies for real robots, Experience with transformer-based action models, Experience with diffusion policies or generative control methods, Experience adapting or fine-tuning large-scale multimodal/foundation models, Ability to deploy and optimize models on real robotic systems, Strong understanding of sim-to-real transfer challenges, Experience with multi-modal inputs (vision, proprioception, language), Proficiency in Python, Proficiency in deep learning frameworks, Experience integrating learned policies with real-time control systems, Strong experimental design and debugging skills 📃 Skills: Python, PyTorch, JAX, IsaacSim, MuJoCo, Transformers, Diffusion, ACT, VLA, Pi0, Gemini, Robotics, Teleoperation, Visuomotor, Simulation 🏢 Description: Who we are: Formic is on a mission to reshape American manufacturing by making automation accessible to every factory. As labor constraints rise, costs increase, and global competition intensifies, automation is no longer optional for manufacturers that want to stay competitive. We deliver automation through a Robotics-as-a-Service model that combines industrial robotics, proprietary software, and full-service support into a single, integrated solution. By removing the traditional barriers of cost, complexity, and risk, we enable manufacturers to deploy automation quickly and realize measurable gains in throughput, safety, and operational efficiency without large upfront capital investment. About the team: The Software Engineering Team builds and operates the systems that power Formic's Robotics-as-a-Service platform. Engineering focuses on ensuring deployed systems are observable, resilient, and remotely diagnosable at scale. The team builds production-grade edge and cloud systems that support reliable data collection, remote troubleshooting, live video streaming, and continuous system improvement. This work directly impacts fleet uptime, service efficiency, and customer outcomes by ensuring Formic's monitoring and control infrastructure remains scalable, reliable, and continuously evolving. In this role you will: - Design and train learning-based manipulation systems for humanoid and mobile manipulation platforms - Develop and maintain high-fidelity digital twins using Isaac Sim, MuJoCo, or similar tools - Implement and evaluate approaches such as: - Action Chunking with Transformers (ACT) - Diffusion Policies - Behavior Cloning at Scale - Vision-Language-Action (VLA) models - Latent action or hierarchical skill models - Work with modern foundation models for robotics (e.g., Pi0, Gemini ER 1.6 or similar), including adapting, fine-tuning, and deploying them for real-world tasks - Contribute to development of a Universal Manipulation Interface (UMI) abstraction layer - Build teleoperation-to-training data pipelines - Design sim-to-real transfer strategies including domain randomization and system identification - Evaluate policy robustness, generalization, and real-world performance - Work closely with perception and controls teams to ensure stable closed-loop visuomotor policies - Deploy, tune, and iterate on models running on real robotic systems in production environments What makes you a great fit: - Experience training embodied AI policies for real robots - Familiarity with transformer-based action models (e.g., ACT) - Experience with diffusion policies or other generative control methods - Experience working with or adapting large-scale models (e.g., Pi0, Gemini ER 1.6, or similar VLA / multimodal models) - Ability to deploy, fine-tune, and optimize models for real-world robotic systems (latency, robustness, reliability) - Strong understanding of sim-to-real challenges - Experience working with multi-modal inputs (vision, proprioception, language) - Proficiency in Python and deep learning frameworks (PyTorch, JAX, etc.) - Experience integrating learned policies with real-time control systems - Strong experimental design, evaluation, and debugging skills Our Total Rewards: - Equity in Formic - Competitive & Uncapped Commission Structure (for commission-eligible roles) - Comprehensive Healthcare Coverage (medical, dental, vision) - FSA and DCFSA - Life insurance - Short-term and long-term disability insurance - Employee Assistance Program (EAP) - Paid Parental Leave (up to 12 weeks) - Company-sponsored 401(k) - Home Office Stipend - Monthly Cell Phone Reimbursement - Flexible Time Off Compensation Philosophy Formic's pay and equity packages are benchmarked against peer companies at a similar growth stage. Equity represents a meaningful part of the mutual investment. Final offers are customized based on experience, geographic location, market considerations, and preferred balance of cash and equity. Compensation Range: $145,000—$200,000 USD What we look for: We value candidates who align with the company’s operating principles, take ownership, think from first principles, act with urgency, collaborate across teams, and demonstrate resilience and optimism while building scalable systems. Equal Opportunity Employment: Formic is an equal opportunity employer. Employment decisions are based on merit, business needs, and role requirements. AI Use: AI-powered tools may be used during parts of the interview process, with final hiring decisions made by humans.

🏢 Summary: Senior Software Engineer role focused on designing and delivering large-scale, distributed payment systems that power global transaction platforms. The position involves end-to-end development of scalable, secure, cloud-native services within Agile teams, contributing to next-generation payment and real-time transaction solutions. The engineer will drive architecture, system design, and high-performance solutions in complex enterprise environments. 🗂️ Requirements: Bachelor’s degree in Computer Science, Engineering, or related technical field or equivalent experience, 10+ years of professional software engineering experience, Expertise in Java, C#, or C++, Experience building large-scale, production-grade systems, Experience designing distributed, scalable, secure platforms, Experience with Agile/Scrum methodologies, Experience with cloud-native architectures, Experience with containerization and orchestration, Strong system design skills, Experience with CI/CD and DevOps practices 📃 Skills: Java, C#, C++, Docker, Kubernetes, CI/CD, DevOps, Microservices, APIs, GenAI, Angular, React, Cloud, Scrum 🏢 Description: About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. The Work itself: Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem. Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience 10+ years of professional software engineering experience delivering large‑scale, production‑grade systems Deep expertise in one or more general‑purpose programming languages such as Java, C#, or C++ Proven experience designing and operating highly distributed, scalable, secure, and resilient platforms in complex enterprise environments Strong experience working in Agile/Scrum delivery models with end‑to‑end ownership of features and services Preferred Qualifications: Demonstrated GenAI proficiency with an AI‑first mindset, applying AI‑assisted tools and techniques across design, development, testing, and operational workflows Ability to independently drive technical design end‑to‑end, engaging proactively with Product Managers and Architects and delivering solutions with zero follow‑ups Strong system‑design skills, including API design, service orchestration, data modeling, and performance optimization Experience with cloud‑native architectures, containerization, and orchestration technologies (e.g., Docker, Kubernetes) Familiarity with modern platform technologies Experience collaborating across Product, Architecture, Security, DevOps, and QA teams in large‑scale enterprise environments Strong written and verbal communication skills, with the ability to clearly articulate technical decisions and trade‑offs Experience mentoring engineers, contributing to design reviews, and raising overall engineering standards AI‑first mindset with hands‑on proficiency in applying GenAI tools across the software development lifecycle Experience designing and deploying modern, scalable, cloud‑native services Strong sense of ownership with the ability to operate autonomously, make decisions, and drive alignment across stakeholders Comfortable challenging assumptions and pushing beyond traditional solutions Exposure to to platform technologies such as microservices, DevOps Practices, CI/CD, Containerization, webservices, scalable solutions The Skills You Bring: Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale Challenge the Status Quo: Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) Builder: Experience building and deploying modern services and web applications with quality and scalability Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams AI First Approach: Champion AI‑assisted development and automation to improve developer productivity, develop customer facing features and solution quality Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

🏢 Summary: Senior Software Engineer role focused on designing and delivering large-scale, distributed payment systems operating at global scale. The position involves end-to-end ownership of scalable, secure, cloud-native services and collaboration in Agile teams to build next-generation payment platforms. The engineer will drive architecture, system design, and AI-assisted development across complex enterprise environments. 🗂️ Requirements: Bachelor’s degree in Computer Science, Engineering or related field, 10+ years of professional software engineering experience, Experience delivering large-scale production-grade systems, Expertise in Java, C# or C++, Experience with distributed, scalable, secure systems, Experience with cloud-native architectures, Experience with Docker and Kubernetes, Experience with Agile/Scrum methodologies, Strong system design skills (API design, data modeling, performance optimization), Experience with CI/CD and DevOps practices 📃 Skills: Java, C#, C++, Docker, Kubernetes, CI/CD, DevOps, Microservices, API, GenAI, Angular, React, Scrum, Cloud, Webservices 🏢 Description: About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. The Work itself: Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem. Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience 10+ years of professional software engineering experience delivering large‑scale, production‑grade systems Deep expertise in one or more general‑purpose programming languages such as Java, C#, or C++ Proven experience designing and operating highly distributed, scalable, secure, and resilient platforms in complex enterprise environments Strong experience working in Agile/Scrum delivery models with end‑to‑end ownership of features and services Preferred Qualifications: Demonstrated GenAI proficiency with an AI‑first mindset, applying AI‑assisted tools and techniques across design, development, testing, and operational workflows Ability to independently drive technical design end‑to‑end, engaging proactively with Product Managers and Architects and delivering solutions with zero follow‑ups Strong system‑design skills, including API design, service orchestration, data modeling, and performance optimization Experience with cloud‑native architectures, containerization, and orchestration technologies (e.g., Docker, Kubernetes) Familiarity with modern platform technologies Experience collaborating across Product, Architecture, Security, DevOps, and QA teams in large‑scale enterprise environments Strong written and verbal communication skills, with the ability to clearly articulate technical decisions and trade‑offs Experience mentoring engineers, contributing to design reviews, and raising overall engineering standards AI‑first mindset with hands‑on proficiency in applying GenAI tools across the software development lifecycle Experience designing and deploying modern, scalable, cloud‑native services Strong sense of ownership with the ability to operate autonomously, make decisions, and drive alignment across stakeholders Comfortable challenging assumptions and pushing beyond traditional solutions Exposure to to platform technologies such as microservices, DevOps Practices, CI/CD, Containerization, webservices, scalable solutions The Skills You Bring: Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale Challenge the Status Quo: Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) Builder: Experience building and deploying modern services and web applications with quality and scalability Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams AI First Approach: Champion AI‑assisted development and automation to improve developer productivity, develop customer facing features and solution quality Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.