Engineering Manager | Growth and Transformation

🏢 Summary: Hybrid Software Engineer role focused on building and operating financial services web platforms using Next.js within high-availability, multi-cloud Kubernetes environments. The position emphasizes AI-assisted development, automation, and agentic workflows to enhance engineering delivery and operational excellence. Engineers collaborate cross-functionally while contributing to SRE practices and cloud-native infrastructure. 🗂️ Requirements: 3–5 years of software engineering experience, Proficiency in JavaScript and TypeScript, Strong experience with React and Node.js, Hands-on experience with Next.js, Production experience with Kubernetes, Experience with multi-cloud environments (AWS, GCP, or Azure), Understanding of RESTful APIs and microservices architecture, Experience with server-side rendering, Experience with testing (unit, integration, end-to-end), Experience with CI/CD pipelines, Experience building automation or internal tooling, Proficiency with AI-assisted development tools, Ability to work hybrid in Charlotte, NC or New York, NY, Authorization to work in the U.S. without visa sponsorship 📃 Skills: JavaScript, TypeScript, React, Node.js, Next.js, Kubernetes, AWS, GCP, Azure, REST, Microservices, CI/CD, Harness, GitHubActions, GitHubCopilot, Cursor, Claude, SQL, NoSQL, GoogleAnalytics, Mixpanel 🏢 Description: This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp. This role requires a hybrid schedule and will be based in our South Charlotte, NC or New York, NY office (Tuesday through Thursday) and optional remote days on Mondays and Fridays each week. Red Ventures is looking for a Software Engineer to join our Banking Client Services organization. You’ll build and operate financial services web platforms for our banking partners using Next.js, hosted in high-availability multi-cloud Kubernetes environments. You’ll do it within a team that treats AI and automation as fundamental to how modern software gets built. Our engineering group is AI-forward. We’ve integrated agentic workflows and automation into coding, ticket management, compliance, and cross-functional problem-solving and we expect every engineer to actively contribute to that momentum. You’ll use AI-assisted tools daily, build automation that makes the team faster, and partner with business and data science teams to apply AI to real problems. This is an IC engineering role reporting to an Engineering Manager with a clear path for growth as our client partnerships expand. Curious how Growth and Transformation fits into Red Ventures? Click here. What You’ll Do: Engineering Delivery Build and maintain financial services web platforms using Next.js (React, TypeScript) with a focus on performance, reliability, and partner-grade quality. Deploy and operate applications in high-availability, multi-cloud Kubernetes environments, contributing to infrastructure-as-code, CI/CD pipelines, and deployment automation. Contribute to SRE practices: observability, alerting, incident response, and operational maturity for client-facing web properties. Write well-tested, reviewable code and actively participate in code reviews, advocating for quality across the team. Collaborate with designers, business stakeholders, and data science partners to deliver solutions that strengthen client trust. AI & Automation Build and maintain agentic workflows and automation that improve engineering delivery, spanning coding assistance, ticket management, compliance processes, and operational tasks. Use AI-assisted development tools (IDE integrations, CLI agents, code review automation) as a core part of your daily workflow to accelerate output and improve quality. Partner with business and data science teams to identify automation opportunities and build AI-driven solutions to operational and client-facing problems. Evaluate emerging AI/ML tooling for software development and recommend adoption where it reduces toil or improves outcomes. Develop internal tooling and developer experience improvements that help engineers across teams move faster. What We’re Looking For: Software Engineering (3–5 Years Experience) Strong proficiency in JavaScript/TypeScript, React, and Node.js. Hands-on experience with Next.js is strongly preferred. Experience deploying and operating applications on Kubernetes in production environments. Familiarity with multi-cloud architectures (AWS, GCP, or Azure) is a plus. Solid understanding of web application architecture: client-server models, RESTful APIs, microservices, and server-side rendering. Demonstrated emphasis on code quality: testing strategies (unit, integration, end-to-end), code review practices, and engineering best practices. Experience with CI/CD pipelines and deployment tooling (e.g., Harness, GitHub Actions). Familiarity with Agile/Scrum methodologies and iterative delivery within sprint-based workflows. AI Fluency & Automation Demonstrated experience building automation, internal tooling, or agentic workflows. Proficiency with AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar IDE and CLI integrations. A builder’s mindset: you actively look for opportunities to automate repetitive work, streamline processes, and apply AI to engineering problems. Willingness to experiment with emerging AI capabilities and drive adoption through working examples and documentation. Collaboration & Communication Clear written and verbal communication skills. Ability to explain technical decisions to peers and cross-functional partners. Comfort working across functions, you’ll collaborate regularly with data science, business, and design teams. A collaborative, team-first approach. You contribute to a psychologically safe environment and share knowledge freely. Nice to Have: Familiarity with web analytics tools (e.g., Google Analytics, Mixpanel) and using data to inform engineering decisions. Experience with databases (SQL and/or NoSQL) and their integration with web applications. Understanding of container orchestration and cloud-native tooling beyond Kubernetes basics. Compensation: This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications. Total Cash Compensation Range: Charlotte, NC Hybrid Compensation Range: $80,000 – $140,000 per year New York, NY Hybrid Compensation Range: $100,000 – $175,000 Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service. Who We Are: Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram. At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. If you are based in California, we encourage you to read this important information for California residents linked here. #LI-KS1 #LI-HYBRIDClick here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to employeerights@redventures.com. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

🏢 Summary: Full Stack ML Engineer role focused on rapidly prototyping and building AI-driven full-stack tools, ML systems, and scalable infrastructure to support researchers and entrepreneurs. The position combines machine learning expertise with front-end and back-end development to deliver production-ready AI products. It involves developing, optimizing, and deploying robust ML pipelines in a fast-paced, innovation-driven environment. 🗂️ Requirements: Bachelor's degree in Computer Science or equivalent practical experience, 5+ years of software development experience, 3+ years of experience building production ML systems and infrastructure, Strong knowledge of data structures and algorithms, Experience in data engineering with SQL or Spark, Proficiency in JavaScript and React, Experience with backend development in Python or Rust, 2+ years of experience with ML frameworks, Experience working with AI accelerators such as GPUs or TPUs 📃 Skills: Python, Rust, C++, JavaScript, React, SQL, Spark, PyTorch, TensorFlow, JAX, Ray, MLFlow, GPUs, TPUs, BERT, Transformers 🏢 Description: About Us Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation's most pressing problems.About the Role: We are seeking a self-starting Full Stack ML Engineer to join our venture studio engineering team. In this role, you will rapidly prototype and develop tools, visualizations, and products that empower researchers and entrepreneurs to build AI-driven startups. This position requires deep expertise in machine learning, proficiency across the full stack, and the ability to work independently in a fast-paced, innovative environment. This is a remote role, with travel expectations to attend our bi-annual All Hands and other travel as needed (~10% or less). Responsibilities: Rapidly prototype and build full-stack tools and visualizations to support researchers and entrepreneurs. Design, implement, test, and debug code across front-end, back-end, and data pipelines. Collaborate with research teams to translate cutting-edge ML techniques into production-ready solutions. Work with entrepreneurs and users to gather requirements, incorporate feedback, and iterate on product development. Develop and optimize robust pipelines for model fine-tuning, evaluation, and deployment. Establish best practices for reliable and reproducible ML model development. Contribute to the creation of scalable, high-performance infrastructure for AI-driven products. Minimum Qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 5 years of experience in software development (e.g., C++, Python, Rust) with a focus on data structures and algorithms 3 years of experience building production-quality machine learning systems and infrastructure, with deep expertise on data engineering (SQL/Spark) Proficiency in JavaScript, React, and other web technologies for front-end development. Experience with backend languages (preferably Python or Rust) and system design. 2 years of experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX, Ray, MLFlow) and AI accelerators (e.g., GPUs, TPUs). Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Hands-on experience with large language models (LLMs), generative AI, or natural language processing. Familiarity with model architectures (e.g., transformers, encoders, decoders) and post-training techniques. Experience launching AI-driven products or working with technical customers Proficiency in distributed computing, containerizing ML workloads, and debugging complex ML pipelines. Strong interest in AI safety and responsible deployment 2+ years of experience working in an early stage (Seed / Series A) startup You Might Thrive in This Role If You: Are a versatile team player comfortable with ambiguity and rapid iteration. Excel at building maintainable backend infrastructure and user-facing products. Can balance research exploration with engineering rigor and operational reliability. Have a track record of shipping high-quality software under tight deadlines Enjoy collaborating across research, engineering, and entrepreneurial teams to drive innovation. Representative Projects: Optimizing inference request routing to maximize compute efficiency Scoping an AI Agent Architecture to automate a business need or be a part of a new feature for a new incubation we are working on. Contributing to new inference features (e.g. structured sampling, fine tuning) Supporting inference for new model architectures Building a custom BERT model for bespoke classification needs Ensuring smooth and regular deployment of inference services Analyzing observability data to tune performance based on production workloads Salary Range: $140,000-300,000. This represents the typical salary range for this position based on experience, skills, and other factors. #LI-RCP Our Red Cell Partners Benefits: For full-time roles Career track opportunity with potential for rapid advancement with strong performance as the firm grows 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family. Paid maternity and paternity for 14 weeks at employees' normal pay. Unlimited PTO, with management approval. Opportunities for professional development and continued learning. Optional 401K, FSA, and equity incentives available. Mental health benefits are available through Tara Mind. Cost effective GLP-1 solutions available through Crux. We're an Equal Opportunity Employer: You'll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. Applicant Data Disclosure By submitting an application, you acknowledge that Red Cell Partners, LLC ("Red Cell") uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, "Hiring Platforms"). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes: Managing and administering your application throughout the hiring process; Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases; Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories. Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact talent@redcellpartners.com. Red Cell requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Red Cell's data retention policies. For more information about how your data is used, please refer to our Privacy Policy and Applicant Privacy Notice.

🏢 Summary: Contract B2B role for a senior engineer to rebuild a 401(k) retirement plan administration platform from scratch with an AI-native foundation, owning end-to-end delivery across AWS infrastructure, JVM backend, and TypeScript frontend. The position involves architectural decision-making, close collaboration with US-based stakeholders, and translating complex financial domain rules into scalable software. Strong emphasis on AI-assisted engineering practices and greenfield system design in a regulated, transactional environment. 🗂️ Requirements: 7+ years professional software engineering experience, Senior or staff-level system design experience, Strong JVM backend experience (Kotlin, Java, or Scala), Solid TypeScript frontend experience (React, Angular, or similar), Production experience with AWS, Deep understanding of VPCs, IAM, RDS, Lambda or ECS, Experience with Infrastructure as Code (Pulumi, Terraform, or CDK), Experience designing non-trivial distributed systems, Fluent English, Experience in regulated or transactional domains, Ability to work with US East Coast time overlap 📃 Skills: Kotlin, Java, Scala, TypeScript, React, Angular, AWS, VPC, IAM, RDS, Lambda, ECS, Pulumi, Terraform, CDK, Claude, Cursor, CI/CD, Python 🏢 Description: Financial Platform Rebuild You’d be joining a small, senior team rebuilding a 401(k) plan administration platform from the ground up. The existing system was built and operated by a third party; the client is taking ownership and rebuilding it greenfield with a strong AI-native foundation. This is not a ticket-taking role. You’ll sit in product conversations with business users, push back on requirements, propose architectural directions, and own end-to-end delivery from infrastructure to UI. The client is US-based with engineers on both coasts. Working hours need meaningful overlap with US East Coast (afternoon CET works well). What you’d be doing - Designing and building the core platform: event processing for money math, plan configuration, eligibility rules, and supporting services. - Owning vertical slices end-to-end – AWS infrastructure, Kotlin backend, TypeScript frontend. - Acting as a thought partner on architecture decisions (IaC choice, service boundaries, data model). - Interviewing internal subject-matter experts to translate domain knowledge into working software. - Setting the bar for AI-native engineering practices – how the team uses Claude Code, Cursor, agents, and defining best practices. Logistics - Engagement model: Contract (B2B), initial 3–6 month commitment with strong likelihood of extension. - Hardware: Managed, secured environment provided. - Interview process: Internal screen → tech screen with client tech lead → live coding session (AI-assisted format) → culture call. - Start: Ideally within 2–4 weeks. Must-have - 7+ years of professional software engineering experience with senior or staff-level track record. - Strong backend engineering on the JVM – Kotlin preferred; strong Java or Scala with Kotlin exposure acceptable. - Solid TypeScript frontend experience – React, Angular, or similar. - Solid cloud infrastructure fundamentals including networking, IAM, compute, and managed services. - Strong system design and architectural decision-making skills. - English fluency. - AI-native fluency – active use of Claude Code, Cursor, or similar agents. - Production AWS experience with deep familiarity in VPCs, IAM, RDS, Lambda/ECS trade-offs. - Infrastructure as Code experience – Pulumi, Terraform, or CDK. - Experience in regulated or transactional domains (fintech, payments, healthcare, insurance, ERP, billing systems). - Comfort working in greenfield, ambiguous environments. Nice to have - Direct retirement / pensions / 401(k) experience. - DevOps ownership experience (CI/CD, observability, on-call). - Python data-stack background. Benefits - Fully paid licenses for AI tools (Cursor, Claude Pro, etc.). - Flexible working hours and remote work options. - Comfortable office in central Warsaw with essential tools. - Multisport card and private medical care. - Culture of feedback, mentoring, and career growth opportunities. - Opportunity to build systems that drive real investment decisions in a high-performing engineering culture.

🏢 Summary: Contract role for a senior engineer to rebuild a 401(k) plan administration platform from scratch with an AI-native foundation. The position involves end-to-end ownership of architecture and delivery across AWS infrastructure, Kotlin backend, and TypeScript frontend in close collaboration with US-based stakeholders. You will shape system design decisions and implement core financial domain logic in a greenfield environment. 🗂️ Requirements: 7+ years professional software engineering experience, Strong JVM backend experience (Kotlin, Java, or Scala) in production, Hands-on TypeScript frontend experience (React, Angular, or similar), Production experience with AWS and cloud infrastructure design, Experience designing non-trivial system architectures, IaC experience (Pulumi, Terraform, or CDK), Experience in regulated or transactional domains (fintech, payments, healthcare, insurance, ERP, billing), Ability to work with US East Coast time overlap, Fluent English, Experience using AI coding tools in daily workflow 📃 Skills: Kotlin, Java, Scala, TypeScript, React, Angular, AWS, VPC, IAM, RDS, Lambda, ECS, Pulumi, Terraform, CDK, Claude, Cursor, CI/CD, Python 🏢 Description: Vecten | Client: US-based, retirement plan administration | Remote (Poland-based) | Contract / B2B We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. Our clients manage a cumulative $210B+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don't need to claim credibility — we can show it. We've also done to ourselves what we now do for clients. We've restructured our own company around AI — tools, policies, roles, delivery models. This isn't a pitch. It's a playbook we've already run, and we're hiring the engineers who will run it for others. - Financial Platform Rebuild - You'd be joining a small, senior team rebuilding a 401(k) plan administration platform from the ground up. The existing system was built and operated by a third party; the client is taking ownership and rebuilding it greenfield with a strong AI-native foundation. This is not a ticket-taking role. You'll sit in product conversations with business users, push back on requirements, propose architectural directions, and own end-to-end delivery from infrastructure to UI. The client is US-based with engineers on both coasts. Working hours need meaningful overlap with US East Coast (afternoon CET works well). What you'd be doing Designing and building the core platform: event processing for money math, plan configuration, eligibility rules, and the supporting services around them. Owning vertical slices end-to-end – AWS infrastructure, Kotlin backend, TypeScript frontend. Acting as a thought partner on architecture decisions still being made (IaC choice, service boundaries, data model). Interviewing internal subject-matter experts to translate domain knowledge into working software. Setting the bar for AI-native engineering practices – how the team uses Claude Code, Cursor, agents, and what good looks like. Logistics Engagement model: Contract via Vecten (B2B), initial 3–6 month commitment with strong likelihood of extension. Hardware: Vecten provides a managed, secured environment. Interview process: Vecten internal screen → tech screen with the client's tech lead → live coding session (likely screen-share, AI-assisted format) → culture call. Start: Ideally within 2–4 weeks. Must-have 7+ years of professional software engineering experience , with a meaningful track record of senior or staff-level work. Strong backend engineering on the JVM – Kotlin, Java, or Scala in production. Kotlin experience preferred; if you have strong Java/Scala and have shipped Kotlin on a side project, that works. Solid TypeScript on the frontend – React, Angular, or similar, enough to own UI slices without needing a dedicated frontend pair. Solid cloud infrastructure fundamentals – you've reasoned about networking, IAM, compute, and managed services for real systems and can defend the trade-offs. Architecture chops – you've designed non-trivial systems, can defend trade-offs, and are comfortable disagreeing when you think someone's wrong. English fluency – you'll be talking to business users and engineers daily. Strongly preferred AI-native fluency – you actively use Claude Code, Cursor, or equivalent agents in your daily workflow. You can talk specifically about what you delegate, what you don't, and why. AWS in production – not just "deployed something once". Deep familiarity with VPCs, IAM, RDS, Lambda/ECS trade-offs on real workloads. IaC experience – Pulumi, Terraform, or CDK. Background in regulated or transactional domains – fintech, payments, healthcare, insurance, ERP, billing systems. Anything where audit trails, eligibility rules, and money math matter. Comfort working in greenfield ambiguity – you've been the second or third engineer on a platform before and know how to make progress when half the decisions aren't made yet. Nice to have Direct retirement / pensions / 401(k) experience – the unicorn profile. If you have it, lead with it. DevOps depth – you've owned CI/CD pipelines, observability stacks, and on-call rotations. Python data-stack background – likely to become relevant as analytics and reporting work comes online. What we're not asking for A specific number of years on Kotlin, AWS, or any one tool. We care about depth of judgment, not box-ticking. Front-end specialisation. You don't need to debate React Server Components – you need to ship working UI. Big-bank or HFT pedigree. This is retirement plan administration, not trading. Benefits Unrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc. Work with a talented team redefining the global perception of Poland Flexible working hours and remote work options Comfortable office in central Warsaw with all essential tools Multisport card & private medical care A culture of feedback – evaluation meetings, mentoring, and career growth opportunities Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real investment decisions. Backed by continuous growth and a strong knowledge-sharing culture ( check our YouTube ). Sounds like a perfect place for you? Don’t hesitate to click apply and submit your application today!

🏢 Summary: Lead and scale a security engineering team responsible for end-to-end vulnerability management across the software lifecycle, from source code to production. Drive automation and an AI-first approach to reduce vulnerability risk, improve remediation efficiency, and enhance lifecycle metrics and reporting. Partner cross-functionally to shift security left and ensure compliance with major regulatory frameworks. 🗂️ Requirements: Experience in vulnerability management or cloud security posture management, Experience managing and mentoring security engineering teams, Proven cross-functional collaboration with security, engineering, and product teams, Experience with secure SDLC practices, Proficiency in at least one programming language (Golang, Python, or Java), Experience with compliance frameworks (SOC2, HIPAA, PCI, FedRAMP, ISO), Ability to work on ITAR-controlled projects (U.S. person), Degree in Computer Science, Engineering, or related field (or equivalent experience) 📃 Skills: Golang, Python, Java, AI, Automation, SDLC, Cloud, Security, SOC2, HIPAA, PCI, FedRAMP, ISO, ITAR, Metrics, Compliance 🏢 Description: Here at Datadog, we think about Vulnerability Management a little bit differently. We embrace open source software, and recognize our role in the software supply chain. We also see how attackers are weaponizing vulnerabilities faster than ever before. That’s why we’re looking for a Security Engineering Manager who can help us scale and improve our overall vulnerability management lifecycle, and take an AI-first approach to addressing vulnerability risk. 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: Lead, mentor, and grow a team of security engineers responsible for vulnerability management across Datadog’s internal environment, from source code to production. Work with critical partners like SDLC Security, Product Security, and a wide range of engineering teams to “shift left” and reduce upstream vulnerabilities entering our ecosystem. Reduce engineering toil related to vulnerability remediation through a “PRs, not tickets” approach. Improve the efficiency of our overall vulnerability management lifecycle through thoughtful use of automation and AI. Develop metrics and reporting to provide leadership with an accurate view of overall vulnerability risk. Provide evidence and subject matter expertise for vulnerability management processes and controls for multiple compliance frameworks (SOC2, HIPAA, PCI, FedRAMP, ISO) Who You Are: You have experience with vulnerability management or similar domains like cloud security posture management, SDLC management, etc. You have excellent leadership, mentorship, and coaching skills, with the ability to foster a high-performing security team for a large software ecosystem You have strong communication skills, with the ability to convey technical information clearly and effectively to both technical and non-technical stakeholders. You have a proven track record of managing cross-functional collaboration between security, engineering, and product teams. You are experienced in one or more programming languages (Golang, Python, Java, etc.) You are a U.S. person and able to work on ITAR-controlled projects You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience 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: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits 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:$187,000—$240,000 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: Software Engineer role focused on building and scaling a multi-tenant customer engagement platform for enterprise contact centers. The position involves developing backend services, real-time communication components, and cloud-native infrastructure using Ruby on Rails, Node.js, and Kubernetes on Azure. You will work on distributed systems, integrations, and CI/CD pipelines to ensure reliability, scalability, and security. 🗂️ Requirements: Strong experience with Ruby on Rails 7.x and Ruby 3.x, Experience with Node.js and Express.js, Hands-on experience with PostgreSQL schema design and query optimization, Experience designing and maintaining REST APIs, Experience with authentication and authorization mechanisms (JWT, OAuth2, OIDC, policy patterns), Experience with background job systems, Experience with Redis (caching, pub/sub), Experience with Docker and writing Dockerfiles, Understanding of Kubernetes and Helm, Experience with CI/CD pipelines, Experience integrating third-party REST/webhook APIs 📃 Skills: Ruby, Rails, PostgreSQL, Redis, Node.js, Express, WebSockets, Docker, Kubernetes, Azure, AKS, Helm, GitLab, CI/CD, RSpec, Jest, JWT, OAuth2, OIDC, Pundit, Devise, DelayedJob, ActiveJob, Sidekiq, JSON:API, Graphiti, Prometheus, NewRelic, SonarCloud, Aikido, Genesys, Vonage, WebRTC, SIP, Terraform, Cloudflare, React 🏢 Description: About Us VC-backed, 15-person team across Poland, Mexico & the Philippines - with global expansion underway. We’re defining a new category: a customer contact & collaboration layer on top of enterprise contact center and CRM platforms - already trusted by global enterprises across Europe, Asia, and the Americas. Our platform is used by enterprise clients across multiple industries, with a strong focus on reliability, scalability, security, and seamless real-time communication experiences. We combine modern cloud-native architecture with deep expertise in WebRTC, contact center integrations, and customer engagement technologies. As a rapidly growing company, we maintain a strong engineering culture built around ownership, collaboration, continuous improvement, and pragmatic problem-solving. We value people who are curious, proactive, and excited about building meaningful products in a fast-moving environment. About the Role We’re looking for a Software Engineer with strong technical skills and hands-on experience building modern distributed systems and web applications. In this role, you’ll help design, develop, maintain, and improve a multi-tenant customer engagement platform used primarily by enterprise contact centers. You’ll work across backend services, infrastructure, and internal tooling to ensure our systems remain scalable, reliable, secure, and easy to evolve. Our platform combines multiple technologies and real-time communication channels, including voice, video, chat, callbacks and many more, integrated with providers such as Genesys Cloud and Vonage. The backend architecture includes: A Ruby on Rails API responsible for core business logic, authentication, integrations, and account management Several Node.js services handling real-time signaling, visitor data processing, and analytics Cloud-native infrastructure running on Kubernetes and Azure services You’ll work closely within a small, highly collaborative engineering team where ownership and initiative are highly valued. We’re looking for someone who enjoys solving complex technical challenges, moving quickly, contributing ideas, and building high-quality software that delivers real value to customers. Responsibilities Develop and maintain the core REST/JSON:API backend in Ruby on Rails 7 (PostgreSQL, Redis, Puma, Delayed Job) + upgrade to RoR 8 Own the Node.js signalling server built on Express + WebSockets Extend and debug integrations with Genesys Cloud and Vonage Write and maintain authorization policies and multi-tenant access control logic Design and run database migrations on a mature PostgreSQL schema (200+ migrations) Work within a Kubernetes on Azure AKS environment - understand Helm charts, environment configs, and deployment pipelines Participate in GitLab CI/CD - security checks (SonarCloud, Aikido.dev), Docker builds, staged deploys Gradually improve test coverage using RSpec (Rails) and Jest (Node.js) Required Skills Ruby on Rails Rails 7.x, Ruby 3.x (-> 8.x, 4.x) PostgreSQL - schema design, migrations, query optimization REST API design; experience with JSON:API / Graphiti is a plus Background jobs: Delayed Job, ActiveJob, or Sidekiq Authentication: Devise, JWT, OAuth2, OIDC Authorization: Pundit or similar policy pattern Node.js Node.js 24+, Express.js WebSockets Redis (caching, pub/sub, locking patterns) Azure Storage (Tables, Queues) or equivalent cloud storage SDKs Comfort with async code General Backend Designing and consuming third-party REST/webhook APIs Docker - writing and maintaining Dockerfiles Kubernetes basics - reading Helm charts, understanding namespaces and config maps Git + CI/CD pipelines Structured logging and APM tools (New Relic, Prometheus) Nice to Have Experience with Genesys Cloud or other contact center solution Experience with Vonage or other CPaaS telephony (SIP, WebRTC) Terraform / Azure infrastructure Cloudflare Workers React (the frontend teams will occasionally need backend pairing) Compensation 19-24k B2B Meaningful ESOP upside (VC-backed) 26 days of paid holiday

🏢 Summary: Senior Full-Stack Software Engineer role focused on building large-scale, cloud-based data processing solutions on AWS with a strong emphasis on serverless architectures. The position involves developing and maintaining web applications, APIs, and microservices while optimizing and modernizing existing cloud infrastructure. The engineer will collaborate across international teams to deliver scalable scientific and data-driven solutions. 🗂️ Requirements: Minimum 5 years of enterprise software development experience, Expert knowledge of Java with Spring and Hibernate or JPA, Strong understanding of microservices architecture and patterns, Expert knowledge of JavaScript and TypeScript, Experience with Angular or React and HTML5, Experience building REST APIs, Knowledge of SQL, NoSQL and graph databases, Strong AWS knowledge including core services, Hands-on experience with Docker, Experience with Git and GitOps workflows, Ability to deploy code to production environments, Experience working with Scrum methodology, Fluent English 📃 Skills: Java, Spring, Hibernate, JPA, JavaScript, TypeScript, Angular, React, HTML5, Git, GitOps, REST, SQL, NoSQL, AWS, S3, IAM, EC2, ECR, ECS, Lambda, Serverless, Docker, RabbitMQ, OAuth2, Scrum, Oracle, MySQL, MongoDB, Spock, CI 🏢 Description: We are a provider of digital transformation and technology consulting services with a portfolio of solutions for both clients who do not yet have Salesforce and large organizations that work on Salesforce and use its extensive capabilities ☁. We also provide body and team leasing services in IT, providing specialists in various fields. Model : remote Employment type: full-time Background & Project: A team specializing in Data Engineering and bioinformatics systems development is seeking experienced and motivated Senior Full-Stack Software Engineer with hands-on AWS experience . This role involves developing large-scale cloud-based data processing solutions, primarily using AWS. We are looking for self-motivated and proactive engineer to contribute to the development of highly scalable computing solutions built on AWS services, with a strong focus on serverless architectures. The position involves leveraging AWS services and improving existing infrastructure to optimize, modernize, and future-proof current solutions. The engineering team operates across multiple time zones, including Pacific Time (PT), Eastern Time (ET), and Central European Time (CET). Virtual meetings and collaboration via Slack may take place during the core working hours of the San Francisco (PT) time zone. During the first six months of onboarding, increased collaboration and some overlap with the PT time zone will be expected. Responsibilities: Work together in a collaborative and practical manner to address scientific softwareengineering challenges. Engage with both local and offshore engineering teams to assist in software development endeavors Leverage existing GenAI and RAG solutions and services developed by other teams tointegrate data and existing capabilities into internal chatbots to enhance usability anddata discovery Rapid prototyping and iterations to foster innovation and enable the company to exploresolutions in a shorter time-frame. Design, build and maintain the web application providing visibility to our data management platform Collaboratively and pragmatically solve scientific software engineering challenges. Collaborate with local – Polish, the US and Canada engineering teams to support software development efforts. Contribute to the broader scientific community through open-source software development. Requirements: Minimum 5 years of work experience related to software development in enterprise projects/products and expert knowledge regarding one of the following backend technologies: JAVA (very good knowledge of frameworks like Spring, Hibernate / JPA, knowledge of other JVM based programming languages is a plus); Understanding of microservice architectures, principles and patterns Expert knowledge of Javascript and TypeScript programming ( Angular 5+ or React,with good knowledge of HTML5. Experience building reusable web components. Knowledge of git and standard GitOps workflow (MRs, protected branch), conventional commits, semantic versioning, pre-commit hooks, Experience building APIs, good understanding of REST principles Knowledge of database techniques like SQL, NoSQL and graph databases Fluent in the usage of cloud computing models (IaaS, PaaS, SaaS) and good knowledge of containers connected with this DevOps mindset and excellent knowledge of cloudplatforms like AWS. Ability to deploy yourself code to production Docker (must have) AWS cloud (including S3, IAM, EC2, ECR, ECS, AWS Lambda, Serverless) Experienced in product development with Scrum methodologies Experienced in designing software components based on limited and evolving requirements Attention to details, focus on user/developer experience Ability to coordinate work and direct collaboration with the customer Fluent in English General knowledge RabbitMQ (or other similar message broker) Good communication skills, team player, work under tight deadlines. Nice to have: Good understanding of HTTP protocol (status code, headers, etc…) Basic knowledge of OAuth 2.0 Building distributed systems Automated testing – unit, int, e2e, performance, regression Spock (Groove DSL) CI pipelines Oracle/MySQL/Mongo We offer: Remote work model B2B contract Benefits package, Daily support from team leaders, Dedicated certification budget, Integration trips/events.