Manufacturing Solutions Engineer

🏢 Summary: Hybrid software engineering role focused on building and maintaining frontend, desktop, mobile, and cloud features for Tulip’s Edge platform used in industrial operations. The position involves developing production-grade applications, integrating devices and microservices, and collaborating across product, QA, and embedded engineering teams. Candidates will contribute to scalable infrastructure, debugging, testing, and deployment practices in a fast-paced AI-native manufacturing environment. 🗂️ Requirements: 2-5+ years of software engineering experience, Strong proficiency in TypeScript, Experience building production web applications, Familiarity with RESTful API design and integration, Proficiency in unit testing, Proficiency in integration testing, Debugging skills, Ability to work independently and in teams 📃 Skills: TypeScript, REST, React, ReactNative, Expo, Electron, MacOS, Windows, Kubernetes, CI/CD, Microservices, Cursor, Claude, Copilot 🏢 Description: This role is located in Somerville, MA - We are a hybrid work environment and are in the office 3+ days/per week. Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category. About You: You're a builder at heart, someone who thrives on shipping features that make an immediate difference for frontline teams. You love learning new things and are a collaborative team player, whether working independently or as part of a group. You have a product mindset and empathy for the end user — the operators and admins who rely on Edge every day. You love a good challenge and enjoy diving into unfamiliar corners of a large tech stack. You care about the details that make software feel fast and dependable. What skills do I need? 2-5+ years of software engineering experience, ideally building production web applications. Strong proficiency in TypeScript is required. Familiarity with API design and integration (RESTful services). Proficiency in unit testing, integration testing, and debugging practices. Works well both as an individual and as part of a team. Nice to Have: Familiarity with React, React Native/Expo (mobile) and/or Electron (desktop) app development. Experience with MacOS and Windows platform development. Experience with hardware/device integrations. Knowledge of Kubernetes/container orchestration and microservices deployment. Knowledge of CI/CD pipelines and automated deployment strategies. Comfortable using AI coding tools (Cursor, Claude Code, Copilot, or equivalent) to land production PRs. Key Responsibilities: Design, build, and maintain features across Edge's product surfaces, such as the Tulip Player application, device drivers, and cloud microservices. Partner with product, design, and QA to scope and ship features end-to-end, from prototype to production. Debug and resolve customer-facing issues surfaced in real manufacturing environments. Write clean, tested, well-documented code, and participate in code review to raise the bar for the team. Contribute to technical and architecture decisions that affect the reliability and scalability of the platform. Take part in the team's on-call/support rotation, triaging and resolving incoming technical requests. Collaborate with Edge's embedded engineers on integrations touching drivers and devices. Help evolve deployment, monitoring, and infrastructure practices, including microservices and container tooling. Key Collaborators: Product Design Product Management QA Customer Support Working At Tulip: We know even great candidates experience imposter syndrome. Even if you don't match every requirement, applying gives you the opportunity to be considered. We're building a strong, diverse team that values hard work, families, and personal well-being. Here are some of the benefits of working with us: Direct impact on product and culture. Company equity. Competitive benefits package including Health, Dental, Vision, Short-term Disability, Long-term Disability, Life Insurance, AD&D Insurance, Flexible Spending Account (FSA), Commuter Benefits, Parental Leave, and 401(K). Flexible work schedule and unlimited vacation policy Fitness subsidies. Dog-friendly office. We are an equal opportunity employer. At Tulip, we celebrate all and are committed to building an inclusive community that will transform frontline operations. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range posted, actual compensation will be determined depending on multiple factors including job-related knowledge & skills, experience, business needs, geographical location, market compensation data, and internal equity. Expected compensation ranges for this role may change over time. The salary range for this position is $130,000 - $180,000 per year. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.

🏢 Summary: Opportunity to join an AI Ops team building and scaling AI-powered automation systems for global supply chain operations, partnering closely with engineering, product, and customers to drive adoption and deliver measurable value. The role focuses on deploying intelligent workflows, translating complex technical systems for users, and embedding with customer and operations teams to enhance execution. This is an onsite position in Chicago, San Francisco, or New York City. 🗂️ Requirements: College degree in analytics, finance, economics, STEM or related quantitative field, 1+ year experience in technology, data analysis or other technical quantitative field, Ability to understand complex technical systems and translate them for users, Experience working cross-functionally with engineering, product, or operations teams, Onsite availability 4+ days per week in Chicago, San Francisco, or New York City 📃 Skills: SQL, Python, Excel, Automation, Data, AI 🏢 Description: About the Role Loop is building an AI ops team that will own key automation and intelligence systems as Loop builds and scales them across its customer base. The team is disrupting traditional operations with AI-powered workflows that create 100X leverage for users, turning operators into analysts. Responsibilities include close partnership with engineering and product teams, internal roll-out of new systems and products, and driving adoption across the user base. This role requires a deep understanding of systems and their users (internal and external), the ability to translate complex technical work to everyday users, and strong problem-solving skills. This is an in-person role based in Chicago, San Francisco, or New York City, with the expectation of being onsite 4+ days per week. What You'll Do - Accelerate delivery of new product capabilities for global brands by understanding how customer outcomes are driven - Embed with customer, product, and operations teams to deliver increased customer value - Partner with AI engineers to deploy systems and products that automate workflows, reduce manual work, and improve user experience - Demonstrate strong execution skills and deep knowledge of the product offering and customer pain points - Build and maintain relationships with internal customer-facing stakeholders to ensure value delivery About You - College degree with a quantitative background in analytics, finance, economics, or similar STEM field - 1+ years of work experience in technology, data analysis, or other technical and quantitative fields - Ability to balance eagerness to learn with strong execution and problem-solving skills - Team-oriented mindset with interest in fast-paced, high-growth environments - Advanced Excel skills and SQL, Python, or other programming experience are a plus Compensation and Benefits The base pay range for this role is $80,000 to $125,000 annually, depending on experience, skills, qualifications, location, and business needs. In addition to base salary, the role may be eligible for equity. Benefits include health, dental, and vision insurance, 401(k) match, paid time off, paid holidays, and parental leave. Equal Opportunity The company is an equal opportunity employer committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration without regard to legally protected characteristics.

🏢 Summary: The role offers an opportunity to drive enterprise IT sales within the Baltimore-Washington/Northern Virginia area, focusing on building strategic relationships and delivering data center, cloud, AI, and infrastructure solutions. The Account Executive is responsible for developing new accounts, growing existing clients, and executing strategic sales plans across Mid-Tier and Fortune 1000 organizations. The position includes a competitive base salary with uncapped commissions and requires a hybrid on-site presence. 🗂️ Requirements: Geographically located in Baltimore-Washington metropolitan area or Northern Virginia, Willingness to work on-site 1–2 days per week, Minimum 5 years of experience selling technology services, Proven success selling to CXO and VP levels, Experience selling data center, cloud, collaboration, and network infrastructure solutions, Ability to prospect, qualify leads, and close new accounts, Experience with Managed Accounts, Strong communication and presentation skills, Ability to travel up to 30% 📃 Skills: Sales, Cloud, AI, Networking, Infrastructure, Collaboration, DataCenter, E-business, Forecasting, AccountManagement, Prospecting, LeadManagement 🏢 Description: Overview **Candidates MUST BE geographically located within the Baltimore-Washington metropolitan area or Northern Virginia with a willingness to work on-site in the office one to two days per week.** If you have a passion for tech sales, experience selling enterprise IT solutions, and excel at building long-term relationships, this role is for you! Join ePlus as an Account Executive and be a key player in driving technology solutions that transform businesses. You will engage with clients across diverse industries, utilizing innovative solutions to solve complex challenges. Additionally, you will have the opportunity to sell a diverse portfolio of services and products from leading technology vendors, Original Equipment Manufacturers (OEMs) and enterprise solutions providers. Your Impact The essential functions of this position include: Develop and execute strategic sales plans to drive growth including new account relationships Achieve growth objectives through prospecting, active lead management, and relationship building with Mid-Tier and Fortune 1000 companies Maintain and grow existing client revenues through cross-selling of ePlus core competencies Establish and maintain manufacturer/partner relationships to develop joint sales opportunities Implement an ongoing account management plan, including leveraging all specialized resources Provide monthly forecast and quarterly reviews for assigned territory Travel up to 30% may be required, with the majority limited to the local territory. A smaller portion may involve air travel as needed. Qualifications Proven success selling to Managed Accounts at the CXO and VP levels Minimum of 5 years of experience selling technology services including data center, cloud, collaboration, network infrastructure, and emerging technologies Experience selling AI Solutions and Services is a plus VAR/systems integrator sales and/or direct selling experience with technology OEMs or software companies preferred Knowledge of e-business solutions environment Must demonstrate a strong ability to qualify leads, engage new markets, and successfully close new accounts, driving growth and expanding the customer base Excellent communication, presentation, problem-solving and time management skills Demonstrated ability to leverage subject matter experts (SMEs) to accelerate and enhance the sales process Ability to take initiative, self-motivate, and drive sales success independently Greatly Preferred Experience: 10+ years Commercial Enterprise OR SLED (in the state of Maryland and/or Northern Virginia) technology sales BA/BS in Business, Management, Computer Science or Engineering fields preferred. Why ePlus? At ePlus, we empower businesses with cutting-edge technology solutions that drive real impact. As an Account Executive, you'll be part of a high-performing sales team that helps organizations harness technology to navigate their digital transformation journey and achieve the business outcomes they seek. Here's what sets us apart: Industry Leadership – We are a trusted technology partner with deep expertise in cloud, security, data center, AI, and digital infrastructure solutions. Unlimited Earning Potential – We offer a competitive base salary with uncapped commissions. Exceptional Support – We offer a wide range of resources from across a variety of cross-functional teams (Inside Sales, Pre-Sales Engineers, and other areas) to help you drive sales. Cutting-Edge Solutions – We have developed and provide a robust portfolio of IT solutions and services backed by strategic partnerships with top technology providers. Longevity and Market Resilience – We are one of only 11% of Nasdaq listed companies to be in business for more than 30 years. We have demonstrated strong financial health and profitability over the decades, with consistent revenue growth and robust financial performance. Career Growth – We offer access to continuous learning and internal mobility opportunities. Supportive Culture – We're proud to say that we are all part of one collaborative team that values innovation, integrity, diversity and long-term client success. Position Specifics The initial base salary range for this position is expected to be between $80,000 and $125,000 annually. The final base salary offered will be determined by multiple factors, including, but not limited to, job-related knowledge, depth of experience, skills, certifications, and geographic location. In addition to the base salary, our compensation structure includes variable pay through commissions based on individual sales performance. This means your earning potential can substantially increase based on your sales achievements. ePlus offers a full range of medical, financial, and/or other benefits (including 401(k) eligibility, employee stock purchase program, and various paid time off benefits, such as vacation, sick time, and personal leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an offer of employment is extended. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. #LI-KB1 #IND1 Who We Are At ePlus, we believe technology is a people business. Our team is passionate, skilled, and driven to deliver solutions that make a real difference. Join us and be part of a culture that values collaboration, innovation, and extraordinary results. Corporate Values Respectful communication and cooperation: We prioritize respectful communication, fostering an environment where everyone is treated with dignity and respect. Teamwork and employee participation: Collaboration and teamwork thrive through diverse perspectives, both within our teams and in our interactions with our customers. Work/life balance that supports our employees' varying needs: We value the well-being of our employees, recognizing that a healthy work-life balance is pivotal to our collective success. Embracing communities: We embrace and support the communities that nurture us. Our employees' dedication to fostering positive change is a source of immense pride for us. Commitment to Diversity, Inclusion and Belonging We are an equal opportunity employer that does not discriminate or allow discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, national origin, citizenship, disability, veteran status, or any other classification protected by federal, state, or local law. ePlus is dedicated to fostering, cultivating, and preserving a culture that represents diversity, enables inclusion, and makes our employees feel comfortable bringing their full, unique selves to work. Physical Requirements While performing this role, you will engage in both seated and occasional standing or walking activities. We provide reasonable accommodations, in accordance with relevant laws, to support success in this position. By embracing our values, you will contribute to our collective mission of making a positive impact within our organization and the broader community. We understand that this job description serves as a guide and is not an employment contract. ePlus maintains a California Consumer Privacy Act (CCPA) Privacy Notice on our Trust Center, available here: CCPA Privacy Notice. Notice to Recruiting Agencies: ePlus only accepts unsolicited resumes when presented directly by a candidate. Unsolicited resumes submitted to ePlus from any other source will be considered ePlus property and will not qualify for any placement or referral fees. ePlus will only pay such fees in connection with a valid written agreement between ePlus and the referring agency, and then only after providing advance written approval to the referring agency to submit resumes in connection with a particular opportunity.

🏢 Summary: Leadership role focused on building and managing an AI & Data practice, driving client engagement, technical strategy, and delivery across AI, machine learning, data engineering, and cloud platforms. The position combines practice leadership, pre-sales support, team development, and hands-on technical oversight for scalable AI and data solutions. The role is on-site in Greensboro, NC, Broomfield, CO, or Troy, MI with competitive salary and performance bonus. 🗂️ Requirements: 12-15 years in consulting, engineering services, or technology-driven organizations, 5+ years in AI, Data, or Analytics leadership roles, Experience building and scaling technical teams or practices, Knowledge of Generative AI technologies and LLM ecosystems, Experience with AI/ML frameworks, Experience with data engineering platforms and distributed systems, Experience with cloud AI ecosystems, Experience with MLOps or LLMOps tools, Understanding of data governance, security, and AI regulations, Bachelor's degree in Computer Science, Data Science, AI, or related field 📃 Skills: Python, TensorFlow, PyTorch, Scikit-learn, Spark, Databricks, AWS, Azure, GCP, SageMaker, Bedrock, Vertex, MLflow, Kubeflow, ETL, ELT, RAG, LLMOps, MLOps, AI, MachineLearning, DeepLearning, DataEngineering, PromptEngineering, Containerization, Orchestration 🏢 Description: Responsibilities Practice Leadership & Management Lead and manage the AI & Data practice. Manage and steer the allocation of practice resources across multiple activities, including: - Technical pre-sales support - Technical expertise delivery to projects - Recruitment support - Training and competency development Provide line management and leadership to members of the practice including technical leadership across AI and Data. Define skills development objectives for practice members and evaluate progress and effectiveness. Develop, improve, and standardize processes, methodologies, and tools. Foster a culture of collaboration, innovation, and knowledge sharing across the practice. Client Engagement & Pre-Sales Partner with Sales and Account teams to identify and shape AI & Data opportunities. Lead or contribute to solutioning, proposals, and RFP responses. Act as a trusted advisor in client discussions and executive forums. Align AI & Data solutions with business value and client outcomes. Technical Leadership & Innovation Provide leadership across advanced AI & Data domains: - Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) - Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) - Cloud-based AI architectures (AWS, Azure, GCP AI services) - Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) Support delivery teams with hands-on guidance and expert oversight. Drive development of AI & Data offerings, accelerators, and reusable assets. Identify opportunities for AI-driven productivity gains and automation. Ensure adoption of industry best practices and scalable architectures. Qualifications - 12-15 years of experience in consulting, engineering services, or technology-driven organizations - 5+ years of experience in AI, Data, or Analytics leadership roles - Proven experience building and scaling technical teams or practices - Experience in Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI services) - Experience with AI/ML frameworks (Python ecosystem, TensorFlow, PyTorch, Scikit-learn) - Experience with Data Engineering tools & platforms (Spark, Databricks, distributed systems) - Experience with Cloud AI ecosystems (Azure AI, AWS SageMaker/Bedrock, Google Vertex AI) - Experience with MLOps / LLMOps tools (MLflow, Kubeflow, containerization, orchestration) - Understanding of data governance, security, and AI regulations Skills & Competency Management - Create, maintain, and manage the practice skill matrix - Identify competency gaps and develop capability-building plans - Develop and coordinate technical training programs and certification initiatives - Build and strengthen a team of experts through recruitment, coaching and mentoring, internal talent development and training - Support career development planning and succession management within the practice - Promote technical communities, best practices, and continuous learning initiatives Educational Qualifications - Bachelor's degree (or higher) in Computer Science, Data Science, AI, or related field - Certifications in AI/ML, Cloud are a plus Salary Range: $160,000-$190,000 + Annual Performance Bonus Note: This position is on-site and can be located in Greensboro, NC, Broomfield, CO, or Troy, MI. Drug Screening Requirement: Candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

🏢 Summary: Senior Staff Software Engineer role focused on leading the design and development of secure, scalable backend systems, with strong emphasis on security architecture and distributed systems. The position combines hands-on Java development with AWS cloud services, driving authentication, authorization, API security, and secure AI integration at enterprise scale. You will provide technical leadership to ensure reliability, performance, and secure SDLC practices across mission-critical platforms. 🗂️ Requirements: Bachelor’s degree in Computer Science or related field, 8+ years of professional software development and security engineering experience, 7+ years of Java programming experience, Experience designing large-scale distributed systems, Strong knowledge of security architecture, Experience building secure, scalable backend systems, Experience with AWS cloud services, Experience implementing authentication and authorization mechanisms, Experience with cryptography and PKI systems 📃 Skills: Java, Spring, AWS, EKS, S3, Lambda, RDS, IAM, KMS, Microservices, REST, OAuth, OIDC, RBAC, ABAC, SCIM, SSO, Cryptography, PKI, Kubernetes, AI, LLM, RAG, Embeddings 🏢 Description: We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview We are seeking a highly skilled Senior Staff Software Engineer with deep technical expertise in Security and a passion for building secure, reliable, and scalable systems. This role focuses on technical leadership, architecture, and hands-on development to ensure the security and resilience of our core platforms. You will drive the security, quality, and reliability of backend systems while influencing architecture decisions, mentoring engineers, and partnering with product teams on strategic initiatives. What You Will Do Architect and implement secure, scalable backend systems using Java (Spring Boot) and AWS cloud-native services. Lead technical design reviews, enforce security best practices, and ensure system reliability and performance. Develop and integrate security features such as authentication, authorization, and identity management (SSO, OIDC, RBAC/ABAC, SCIM). Design and implement API security patterns and API authorization at scale for microservices and service mesh environments. Embed Generative AI capabilities (e.g., embeddings, RAG, LLM APIs) into product workflows securely and responsibly. Write and review code, unblock complex technical challenges, and make critical architectural decisions. Champion secure SDLC practices, cryptography standards, and compliance requirements. Collaborate with cross-functional teams to define technical roadmaps and deliver mission-critical systems at scale. Minimum Qualifications Bachelor’s degree in Computer Science or related technical field. 8 years of professional software development and security engineering experience. Proven experience designing and developing large-scale distributed systems. Strong knowledge of security architecture Preferred Qualifications Recent hands-on experience (last 3–4 years) building secure, distributed systems at scale, with strong exposure to AI/ML development and hosting in production environments. Experience with cloud platforms (AWS, Azure, GCP) for identity, ML infrastructure, and secure deployment. Familiarity with Generative AI integration and responsible implementation of LLM-based workflows. Exposure to data security principles, including encryption, secure data pipelines, and compliance frameworks. Ability to influence technical direction and mentor engineers in security best practices. Proven track record of delivering mission-critical, scalable systems in production at enterprise scale. Expertise in Java, Spring Boot, and AWS architecture/services (EKS, S3, Lambda, RDS, IAM, KMS). 7+ years of solid experience with fundamental algorithms, system design, and large distributed systems. Deep experience in cryptography and PKI systems, including certificate management and secure key lifecycle 7+ years of coding experience, specifically in Java. Strong knowledge of security architecture, authentication/authorization, and cryptographic principles. Hands-on experience in building large-scale serving and data infrastructure. Experience with service-oriented architecture and web application/services development Practical experience in utilizing AWS (Amazon Web Services). Experience in designing and constructing machine learning-based applications and systems. Experience in leading cross-team system design and execution. Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $174,00/year to $299,000/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of the Paid Time Off (PTO) a year based on the tenure 12 Public Holidays Paid Parental leave Pre-tax commuter benefits MTV - [Free] Electric Car Charging Station General Description of Other Compensation “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that wouldbe offered to the hired applicant in addition to their established salary range orwage scale. Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below:https://www.coupang.jobs/privacy-policy/ Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com. Job Requisition ID: R0067878

🏢 Summary: The offer is for a Software Engineer (Data) role focused on building scalable data infrastructure and production-ready ML systems within an AI-driven environment. The position combines backend engineering, data engineering, and MLOps to design high-throughput pipelines and support AI solutions from experimentation to production. The role involves close collaboration with Data Science teams to shape architecture and engineering standards for next-generation data platforms. 🗂️ Requirements: 4+ years of software engineering experience, Strong proficiency in Python, Experience building scalable production systems, Experience with data-intensive applications and SQL databases, Knowledge of data modeling and query optimization, Experience with Terraform, Kubernetes, Docker or similar tools, Understanding of CI/CD pipelines and Infrastructure as Code, Experience implementing automated testing and clean architecture principles, Ability to productionize ML solutions with Data Science teams 📃 Skills: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker, Airflow, SQL, CI/CD, AWS, Snowflake, DBT, MLOps 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Data) to join our client’s growing AI and Data organization and help build the scalable foundations behind next-generation data and ML systems. In this role, you won’t just be working with data infrastructure; you’ll be shaping the software architecture, engineering standards, and production-ready platforms that power the company’s AI ecosystem. This is more than a traditional backend or data engineering position. You’ll work at the intersection of software engineering, data, and AI, partnering closely with Data Science and AI teams to bridge the gap between experimentation and production. From designing resilient systems to building scalable MLOps pipelines, your work will directly influence how AI solutions are developed, deployed, and scaled across the organization. Key takeaways: Stack: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Interview with Hiring Manager (45 min) Technical interview, live coding (1h) Cross-functional interview (1h) Responsibilities: Design, develop, and maintain scalable high-throughput data pipelines across complex data ecosystems. Build and optimize data models, schemas, and database structures to ensure long-term scalability and performance. Implement engineering best practices, including automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform). Partner closely with AI and Data Science teams to productionize machine learning solutions and develop scalable MLOps pipelines. Engineer and maintain feature stores and data infrastructure supporting AI-driven initiatives. Monitor, maintain, and improve the reliability and efficiency of containerized environments using Kubernetes, Docker, and Airflow. Ensure platform stability, observability, and operational excellence through proactive system monitoring and health checks. Collaborate cross-functionally with engineering and business stakeholders to translate complex technical concepts into actionable insights. Contribute to the architectural direction and scalability of the organization’s AI and data platforms. Drive the adoption of robust software engineering standards across data and infrastructure projects. Requirements: 4+ years of experience in software engineering, with strong hands-on experience in backend development and building scalable production systems. Strong proficiency in Python and solid software engineering fundamentals, including clean architecture, testing, and maintainable code practices. Experience working with data-intensive applications, databases, and SQL, including data modeling and query optimization. Exposure to modern data engineering, cloud, or infrastructure environments, with familiarity in tools such as Terraform, Kubernetes, Docker, or similar technologies. Understanding of CI/CD pipelines, Infrastructure as Code, and general engineering best practices. Interest in AI/ML ecosystems and willingness to work closely with Data Science and AI teams on productionizing ML solutions. Familiarity with cloud platforms and modern data stack technologies such as AWS, Snowflake, Spark, or DBT is considered a strong plus. Ownership mindset and comfort working in evolving, fast-moving environments where systems and processes are still being built. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Senior Salesforce Engineer role focused on owning and evolving a global CRM and digital engagement platform, driving architecture decisions, and delivering scalable, integrated solutions. The position combines hands-on development with technical leadership, shaping the future technology roadmap and mentoring an engineering team. The goal is to enhance performance, scalability, and integration capabilities across distributed systems. 🗂️ Requirements: Proficiency in at least one modern object-oriented language (Java or C#/.NET), Experience with Salesforce ecosystem (Apex, LWC, integrations), Experience leading software engineering teams, Ability to design and integrate complex distributed systems, Experience delivering digital products, Ability to conduct code and design reviews 📃 Skills: Java, C#, NET, Salesforce, Apex, LWC, CRM, APIs, Integration, DistributedSystems, Architecture 🏢 Description: Job Description Are you an engineering engineer ready to build the technology that transforms how we engage with Health Care Professionals (HCPs) globally? We are seeking a hands-on Senior Salesforce Engineer to drive the evolution of our digital ecosystem and mentor a talented team. You will be a key partner to the IT Director, shaping our future technical roadmap and making the decisions that will define our success for years to come. What You'll Achieve in Your First 12-18 Months: Take technical ownership of our core engagement platform (currently centered on Salesforce), improving its performance, scalability, and integration capabilities for our 20+ global markets. Lead the evaluation and proof-of-concept for new technologies that will form the foundation of our next-generation architecture. Establish and embed software engineering best practices, fostering a culture of high-quality code, robust design, and continuous improvement within our hybrid engineering team. Lead the successful delivery of at least one major new product or capability that measurably improves the experience for our sales, brand, and marketing teams. Key Responsibilities: Strategy : Partner with the IT Director and Enterprise Architects to design and govern the technology roadmap, ensuring solutions are scalable, secure, and future proof. Technical Leadership & Mentorship : Lead, mentor, and inspire a hybrid engineering team. Hands-On Development & Oversight : Conduct code and design reviews, contribute to critical parts of the codebase, and set the standard for technical excellence. Platform Evolution : Oversee our core CRM platform (Salesforce), ensuring its optimal performance while actively planning its integration with and/or migration to future systems. Job Qualifications What We're Looking For: Hands-on proficiency in at least one modern object-oriented language (e.g., Java, C#/.NET). Experience with the Salesforce ecosystem (Apex, LWC, integration patterns) is a significant advantage, as it is a core component of our current landscape. Experience leading software engineering teams in the delivery of digital products. Proven ability to design, build, and integrate complex, distributed systems. Excellent communication and leadership skills, with the ability to translate technical vision into business value. We offer P&G-sized projects and access to world leading IT partners and technologies from Day 1. Wide range of self-development possibilities (training and certifications paths). Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards). Regular salary increases and possible promotions - in line with your results and performance. Opportunity to change role every few years to be in the best place for you and best for P&G. At Procter & Gamble we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication. Watch this video to learn more about our full recruiting process: https://www.youtube.com/watch?v=0bicvbpy0gI Kindly be advised that at P&G, employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions. About us We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide. Visit http://www.pg.com to know more. We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.

🏢 Summary: Technical pre-sales role owning discovery, demos, and end-to-end POCs for a data lineage and migration impact-analysis platform serving regulated enterprises. You will map complex data estates, quantify migration blast radius, address technical objections, and translate customer risk into actionable scope for delivery. This is a 0–1 environment where the SE-led POC is the primary driver of winning deals. 🗂️ Requirements: 3+ years technical pre-sales or solutions engineering experience, 5+ years experience across modern and legacy data stacks, Hands-on ability to lead and execute end-to-end POCs, Experience selling data or platform software to enterprise or regulated buyers, Fluency with ETL/ELT, data warehouses, lakehouses, BI, lineage, and governance tools, Proficiency using AI tools to enhance productivity and sales execution, Ability to engage both technical teams and senior business stakeholders, Authorization to work in the U.S. without sponsorship, Residence in an eligible U.S. state 📃 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 seeking a Data Solutions Engineer / Architect 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, 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 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. Location The location preferred for this remote with 25% travel. Thw ideal candidate will reside in In or near to Austin, TX. 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: Leadership role focused on managing and scaling an AI & Data practice, including technical leadership, client engagement, pre-sales support, and innovation across AI, ML, cloud, and data engineering domains. The position involves leading technical teams, developing AI solutions and reusable assets, and driving competency development and best practices. The role is onsite in Greensboro, NC, Broomfield, CO, or Troy, MI, with a salary range of $160,000–$190,000 plus bonus. 🗂️ Requirements: 12-15 years experience in consulting, engineering services, or technology-driven organizations, 5+ years experience in AI, Data, or Analytics leadership roles, Experience building and scaling technical teams or practices, Bachelor's degree in Computer Science, Data Science, AI, or related field, Experience with Generative AI technologies, Experience with AI/ML frameworks, Experience with Data Engineering tools and distributed systems, Experience with Cloud AI ecosystems, Experience with MLOps or LLMOps tools, Understanding of data governance, security, and AI regulations 📃 Skills: Python, TensorFlow, PyTorch, Scikit-learn, Spark, Databricks, AWS, Azure, GCP, SageMaker, Bedrock, Vertex, MLflow, Kubeflow, ETL, ELT, RAG, LLMOps, MLOps, AI, MachineLearning, DeepLearning 🏢 Description: Responsibilities Practice Leadership & Management Lead and manage the AI & Data practice. Manage and steer the allocation of practice resources across multiple activities, including: - Technical pre-sales support - Technical expertise delivery to projects - Recruitment support - Training and competency development Provide line management and leadership to members of the practice including technical leadership across AI and Data. Define skills development objectives for practice members and evaluate progress and effectiveness. Develop, improve, and standardize processes, methodologies, and tools. Foster a culture of collaboration, innovation, and knowledge sharing across the practice. Client Engagement & Pre-Sales Partner with Sales and Account teams to identify and shape AI & Data opportunities. Lead or contribute to solutioning, proposals, and RFP responses. Act as a trusted advisor in client discussions and executive forums. Align AI & Data solutions with business value and client outcomes. Technical Leadership & Innovation Provide leadership across advanced AI & Data domains: - Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) - Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) - Cloud-based AI architectures (AWS, Azure, GCP AI services) - Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) Support delivery teams with hands-on guidance and expert oversight. Drive development of AI & Data offerings, accelerators, and reusable assets. Identify opportunities for AI-driven productivity gains and automation. Ensure adoption of industry best practices and scalable architectures. Skills & Competency Management Create, maintain, and manage the practice skill matrix. Identify competency gaps and develop capability-building plans. Develop and coordinate technical training programs and certification initiatives. Build and strengthen a team of experts through: - Recruitment - Coaching and mentoring - Internal talent development and training Support career development planning and succession management within the practice. Promote technical communities, best practices, and continuous learning initiatives. Qualifications - 12-15 years of experience in consulting, engineering services, or technology-driven organizations - 5+ years of experience in AI, Data, or Analytics leadership roles - Proven experience building and scaling technical teams or practices - Experience in Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI services) - Experience in AI/ML frameworks (Python ecosystem, TensorFlow, PyTorch, Scikit-learn) - Experience in Data Engineering tools & platforms (Spark, Databricks, distributed systems) - Experience in Cloud AI ecosystems (Azure AI, AWS SageMaker/Bedrock, Google Vertex AI) - Experience in MLOps / LLMOps tools (MLflow, Kubeflow, containerization, orchestration) - Understanding of data governance, security, and AI regulations Educational Qualifications - Bachelor's degree (or higher) in Computer Science, Data Science, AI, or related field - Certifications in AI/ML, Cloud are a plus Salary Range $160,000-$190,000 + Annual Performance Bonus The actual salary offered is dependent on various factors including location, qualifications, skills, education, training, and experience. This position is on-site and can be located in Greensboro, NC, Broomfield, CO, or Troy, MI. Drug Screening Requirement As a federal contractor, all candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

🏢 Summary: Tech Lead Manager role focused on leading and mentoring a team of engineers while remaining hands-on (around 50% coding) to build and refine core product functionalities. The position centers on improving UX consistency, performance, and overall product quality within a fast-growing AI platform. It combines technical leadership, full-stack development, and cross-team project ownership. 🗂️ Requirements: 8+ years software engineering experience, 2+ years engineering people management experience, Full-stack development experience, Experience with modern FE framework (React preferred), Experience with serverless technologies (AWS Lambda, EC2), Experience with asynchronous workflows, Experience in cloud environments, Experience with relational databases (PostgreSQL preferred), Strong system design skills, Strong debugging and problem-solving skills, Experience leading cross-functional complex projects, Ability to ship high-quality code in fast-paced environment 📃 Skills: React, JavaScript, TypeScript, AWS, Lambda, EC2, Serverless, PostgreSQL, SQL, Cloud, SystemDesign, Debugging, LLMs, DistributedSystems 🏢 Description: About Kalepa: Commercial insurance is a trillion-dollar industry still run out of Microsoft Outlook. Kalepa is changing that. Kalepa is an AI Underwriting Platform built to deliver Professional-Grade AI in production - helping the world's most important insurers centralize and prioritize submission data, surface critical risk insights, and make faster, more confident decisions. Customers see meaningful improvements to both speed and portfolio quality as soon as they implement Kalepa - so much so that clients call it “truly an underwriter’s dream.” Kalepa's team members bring experience from top technology companies, including Facebook, Google, Amazon, Mastercard, and Uber. Kalepa is backed by leading VCs like IA Ventures and Inspired Capital. Our Values (This is important): Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees. Success at Kalepa is bred from five core principles: Hustle & Grit - We expect everyone at Kalepa to be excellent at what they do and relentless in pursuing their craft. There are no easy days. Kalepa’s exceptional speed and determination are our biggest differentiators: this is how we win. Customer Focus - We will ruthlessly prioritize the work that drives our clients’ growth, profitability, and efficiency. We are not building things just because they seem cool - we are here to solve our customers’ most strategic problems. Meritocracy - Too many exceptional people are stifled by corporate bureaucracies. At Kalepa, those people excel - and we reward tremendous results with rapid promotions and compensation growth. Transparency - We are honest with each other. We don’t believe in back-office politics and keeping employees in the dark. Transparency allows us to instantly cut to the heart of the matter and figure it out together. Experimentation - For many of the problems we face, no company has ever solved them before. We tackle these by quickly testing, measuring, and iterating to determine the path to success. In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon | 2025 - Cartagena). Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere. About the role: Salary range: $140K – $185K USD* We are looking for an exceptional Tech Lead Manager to lead a team of world-class engineers building core Kalepa functionalities. We are looking for a deeply technical leader with significant experience in full-stack engineering who is excited to be hands-on and a ‘player-coach’. The candidate will be responsible for setting strategy, for leading the team to deliver results consistently, for growing and developing talented engineers, and for cultivating a results-driven high-performance culture. As part of the Core UX team, you will focus on refining existing product functionality to deliver an exceptional user experience. Your work will center on ensuring consistency across the product, maintaining a cohesive look and feel, and implementing performance improvements that directly impact end users. You’ll be paying close attention to the layout, interactions, responsiveness, and visual polish, that collectively give the product a premium, well-crafted feel. This role is ideal for someone who enjoys iterative improvement, cares deeply about quality, and wants to shape the everyday experience of our users. Note : You will spend a lot of the time on the engineering work as this is a hands-on position (around 50% - coding). You'll be right at home if you: Have 8+ years of relevant software engineering experience with at least 2 years of full-time engineering people management experience. Have experience managing complex projects that touch multiple teams and cross-functional partners. Have past success hiring talented engineers at different levels Have the ability to make the tradeoffs required to ship high-quality code while working within the constraints of a fast-growing company. Embody hustle and grit, you're excellent at your craft and relentless in pursuing it. Communicate proactively, surfacing blockers, asking the right questions, keeping stakeholders in the loop. Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before. Have strong fundamentals in system design, debugging, and problem-solving. You have experience in a modern FE framework, preferably React. Have experience with serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments. Are comfortable with relational databases, ideally PostgreSQL. Bonus: experience with LLMs/generative AI, distributed systems. What you’ll get: Competitive salary (based on experience level). Significant equity options package. 401(k) plan with employer match (regardless of employee contribution) Excellent benefits: 100% covered medical, 100% covered vision and dental for individuals and families, and others Work with an ambitious, smart, global, and fun team to transform a $1T global industry. 20 days of PTO a year Global team offsites (2021 - Playa del Carmen, 2022 - Rome, 2023 - Buenos Aires, 2024 - Lisbon, 2025 - Cartagena) Healthy living/gym stipend. Mobile phone bill stipend. Continuing education credits. * The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.