Senior Software Engineer Data Infrastructure Jobs

About Us OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, PayPal, Affirm, Polygon, Kraken, Nium & others. We're backed by Accel, Lightspeed, NfX and other top-tier investors. Role Overview We're hiring a Staff Software Engineer for our Payments team. This is the senior-most individual contributor role on the systems that move money across borders — payment orchestration, corridor and partner integrations, FX and quoting, the payment lifecycle from initiation to settlement confirmation, and the regulated controls (safeguarding, transaction monitoring) that our EU licenses demand. It is a hands-on technical leadership role on the money path, where a new corridor is only as good as its failure handling, and a regulatory control is only as good as the evidence it produces. The cost of a defect is measured in real money, stuck customer payments, or a finding from a regulator. You will report to an Engineering Manager and work closely with engineers, product, compliance, and partnerships across the company. You will set the technical direction for payments, lead the hardest corridor and orchestration problems, and raise the bar for how we build. This role requires someone who has built and operated payment or other correctness-critical systems in production, ideally against external partners whose behavior you do not control. If your experience is limited to systems where occasional data inconsistency is acceptable, where every dependency was internal and well-behaved, or where you have not owned something end to end for a meaningful stretch, this will be a stretch. Key Responsibilities Own the technic

About Us OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, PayPal, Affirm, Polygon, Kraken, Nium & others. We're backed by Accel, Lightspeed, NfX and other top-tier investors. Role Overview We're hiring a Staff Software Engineer, Frontend for our Banking team. This is the senior-most individual contributor role for the banking user experience and the frontend platform behind it — onboarding, banking product screens, and the unification of banking and payments, along with the SDK and shared foundations that let those experiences be built quickly and integrated externally. You will report to an Engineering Manager and work closely with engineers, product, and design. You will set the standard for how frontend is built across the platform, lead the hardest frontend problems, and make other teams faster. This role requires someone who has built frontend as a platform, not just individual product screens. If your experience is limited to single-product frontends without reuse, consistency, or SDK thinking, this will be a stretch. Key Responsibilities Own the frontend technical direction for banking: onboarding, the unified banking and payments experience, and banking product surfaces. Design and build a Banking frontend SDK - hooks and UI components - packaged for external integration, with documentation and framework integrations. Shape the shared component library and a micro-frontend approach that keep product surfaces consistent. Define frontend coding and component standards across the platform. Own the frontend observability and test-automation bar so regressions are caught before customers feel

About the Team OpenAI's research training infrastructure powers how our frontier models are trained and evaluated. The Simulation team sits at the intersection between the agentic harness that powers OpenAI's products and the research infrastructure where GPT-next is trained, ensuring that our model's training environment is as realistic as possible. This team owns the integration layer that connects our production harness capabilities into the training stack. The work is highly cross-functional and high leverage: researchers depend on it to run experiments and evaluations reliably as well as to develop the next generation of harness capabilities. Failures in this surface can materially affect training velocity and correctness. About the Role We're looking for a Principal Software Engineer to lead the architecture and evolution of the Simulation Platform. You'll own a critical interface between research and engineering, building the systems, APIs, and operational patterns that let researchers use agentic coding infrastructure safely and effectively in training environments. This role is ideal for a senior backend or infrastructure engineer with strong technical judgment, product sense for highly technical users, and the ability to drive execution across multiple teams. The highest-leverage work is building robust infrastructure that supports and accelerates research without compromising engineering quality. In this role, you will Design, build, and evolve the integration between the Codex harness that powers OpenAI's products and research training infrastructure used for training GPT-next Build a platform for our LLMs to train and be evaluated in simulated environments that mimic their deployment setting as closely as possible, on every axis: agentic harness, compute substrate, timing, tools, data sources, humans in the loop, and more Own major integration surfaces end-to-end, from architecture and API design through rollout, operations, and long-term maintenance Bu

Senior Backend Engineer About LaunchDarkly Engineering LaunchDarkly helps engineering organizations ship software and AI with speed, safety, and control. Our platform gives teams the confidence to release gradually, target experiences to the right audiences, learn through experimentation, understand what is happening in production, and respond quickly when risk appears. Our engineers build the systems, services, SDKs, developer tools, cloud infrastructure, and product experiences that make this possible. The work spans high-scale distributed systems, reliable data and event pipelines, intuitive enterprise workflows, and AI-powered capabilities that help teams manage the next generation of software delivery. LaunchDarkly’s SDKs are used in systems that perform trillions of feature flag evaluations each day, giving our engineering work a direct connection to the reliability and customer experience of software around the world. As the company grows, we are expanding beyond traditional feature management into experimentation, observability, and AgentControl—helping customers control more of the software and AI lifecycle. That creates an unusually broad set of technical challenges, visible customer impact, and room for engineers to shape what comes next. We believe in the power of teams. We work with humility, openness, curiosity, and care; we value clear communication, thoughtful technical judgment, inclusive collaboration, and a strong sense of ownership. We encourage people to apply even when they do not meet every qualification listed below. We are interested in the experience, perspective, and potential you would bring to the role. About the role We have multiple backend engineering roles open on various teams. The specific level, scope, and technical focus will be aligned to the opportunity and the candidate’s experience. Experience with cloud platforms, distributed systems, developer tools, SDK engineering, data infrastructure, observability, or AI/agent systems m

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! With your passion to learn about the cloud, you are excited to help build the Cloud Native management interfaces of an already Cloud Native Database platform. You will join a team of experienced engineers who are defining what it means to be a cloud native database platform, and you will contribute directly to the components and integrations that make it happen. With guidance from senior engineers, you will deepen your knowledge of the Cloud Native ecosystem, including Kubernetes, observability and automation tooling, and help bring Couchbase everywhere it can add value. You will have opportunities to contribute to Open Source Cloud Native projects and grow your presence in those communities. In doing so, you will help Couchbase continue to gather users, deployments and customers in the constantly growing

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. As a Senior Analytics Engineer, you’ll be responsible for laying the foundation for a best-in-class analytics function. You’ll partner closely with our data science team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. What you’ll do as an Senior Analytics Engineer at Vanta: Design and implement complex data models to enable dashboards, self-serve analytics, and data science teams. Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses. Enable AI tooling with semantic layers and observability, guiding analytics functions on best practices. Manage and improve data infrastructure needed to drive data-driven decision-making solutions. Help develop front end applications to expose analytical data sets enterprise wide Work with the Product and Corporate Engineering system teams to structure source systems for reporting consumption across the enterprise. How to be successful in this role: Have at least eight years of experience working with data and two years of experience in Software Engineering or a related field. Have experience with common analytics tooling (e.g. dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma). Bring a system-oriented and software engineering mindset to the Analytics Engineering practice. We’re looking to build frameworks that manage data, and minimize bespoke queries. Deep knowledge of crafting dimensional and fact models in modern data fashion. Have a passion for enabling the developer experience of data, and being obsessed with givin

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. As a Senior Analytics Engineer, you’ll be responsible for laying the foundation for a best-in-class analytics function. You’ll partner closely with our data science team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. What you’ll do as an Senior Analytics Engineer at Vanta: Design and implement complex data models to enable dashboards, self-serve analytics, and data science teams. Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses. Enable AI tooling with semantic layers and observability, guiding analytics functions on best practices. Manage and improve data infrastructure needed to drive data-driven decision-making solutions. Help develop front end applications to expose analytical data sets enterprise wide Work with the Product and Corporate Engineering system teams to structure source systems for reporting consumption across the enterprise. How to be successful in this role: Have at least four years of experience working with data and two years of experience in Software Engineering or a related field. Have experience with common analytics tooling (e.g. dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma). Bring a system-oriented and software engineering mindset to the Analytics Engineering practice. We’re looking to build frameworks that manage data, and minimize bespoke queries. Deep knowledge of crafting dimensional and fact models in modern data fashion. Have a passion for enabling the developer experience of data, and being obsessed with giving

Senior Product Engineer Engineering Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role We’re looking for impact-focused Software Generalists to join our specialized team focused on serving frontier model creators and enterprise AI application developers. As a full-stack engineer, you will work across Prolific’s domains to solve customer and product problems. This is an exciting opportunity to work directly with frontier AI companies, making critical technical decisions that balance scrappy startup execution with scalable, reliable engineering, as Prolific revolutionizes research for the AI community. You'll will have regular in person collaboration with customers and our US team, as well as collaborate closely with our UK-based tech teams. This role is hybrid based out of our New York office, approx 1-2 days a week. What you’ll bring to the role Over 4 years of experience in a product engineering role Can translate business concepts into software models Ability to quickly learn and adapt across the breadth of Prolific’s domains Familiar working in both monoliths and distributed systems Strong communication and collaboration skills for direct customer interaction Good understanding of modern web applications and architecture design patterns Experience supporting applications in production environments Judgment to balance scrappy startup execution with scalable, reliable engineering Comfort with rapid iteration and responding to customer queries with urgency Experience with some of our technology stack: Python (we use Django & Fast API) TypeScript and JavaScript (we use Vue.js) SQL and NoSQL databases (we use MongoDB and PostgresSQL) Building an

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Software Engineer Intern, you’ll work on a unique, high-impact project that directly influences the next generation of data storage and cloud technology. You will own all critical pieces from concept to delivery, collaborating closely with experienced mentors and cross-functional teams to tackle complex challenges. This is your chance to gain essential, real-world development experience and leave a tangible mark on a product used by thousands of global customers. WHAT YOU'LL DO Take ownership of your assigned project's complete development cycle, including requirements gathering, technical design, implementation, and rigorous testing, while regularly reporting progress to your dedicated mentor and team Architect and implement new features, optimizations, or infrastructure tools for Everpure’s core platform, resulting in measurable improvements to product performance, stability, or operational efficiency Write comprehensive unit and integration tests to validate the functionality of your solutions, ensuring zero regressions and maintaining a high standard of product reliability Actively participate in design discussions and code reviews with senior engineers to refine your architectural skills and ensure all code adheres to world-class engineering standards and best practices We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with

Senior Product Engineer II Team: Engineering Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role As a Senior Product Engineer II you will be the senior technical contributor for your team, partnering with the Engineering Manager to set technical direction and ensure delivery excellence. You will balance hands-on contribution with technical leadership, serving as the go-to person for technical decisions and architecture within your team's domain. You are increasingly outward-facing, representing your team's technical work beyond its boundaries. What you’ll be doing in the role Define Technical Direction: Partner with the EM to shape the team’s technical roadmap, strategy, and architectural direction. Drive Engineering Excellence: Own code quality, testing, reliability, performance, and engineering standards across the team. Lead Technical Discovery: Guide technical planning, discovery, solution design, and decision-making, balancing short- and long-term needs. Collaborate and Influence: Facilitate cross-team technical collaboration, contribute to engineering-wide initiatives, and act as a technical liaison. Grow the Team: Actively mentor and develop engineers at any level, within and beyond the team. What you'll bring to this role Technical Leadership: Proven experience leading technical direction, making architectural decisions, and solving complex engineering problems. Engineering Expertise: Deep expertise in software engineering, architecture, testing, reliability, performance, and maintainable system design. Product Mindset: Ability to connect technical decisions to customer and business outcomes while balancing del

Become a part of our caring community The Principal Storage Engineer is a senior technical leader responsible for defining and advancing the enterprise storage architecture and long-term data infrastructure strategy. This role establishes standards, develops five-year technology roadmaps, and designs secure, resilient, scalable, and cost-effective storage platforms for business-critical, analytics, and artificial intelligence workloads. The engineer serves as the organization’s storage subject-matter expert and partners with infrastructure, cloud, security, data, application, architecture, finance, and vendor teams to translate business requirements into sustainable technology capabilities. The Principal Storage Engineer is a senior technical leader responsible for defining and advancing the enterprise storage architecture and long-term data infrastructure strategy. This role establishes standards, develops five-year technology roadmaps, and designs secure, resilient, scalable, and cost-effective storage platforms for business-critical, analytics, and artificial intelligence workloads. The engineer serves as the organization’s storage subject-matter expert and partners with infrastructure, cloud, security, data, application, architecture, finance, and vendor teams to translate business requirements into sustainable technology capabilities. Key Responsibilities Define the enterprise storage vision, reference architecture, engineering standards, and five-year roadmap across block, file, object, software-defined, and hybrid storage services. Lead architecture decisions for on-premises AI infrastructure, including high-throughput and low-latency storage fo

Enterprise Advanced is a distributed team across Europe and India that builds the software running MongoDB on any infrastructure, at global scale — from on-prem data centers to private cloud. You'll work primarily on Ops Manager and Automation, the systems that let customers deploy fault-tolerant, globally distributed MongoDB clusters in minutes. Our software manages some of the largest self-managed MongoDB deployments in the world, with production clusters running hundreds of shards and nodes under a single deployment. The main focus of this team is to adapt our software to manage MongoDB clusters which are deployed in data centers or private cloud platforms. You will work on the core functionality for all of our products, mainly on the Ops Manager , and Automation products. Our team's end users are some of the largest businesses in the world, deploying massive clusters and processing huge amounts of data. This role is based in our Gurgaon office, and can work in a hybrid fashion. This role will report to the Senior Engineering Manager also based in our Gurgaon office. What you’ll do Design, implement, test, and release features for Ops Manager Own end-to-end delivery of complex projects, from design through incremental shipping Troubleshoot and resolve issues surfaced in customer deployments running at scale Apply engineering judgment and MongoDB's core values across planning, design, and code review A great fit for this role will be You enjoy distributed-systems problems; consistency, fault tolerance, and scale are the daily reality, not edge cases People who like ambiguity and are comfortable defining their own approach with guidance, not step-by-step instruction You're flexible! You're willing to take on a wide variety of responsibilities, learning as you go You're a self-starter! You're comfortable organizing your own time, acting on feedback and prioritizing with guidance from senior members of your team Requirements 4+ years experience with a language

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Role Affirm is building its own bank — and this role is one of the most senior individual-contributor seats on the engineering team that runs it. We're looking for a Staff Software Engineer to be a technical anchor for a deliberately small, AI-native team that owns the systems behind Affirm's bank: vendor-integrated banking infrastructure, the data platform, and the operational tooling that holds it all together. You'll set technical direction across that surface area, own the hardest problems on the team — including the Bank ↔ Affirm Inc integration boundary — and operate with direct exposure to senior bank and Affirm leadership. This is a rare opportunity to shape a new business from its very first systems — a startup-like build inside an established company — at a level of ownership that goes beyond delivering your own projects. As a Staff engineer here you set the bar: the architecture, the standards, and the technical strategy that the rest of the team builds against. The team is small and AI-native, the surface area is broad, and the decisions you make carry far — every system you ship serves real customers under a real bank charter, and the patterns you establish determine what the bank becomes. What You'll Do Set technical direction across the bank's systems. Own the medium-to-long-term technical strategy for the bank's core surfaces — cloud infrastructure, data platform, core banking configuration, CI/CD, networking, and the Bank ↔ Affirm Inc integration — and make the architecture calls the rest of the team builds against. Generalist breadth is expected; you go deep where the risk is highest. Own the hardest problems end-to-end. Personally design, build, integrate, and operate the most ambiguous and highest-stakes pieces of the stack, and own incident response for them.

Job Title: Principal Software Engineer Location: South San Francisco, CA preferred; Remote optional Job Type: Full-time About the Role We're seeking a Principal Software Engineer to join Natera's R&D team. We build the cloud infrastructure, workflow platforms, and data platforms that R&D uses to do its science - including a Kubernetes-based workflow execution platform, a custom R&D LIMS system, and a set of supporting tools that routinely handle production-scale workloads. This is a senior technical role. You'll own the full architecture, implementation, and delivery of large projects across our platform. You'll partner with the team lead on roadmap and tough technical calls, mentor mid-level engineers, and help the team find the right solution for the problem - not the most elaborate one. We're a small team (4 engineers + lead) with broad scope, and we're heavily AI-augmented: every engineer uses Claude Code / Cursor as a daily tool, and we build our own AI tooling (custom plugins, MCP servers, agents) to multiply ourselves. Responsibilities Architecture & Delivery: Own the design, implementation, and delivery of major initiatives across our platform. Take fuzzy problems through to shipped, working software used in production. Technical Leadership: Lead architecture and design reviews. Help the team find the right solution for the problem and avoid unnecessary complexity. Influence technical decisions across the team. Mentorship: Mentor mid-level engineers through code review, design docs, and pairing. Raise the engineering bar by example. AI-Native Development: Build and improve our AI-coding tooling alongside the rest of the team. Help us push the frontier of agent-driven software development inside the company. Cross-Functional Partnership: Work with bioinformaticians, scientists, and other R&D engineers to understand their needs and translate them into platform capabilities. Partner with the team lead on roadmap, prioritization, and tough te

About the Role DoorDash is building the world's most reliable on-demand, logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We’re looking for Senior iOS Engineers who want to work on building an app that’s used by millions of people and critical to local entrepreneurs building their online presence. We’ve seen significant growth in our codebase and number of developers and we’d love for you to bring a piece of your culture and experiences into ours so that we can continue to improve our processes and architecture. Whether you’re an engineer interested in scaling our mobile infrastructure or building awesome product features, we’d love to talk to you! This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will… Work within our engineering 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… 5+ years of industry experience B.S., M.S., or PhD. in Computer Science or equivalent 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 The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more