Senior Infrastructure Software Engineer Jobs

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our Senior Software Engineers lead and mentor engineers, delivering high-value products for our customers and infrastructure that enables our business to scale. Vanta’s team and technology surface are growing quickly, and it’s essential that we invest in the right abstractions and systems to enable us to scale with our business. As a Senior Software Engineer, you’ll be responsible for setting technical direction to enable our product and infrastructure to scale with our business, driving complex projects across our technical stack, and mentoring our talented engineering team. Your past experience will be leveraged to enable and accelerate Vanta’s growth. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We’re growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company. Visit our Vanta Engineering Blog to learn more about what our team is working on! Please note we are only able to hire in Alberta, Ontario, and British Columbia. The GRC (Governance, Risk and Compliance) organization is the primary org responsible for developing and maintaining Vanta's core product offerings. These teams are at the heart of Vanta moving upmarket to support enterprise customers and build products that enable our customers’ existing security and compliance programs to integrate seamlessly with Vanta, giving them invaluable insights and recommendations to continue to operate, mature and evolve their programs. What you’ll do as a Senior Software Engineer at Vanta: Lead comp

About Us Herald is transforming how commercial insurance gets sold. We combine modern API infrastructure with industry-specific AI that can read emails, extract data, generate quotes, and guide brokers through submission workflows end-to-end. The result: faster placement, cleaner operations, and meaningful revenue growth. The market is huge, the need is obvious, and the product we’re building doesn’t exist yet. If you want to help shape the operating system for modern insurance, we’d love to work with you. We’re a team of insurtech veterans with experience at At-Bay , Kin , and Insurify . We’ve raised our Series A funding from top-tier VCs ( Lightspeed , Brewer Lane, Afore , Underscore ) along with a panel of insurtech founders ( At-Bay , Marble ), insurance executives ( CRC ), and early employees of other successful API infrastructure companies ( Plaid , Alloy ). The role Herald is building Babbix, an AI-native platform that commercial insurance brokers use to create submissions and get quotes directly from their inbox. It orchestrates broker workflows end-to-end by combining classification pipelines, data extraction models, and a broker-facing web interface. Delivering high-quality product experiences and shipping new AI-driven capabilities are core to our success. As a Senior Software Engineer (Full Stack) on the Babbix product, you’ll drive major product initiatives from inception to delivery. You’ll work directly with brokers and internal stakeholders to shape ideas, turn them into designs, and build them into production-ready features. You’ll work across the stack, from frontend UI to backend APIs to model orchestration, to deliver effortless workflows and make our AI output transparent, accurate, and trustworthy Why This Role Matters Commercial insurance is one of the last major industries still powered by email. Every submission, quote, and policy must be manually processed by brokers, slowing them down and costing them deals. By bu

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity: Datadog’s Senior Staff Engineers are technical leaders operating at the forefront of large-scale systems design, building the infrastructure that will support our next five years of growth and beyond. They do this in three major ways: As individual contributors, they bring world-class technical depth to build industry-leading systems in areas such as observability data platforms, distributed query engines, and real-time event streaming at global scale. As technical leaders, they apply broad architectural perspective and deep systems thinking to align design decisions across teams and domains. They work across complex, multi-team problem spaces to define long-term technical direction, drive large-scale initiatives forward, and ensure consistent execution. As engineering stewards, they play a key role in evolving our systems and engineering culture. They actively participate in Datadog’s senior technical community, bringing external insights and internal experience to elevate engineering standards and mentor the next generation of technical leaders. Examples of projects a Senior Staff Engineer may lead include designing and launching a new distributed data storage engine capable of handling hundreds of millions of records per second, building the real-time infrastructure behind a new observability product, or re-architecting a core service to support exponential growth in throughput and complexity. What You’ll Do: Be the technical owner of multiple critical systems or architecture areas, often spanning several t

Job Title: Senior Staff Software Engineer - Enzyme Location: Mountain View, California --------------------------------- P-1183 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. The Lakeflow Engineering team here at Databricks is responsible for the entirety of the ETL product line. This includes products such as Materialized Views, Structured Streaming, and Delta Live Tables. We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers. We're seeking a dedicated technical leader to spearhead the Materialized Views engineering team. The team is responsible for building next generation Materialized View features for both ETL workloads and for query acceleration. As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art: Incrementally maintaining materialized views Query optimization Resource management Efficient storage structures Automatic physical data optimization The Impact you will have: Solve real business needs at large scale by applying your software engineering. Deliver a highly scalable, available, and fault-tolerant architecture for materialized views Low level systems debugging, performance measurement & optimization on large production clusters. Build architecture design, influence product roadmap, and take ownership and responsibility over new projects. Introduce tools to allow greater automation and operability of services. Use your deep experience to help prevent and investigate production issues.

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our Senior Software Engineers lead and mentor engineers, delivering high-value products for our customers and infrastructure that enables our business to scale. Vanta’s team and technology surface are growing quickly, and it’s essential that we invest in the right abstractions and systems to enable us to scale with our business. As a Senior Software Engineer, you’ll be responsible for setting technical direction to enable our product and infrastructure to scale with our business, driving complex projects across our technical stack, and mentoring our talented engineering team. Your past experience will be leveraged to enable and accelerate Vanta’s growth. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We’re growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company. Visit our Vanta Engineering Blog to learn more about what our team is working on! The GRC (Governance, Risk and Compliance) organization is the primary org responsible for developing and maintaining Vanta's core product offerings. These teams are at the heart of Vanta moving upmarket to support enterprise customers and build products that enable our customers’ existing security and compliance programs to integrate seamlessly with Vanta, giving them invaluable insights and recommendations to continue to operate, mature and evolve their programs. What you’ll do as a Senior Software Engineer at Vanta: Lead complex projects with multiple stakeholders and engineers to deliver significant imp

(P-1174) We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide. Key Characteristics As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. Job Description At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Impact you will have: Solve real business needs at large scale by applying your software engineering. Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers Low level systems debugging, performance measurement &

(P-1174) We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide. Key Characteristics As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. Job Description At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Impact you will have: Solve real business needs at large scale by applying your software engineering. Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers Low level systems debugging, performance measurement &

Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in large-scale Foundation models, VLMs, and VLAs to make autonomous driving as seamless as possible. The Opportunity Are you excited to drive our ML Performance Optimization initiatives and make our ML models that enable autonomous driving as fast and efficient as possible? You will get to work with SOTA accelerators, cutting-edge techniques in distributed training, quantization, distillation, and pruning, among other things, working closely with all the Autonomy teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox. We build and operate the base layer of ML tools, model development, and serving systems that our applied research teams use for in- and off-vehicle ML use cases. You will work alongside a team of strong software engineers and act as a force multiplier for our internal customers. This team has many growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our stack behind autonomous driving, please look here. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent. In this role, you will: Lead the design, implementation, and operation of training performance optimizations (data/tensor/pipeline parallelism, mixed precision, gradient checkpointing, GPU kern

We are seeking software engineers to work on next-generation graphics and computing products. Our charter is to build the most stressful set of applications a GPU or high performance computing server would see in its life cycle. The best candidates will have strong C++ programming skills, detailed knowledge of graphics concepts and algorithms, a proven foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture at systems level. Excellent interpersonal skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will extensively use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors. Join us! What you'll be doing: Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products. Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization. You will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and OpenGL extensions. This job will require an understanding of our hardware and software architectures. What we need to see: BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science or equivalent experience Strong C/C++ or Python programming skills Familiarity with computer architecture, and ability to work close to the hardware 5+ years of relevant experience Background with PCIe, NVLink or server product technologies like InfiniBand, Ethernet is a plus Previous experience of working on a large system software code

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters. Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available Triage and root-cause performance issues reported by our customers Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information <li

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Senior Software Engineer Opportunity The team that built Jeeva AI is building Digital Workers, a new suite of autonomous agents for identity operations and security inside Okta. The team works directly with Todd McKinnon, Okta's co-founder and CEO, with the opportunity to bring this product to Okta's 20,000+ customers. You will help shape the product with the ownership and pace of a startup and the resources of a public company. You will build the harnesses and evaluations that make these workers reliable. They investigate risk, use tools, wait for approvals and complete tasks across enterprise systems. Bring depth in agent execution or model quality and help turn it into working software customers can trust. About You Production builder: You have shipped AI software and know what changes when real users depend on it. Careful evaluator: You investigate failures and use evidence to judge quality. Strong owner: You follow an improvement through code, evaluation, release and customer use. What you will be doing Build the agent harness for planning, tool use, memory, context compaction, interruption and recovery during long-running work. Integrate OpenAI and Anthropic model APIs. Select models using measured quality, latency and cost, with clear failure handling. Evaluate existing harnesses and build only the missing pieces. Keep the harness connected to AWS workflow execution and approval state. Keep authorization and sensitive writes behind application po

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? This role is for a highly experienced Back-End Software Engineer who wants to work on core systems that shape how the platform (Model Vault) operates. You will help define the architecture of the platform where reliability, security, performance, and simplicity all matter, and where many of the problems do not have off-the-shelf solutions. Model Vault is Cohere’s inference platform for deploying and operating models securely at enterprise scale. The team owns the systems between a customer and the underlying AI infrastructure, including identity, deployments, metering, billing, security, privacy, and confidential computing. We are strengthening these systems as Model Vault grows, with the goal of scaling to millions of users and supporting some of the world’s most demanding enterprise workloads. As a Senior/Staff Software Engineer, you will: Evolve and scale the backend systems that power Model Vault, including authentication and authorization, deployment management, billing, metering, and customer lifecycle. Lead major architectural initiatives across identity, payments, usage systems, platform scalability, and o

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. We are looking for a strong Senior Software Engineer in Test (SET) to build scalable automation frameworks for multi-language SDKs, Model Context Protocol (MCP), and AI-powered workflows. The role focuses on SDK testing, MCP protocol validation, prompt automation, and developer productivity tools. Strong programming and framework development skills are essential; UI and API automation are secondary. Key Responsibilities Design and develop reusable automation frameworks for SDKs across multiple languages, including TypeScript/JavaScript, Python, Java, and Go. Automate SDK functionality, compatibility, error handling, integration, and release validation. Build and maintain MCP test frameworks to validate clients, servers, tools, resources, prompts, transports, and protocol interactions. Develop automated tests for prompts, AI workflows, tool calling, structured outputs, and LLM response quality. Develop and maintain automated test coverage for XAA, validating functionality, integrations, error handling, and reliability across supported workflows. Build reusable test utilities, mocks, test harnesses, and developer productivity tools. Integrate automated tests into CI/CD pipelines and troubleshoot flaky tests, failures, and infrastructure issues. Leverage GitHub Copilot, Claude Code, and other GenAI tools for test generation, debugging, and framework development. Collaborate with developers, architects, and platform teams to improve quality, reliability, and re

Due to the nature of the projects and specific client security clearance, this role requires the successful candidate to be a Singapore Citizen or PR of Singapore. Senior Infrastructure Engineers help clients build and evolve systems that client organizations use to deliver and run software. They are comfortable working within teams of people with diverse roles and levels of experience to find solutions that meet the needs of the organization. They combine technical expertise and understanding with consideration of different situational needs. They champion technical quality and effective ways of working as a means to better outcomes for clients, rather than an end in themselves. They help clients to understand agile ways of working and DevOps as a mindset for collaboration. Job responsibilities You will work within teams to launch projects through hands-on implementation, evaluate existing infrastructure and drive improvements. You will explore the client’s needs and collaborate on building a technical roadmap and impactful solution that will support their ambitious business goals. You will help shape and build Thoughtworks’ cloud and infrastructure practice through collaboration with other practitioners, business development, marketing and capabilities development teams. You will ensure and build the controls and processes for continuous delivery and evolution of infrastructure and applications, driving automation through all stages of the process. You will take a proactive role in monitoring and ensuring that technical expectations of deliverables are consistently met on projects. You will provide expertise and guidance in the areas of DevOps, cloud, platform and infrastructure engineering, both internally and in client sites. You will establish trusting and thoughtful partnerships with a client’s engineering leadership. You will adjust and suggest innovative solutions to current constraints and business policies. Job qualifications Technical Skills You can

About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery! We're looking for experienced engineers to join our fast-growing engineering team to help us develop a 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role We’re looking for product-focused iOS Engineers who love building reliable, intuitive, and beautiful experiences on mobile. We aren’t just developing an app; we’re building a mobile ecosystem from the ground up that integrates the consumers, merchants and drivers. This is a full-stack role where you’ll not only build complex apps but will also make impactful decisions on the product. You're excited about this opportunity because you will... Work within our product teams to build exciting features Improve our code base through continuous refactoring Solve challenging real-time data transfer and synchronization problems Extend and implement our APIs Implement unit tests Keep up-to-date with the industry standards of iOS development We're excited about you because you have... B.S., M.S., or PhD. in Computer Science or equivalent 5+ years of industry experience Expert at Swift, and iOS SDK Familiarity with networking, storage, and Cocoapods Systems and OOP knowledge Experience building, launching, and iterating on mobile apps Compensation Actual compensation within the pay range listed below will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. Base salary is localized according to employee work location. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package for all regular employees, that includes paid time off, paid parental leave, wellness benefit and s