Senior Software Engineer Data Infrastructure Jobs

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Assigned Support Engineer, you’ll be a trusted technical advisor to GitLab’s largest Self-managed, GitLab Dedicated, and GitLab.com customers, helping them avoid operational disruption and get the most from GitLab. You’ll combine deep Linux systems expertise, GitLab and CI/CD knowledge, and a proactive support mindset to understand each customer’s environment, anticipate and prevent issues, and solve complex technical and business challenges. In a typical week, you might be prioritizing strategic blockers with customer stakeholders, partnering with Product, Development, Infrastructure, Customer Succ

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Professional Services Engineer at GitLab, you'll work directly with customers to deliver installation, migration, training, and advisory services that help them adopt GitLab successfully. You'll lead engagements from single-node Omnibus installs to large reference architectures built with infrastructure as code (IaC) and configuration as code. You'll also guide migrations from other systems to GitLab SaaS or self-managed deployments, and help customers make practical decisions that improve reliability, security, and day-to-day workflows. In this role, you'll work closely with customers and Git

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX - Hybrid About the team The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Red Team in the Security Foundations org is responsible for conducting security assessments against Snowflake’s diverse cloud environment and finding vulnerabilities in software, systems, and networks. In this role, you will execute security assessments across Snowflake’s corporate and product environments. You will partner with cross-functional teams to communicate gaps discovered during engagements and help drive remediation. You will develop tools, perform security research, and build infrastructure to augment the Red Team’s capabilities. Our ideal candidate wakes up each morning thinking about different parts of the business that can benefit from security assessments. Their goal is to identify relevant security risks and help the business understand them so they can build effective defenses and protect Snowflake customers and their data. RESPONSIBILITIES Develop tools, methodologies, and infrastructure to support Red Team engagements in a variety of cloud environments and novel platforms Participate in security assessments against a diverse cloud environment and find vulnerabilities in software, systems, and networks Set scope, objectives, and timelines for security assessments and leverage data to create meaningful metrics Work with security and engineering teams t

At Carbon, our mission goes beyond 3D printing. We are enabling creators everywhere to make what the world needs, right now. Our company is built on the idea that diverse fields of study must come together to solve intractable problems. We have grand ambitions to create technology that will influence industry around the world. You will be joining a diverse team with a vibrant culture, where team success is as important as celebrating individual contributions. Help us change the world and we will help you change yours. About the Role Carbon is looking for a Senior Production Systems/Test Engineer to join our team of talented engineers in our Santa Clara, CA office. The ideal candidate is a systems engineer with a passion for solving complex manufacturing challenges -- someone who thrives on digging into difficult problems across hardware, software, and data to find root cause and drive lasting fixes. In this role, you will lead troubleshooting of our complex end-of-line systems and develop robust test and bring-up processes that make our production line more efficient, self-sustaining, and capable of delivering the highest quality products. You will be a key driver in building the kind of systematic, repeatable testing infrastructure that lets our production team move fast with confidence -- ensuring every product that leaves the building meets Carbon's exacting standards. This role is located at our Santa Clara location on Thomas Road. This role is is a full time in-office job Monday through Friday. Responsibilities Own root cause analysis and troubleshooting of complex electro-mechanical and optical systems, using data analysis and MES tools to identify, validate, and resolve issues at their source. Serve as a key technical resource for the production floor -- rapidly unblocking manufacturing personnel when issues arise, driving corrective actions through to full resolution so the line stays moving and problems don't recur. Part

We are seeking a Senior Security Engineer to join our growing security team. As we continue building AI-powered services that deliver tremendous value to our customers worldwide, and given the rapid pace of our business growth, we are looking for experienced and capable talent to strengthen cybersecurity across all stages of product development and to collaborate closely with our software engineering teams. You will also play a key role in driving information security initiatives and integration efforts across the group, including addressing the emerging risks introduced by rapid advancements in AI technologies. Responsibilities Design, implement, and maintain secure CI/CD pipelines with automated security controls (SAST, DAST, SCA, secrets scanning, and IaC scanning) integrated into development workflows Establish and drive the Secure Software Development Lifecycle (SSDLC), ensuring security is embedded at every stage — from design and threat modeling through deployment and runtime Define and standardize security requirements analysis and threat modeling practices to identify risks during the design phase Develop Policy as Code solutions to enable automated compliance and governance checks Conduct pre-production security assessments, vulnerability assessments, and penetration testing Implement security best practices for Infrastructure as Code (IaC) and cloud-native environments Build and maintain security monitoring, log aggregation, and alerting systems to support detection and response Create security deployment checklists and continuously improve production environment security posture Assess and mitigate emerging risks introduced by AI technologies, including risks related to LLM applications, AI agents, prompt injection, data leakage through AI tools, model supply chain, and AI-assisted development workflows Partner with engineering teams to evaluate, adopt, and govern AI-powered development tools (e.g., AI coding assistants, AI agents) in a secure and compli

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role Hiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. We are now reinventing how that works for the agentic era. The ML systems that power this platform are not auxiliary features. They are the product. Open Problems The agentic era is reshaping every layer of the hiring stack. These are some of the core problems you'll be working across, none of them fully solved. Chakra: Building an autonomous AI interviewer that conducts, adapts to, and evaluates technical interviews end to end. Integrity: Detecting fraud and suspicious behavior across multiple signal types. The ways candidates game assessments change frequently, and the models need to keep up. Evaluation: Measuring technical skill in a world where AI writes the code. The old proxies no longer hold and the new ones have not been defined yet. Your focus will shift across these depending on where the highest-leverage work is at any given time. What you will do Design and ship production ML systems across Chakra, integrity, and evaluation domains. Own the full ML lifecycle: problem framing, data strategy, experimentation, deployment, and iteration. Build evaluation infrastructure and bench

Senior Post Silicon Validation Engineer (Bringup) Salary $156,500 - $211,700 + Phantom Equity + Benefits Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin which will play a central role in Graphcore's work building the future of AI computing. We are looking to hire Post-Silicon Validation Engineers to join our collaborative, cross-functional development team validating cutting edge, high performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. The Post-Silicon Validation team sits within the Architecture and Validation team, we are responsible for validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and also supporting the Silicon Characterisation team. Responsibilities and Dutie

Who You Are You are a seasoned security professional with a deep passion for uncovering vulnerabilities and improving product security through technical assessments and hands-on penetration testing. You pride yourself on being able to execute sophisticated security tests, identify issues, and implement pragmatic solutions, all while keeping the customer experience central. You enjoy working collaboratively across teams and have the ability to communicate complex technical concepts in a clear, approachable manner. Who We Are The MongoDB Product Security organization is a diverse collection of individuals working together to scale MongoDB’s security, both security of the products themselves and the security features we offer to customers. The team is responsible for assessing the security of our products including MongoDB Atlas Cloud , Ops Manager , Kubernetes Operator , and the MongoDB Server ( Community and Enterprise editions). Our team provides assurance that new MongoDB products and features are built to meet our customers’ high security needs through rigorous threat modeling, code analysis, and penetration testing. The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects our customers and their data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The Product Security team: Conducts rigorous penetration testing and security assessments of MongoDB products Develops and deploys advanced AI tooling and modern automation to enhance assessment efficiency and workflows Works closely with Product and Engineering teams to advocate for security best practices and remediate vulnerabilities Builds a developer-driven security program where there is tight integration between engineering artifacts, process, and tooling Uses software architecture and coding patterns to reduce the impact of security issues Role Responsibiliti

What We Do At GoGuardian, we’re helping build a future where all learners are ready and inspired to solve the world’s greatest challenges. Our award-winning system of learning solutions is purpose-built for K-12 and trusted by school leaders to promote effective teaching and equitable engagement while helping empower educators to keep students safe. What It’s Like to Work at GoGuardian We are an outcomes-focused learning company with a steadfast focus on improving learning environments, one classroom at a time. Working with us means joining a remote team of diverse, committed, mission-driven employees who are inspired by our vision, dedicated to our customers, and ready to roll up their sleeves. Guardians put their heads together to solve problems, learn together from experiments that fail, and stand together by their work with full accountability. We balance our diligence with an inclusive culture that invites everyone to bring their whole self to work. Join us and learn why “I love the people here” is one of the most frequent comments we hear from Guardians. What We Do At GoGuardian, we’re helping build a future where all learners are ready and inspired to solve the world’s greatest challenges. Our award-winning system of learning solutions is purpose-built for K-12 and trusted by school leaders to promote effective teaching and equitable engagement while helping empower educators to keep students safe. The Role We’re looking for a Senior Site Reliability Engineer (SRE) to help design, scale, and maintain the infrastructure that powers our core products and services. In this role, you’ll collaborate with engineering teams to drive operational excellence, optimize system performance, and ensure high availability across production environments. This position sits on Tech Foundation, a team that manages core cloud infrastructure, shared data services, and developer tooling to empower our product teams to deliver software efficiently and secu

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Job Description/ Responsibilities: Designing, developing and maintaining stable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production. Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow. Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data Technology Eva

Job Summary Reporting to the Memory Validation leadership team, the Senior Silicon DDR/HBM Validation Engineer will be responsible for the bring-up, validation, characterization and debug of advanced memory subsystems used in next-generation AI compute platforms. The role will focus on DDR and HBM technologies, working closely with silicon design, firmware, characterization, platform and systems teams to ensure robust memory subsystem functionality, performance and reliability. The successful candidate will take ownership of significant validation activities, contribute to debug and root-cause analysis efforts, and help improve validation methodologies, automation and infrastructure. The Team The Memory Validation team sits within the Validation organisation and is responsible for the bring-up, validation, characterization and debug of memory subsystems across Graphcore silicon and platform products. The team supports DDR and HBM validation activities throughout the product lifecycle, from first silicon through production readiness. Engineers work closely with architecture, RTL, firmware, characterization, systems and platform teams to ensure memory technologies meet functionality, performance, reliability and performance objectives. Responsibilities and Duties Execute validation and bring-up activities for DDR and HBM memory subsystems Verify memory bring-up software, firmware and scripts against defined project requirements Debug firmware, hardware and system-level issues and contribute to root-cause analysis activities Analyse system logs, validation data and characterization results to identify failures and performance issues Perform PHY characterization and analog-level analysis during stress testing and validation activities Develop and execute functional, stress, performance and corner-case validation tests Perform signal integrity, voltage, frequency and timing measurements using laboratory instrumentation Char

About the Team Our DD Labs team builds real-time autonomous delivery systems. The Planning & Decision-Making group is investing heavily in deep reinforcement learning to move beyond classical planning, learning policies that generalize across novel driving scenarios, handle long-tail edge cases, and improve continuously from large-scale fleet data. Our models jointly handle prediction and planning in a single unified architecture. Our stack is pure JAX end-to-end: the same code you train with is the code that runs on the robot. No C++ rewrites, no TensorRT export. A new policy goes from training to on-vehicle deployment in minutes. About the Role As a Senior/Staff Deep RL Engineer, you will design, train, and deploy deep reinforcement learning policies that make real-time driving decisions for our autonomous vehicles. You will own the full lifecycle, from problem formulation and reward design through large-scale distributed training to on-vehicle inference. You'll help define how learned components compose with the rest of the autonomy stack to produce robust, shippable behavior. You’re excited about this opportunity because you will… Formulate complex driving tasks as RL problems with well-shaped reward functions and expressive state/action representations. Design and train model-based deep RL agents using GPU-accelerated simulation at massive scale, including improving the simulator itself. Build and maintain distributed training infrastructure in JAX across large compute clusters. Build agentic optimization systems that automatically improve code, run experiments, analyze metrics, and iterate on RL policies with minimal human intervention. We’re excited about you because… BS/MS/PhD in CS, EE, Robotics, or a related field, with a strong foundation in reinforcement learning and deep learning. You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing,

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a senior engineer to improve the reliability, performance, and user experience of the high-performance computing infrastructure that supports silicon development. This role sits at the intersection of EDA, distributed systems, CI/CD, and developer productivity. You will help engineering teams run simulations, verification, coverage, and other silicon-development workloads with fewer failures, shorter feedback cycles, and better operational visibility. This role is hybrid, based out of Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Hold an advanced engineering degree (BS, MS, or PhD in EE, ECE, CS, or related field) paired with over seven years of hands-on industry experience. Bring expertise in Git branch strategies, merge conflict resolution, operational failure debugging, and software engineering repository management practices. Possess practical working knowledge of SQL databases, data query optimization, and modern structured data technologies. Leverage AI-assisted development tools and agentic workflows to solve complex technical problems, enhance automated testing, and streamline

Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is growing quickly. You will play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features, while also balancing scalability, reusability, and performance. Role Overview: We're looking for a Staff Platform Engineer to serve as the technical backbone of our Engineering organization. You'll own the technical strategy, and delivery of our platform — spanning architecture, DevOps, SRE, security, Dev-ex. This is a hands-on staff level role: you'll set technical direction, drive cross-team alignment, and be the senior escalation point for platform challenges. What you’ll do: Drive platform reliability, scalability, security, and cost efficiency across all environments. Technical Leadership: Provide technical leadership for platform components, Influence the technical strategy and architecture of our cloud platform, from CI/CD pipelines to observability and incident response. Design and implement platform components and reusable integration patterns that minimize custom development efforts, reduce the time spent on repetitive tasks, and ensure that integrations scale across multiple healthcare systems Partner closely with Architecture, DevOps, SRE, and Security teams to deliver cohesive platform solutions Cross-Functional Collaboration: Work closely with product teams, and solutions architects to understand integration needs and ensure the platform meets current and future business requirements. Serve as a senior escalation point for infrastructure and platform incidents Establish frameworks for: AI governance and compliance. Observability of systems. Traceability of decisions and outputs. Ensure enterprise readiness with security, auditability, and reliability in production environments. Security & Compliance : Ensure all p