Software Engineer Data Infrastructure Jobs

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team In this role, you will be joining the High Availability and Disaster Recovery team. At Stripe, availability is a core feature of our products. This team designs and builds new solutions to allow latency-critical, stateful applications to survive any type of disaster. We build distributed systems on top of unreliable architecture to provide highly available and resilient customer solutions. This team is creating greenfield solutions which will serve as the basis for Stripe’s architecture 5, 10, or 20 years into the future. This is a distributed team with many remote engineers. You are encouraged to apply if you meet the minimum requirements and are able to work from anywhere in the United States or Canada. What you’ll do You will help develop our global architecture by combining less-available components and data centers into a highly available and resilient whole. You will work on latency-critical solutions where every millisecond matters and data redundancy is a hard requirement. You will learn quickly and work on a broad range of problems - one day may be investigating Mongo write concerns, the next may be minimizing cross-region TLS handshakes, followed by developing new systems to automate disaster detection and failovers. Your work will enable Stripe to increase the GDP of the internet by providing uptime and data protection which have historically been impossible. Responsibilities Actively work with leaders and engineers across the com

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 Drive the technical resolution and stability of Everpure's highest-stakes cloud storage deployments for top-tier hyperscale partners. As a Senior Software Engineer on the Hyperscale Product Escalations team (known internally as a Forensics Engineer), you will serve as the technical bridge between field telemetry and core engineering, diagnosing high-complexity distributed systems failures and creating automation that anticipates issues before they impact customer workloads. You will directly influence customer trust, enable multi-million dollar account success, and help architect the future of hyperscale storage solutions built for AI-driven infrastructure. WHAT YOU'LL DO Lead Root-Cause Investigations: Analyze complex system behavior, memory dumps, field telemetry, and low-level code across platform, firmware, and software layers to isolate and resolve critical failures in large-scale distributed systems. Build System Health Automation: Design and deploy automated diagnostics, predictive health-monitoring services, and AI-assisted workflow tools that reduce manual triage time and prevent recurring failure patterns across growing global fleets. Direct Hyperscaler Engineering Collaboration: Partner directly with technical teams at hyperscale customer organizations to solve deep integration challenges, ensuring platform reliability and unlocking major expansion opportunities. Engineer Fleet-Wide Reliability Improvem

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. About the role: Foundation AI builds the platforms, services, and infrastructure that enable machine learning and generative AI across Roblox. In this role, you’ll work across areas such as model training and inference, LLM services, Agent infrastructure, data systems, experimentation, evaluation, and developer tooling while learning how to build reliable systems at scale. You’ll design, code, test, launch, and operate production features, partnering with teams across product, research, data, infrastructure, safety, creator, engine, discovery, and economy. You will report to an Engineering Manager within Foundation AI organization. You will: Build platforms and services that power machine learning, generative AI and agentic platform and product experiences across Roblox. Explore emerging technologies, including ML frameworks, LLMs, agentic systems, distributed systems, and GPU infrastructure. Improve the speed, reliability, observability, and cost efficiency of AI development Contribute to systems operating at Roblox scale while balancing quality, latency, reliability, and responsible data use. You have: You have an undergraduate/graduate degree in computer science or equivalent experience

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 part of the Core Products Business Unit (CPBU) Systems Software team, you will join a high-leverage engineering initiative dedicated to transforming upgrade workflows and lifecycle operations. Our goal is to shift hardware upgrades from manual, support-intensive workflows toward a safer, guided, automated self-service experience integrated directly into Pure1 and Skyline. In this role as a Systems Software Engineer (MTS3), located on-site in Santa Clara, CA, you will build dedicated systems infrastructure and controller-upgrade automation for our next-generation upgrade framework. You will bridge on-array software execution with cloud-guided operations, eliminating manual choreography and runbooks while maintaining uncompromising standards for safety and availability. What You'll Do Design & Build Upgrade Infrastructure: Architect, implement, and maintain high-reliability systems software components for controller-upgrade automation and the next-generation hardware upgrade framework. Automate Upgrade Workflows: Transition complex hardware replacement and upgrade tasks into repeatable, self-service workflows, significantly reducing support and field dependencies. Engineered Safety & Resilience: Build robust state machines, health checks, workflow orchestration, pre/post-upgrade validations, failure-handling mechanisms, and automated recovery paths. Cross-Functional Collaboration: Partner closely with int

RDQ427R70 Our mission at Databricks is to radically simplify the data lifecycle with a unified Lakehouse platform for data engineering, analytics, and AI. The Lakehouse addresses major challenges in enterprise data platforms, including reliability, data staleness, operational complexity, total cost of ownership, and data lock-in. Learn more about the Lakehouse architecture. Lakeflow is a critical part of this vision, helping customers build and operate streaming and batch ETL pipelines that power business-critical data products. As these workloads become increasingly mission-critical, customers need them to continue operating through infrastructure failures and cloud-region outages. As a Staff Engineer on the part of the Lakeflow Disaster Recovery team, you will design and implement distributed systems that replicate and recover pipelines across regions. A pipeline is more than source code and output tables: it includes streaming checkpoints, source offsets, stateful operator state, table versions, transaction metadata, schedules, and dependencies across a dataflow graph. You will solve challenging problems involving consistency, idempotency, causal ordering, failover, failback, and safe recovery without silent data loss or duplication. You will work in one or more of the following areas: Cross-region replication and recovery for Lakeflow pipelines, streaming tables, and materialized views Distributed consistency across pipeline dependencies, table versions, and transaction logs Failover and failback workflows with conservative correctness guardrails Deep clone, metadata reconciliation, observability, and failure-injection testing High-fidelity recovery simulations, game-day testing, and formal reasoning about failure modes What we look for: A passion for distributed systems, databases, storage systems, streaming systems, or reliability engineering Strong software engineering skills in Java, Scala, C++, Go, Python, or a similar production language Understandin

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 Join our agile team to shape and deliver the industry’s premier enterprise Retrieval-Augmented Generation (RAG) platform from the ground up. You will own end-to-end full-stack feature development at the intersection of Data and AI, partnering directly with NVIDIA engineering teams to integrate cutting-edge AI technologies. Operating with a high-impact startup mindset, you will drive scalable architectural solutions that empower enterprise customers with seamless, highly performant data retrieval. WHAT YOU'LL DO Architect & Scale Enterprise RAG Infrastructure : Design, build, and optimize robust full-stack features using Go and Python, ensuring enterprise clients retrieve, process, and query complex data with ultra-low latency. Pioneer Cutting-Edge GenAI Integration : Collaborate directly with NVIDIA engineering teams to integrate state-of-the-art AI tooling and model acceleration libraries, expanding platform capabilities across the evolving GenAI ecosystem. Drive End-to-End Product Ownership : Lead features from concept to production deployment—developing intuitive frontend interfaces and resilient backend microservices—to turn complex product requirements into seamless enterprise capabilities. Elevate System Performance & Quality : Establish technical standards, automated testing pipelines, and performance benchmarks to ensure high availability, security, and enterprise-grade reliability across the entir

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 Join our Fusion product team and help redefine how enterprises use storage. Pure Fusion is an industry-first autonomous storage delivery platform that brings cloud-like agility to enterprise environments by unifying fleets of Pure arrays into a consistent, policy-driven experience. Through a single, integrated control plane, customers can provision and manage storage across their environment - reducing manual complexity, improving consistency, and freeing teams to focus on innovation. As part of the team, you’ll build the distributed systems, APIs, automation, and intelligent services that make this experience possible. You’ll help turn storage into an on-demand, self-service resource that is easier to deploy, scale, and manage across FlashArray, FlashBlade, and Pure Storage Cloud. This is an opportunity to solve challenging problems at the intersection of cloud infrastructure, data, and automation. And to shape a platform that is changing how modern businesses manage data. WHAT YOU'LL DO Develop resilient distributed control systems that support reliable service delivery at scale. Create and maintain API libraries that enable consistent integration across the platform. Design and build declarative, intent-based policy management engines. Implement scalable transactional processing for complex, distributed environments. Integrate platform capabilities with products such as FlashArray, FlashBlade, and Pure1. Collab

Software Engineer - III About the Role GHX is building a next-generation Intelligent Process Automation (IPA) platform powered by LLMs and AI-native document understanding. We extract structured data from complex healthcare procurement documents — Purchase Orders, invoices, contracts — at scale across cloud environments. As a member of the IPA engineering team, you will bridge strong software engineering with applied AI. You will design and ship Python services, integrate LLM APIs, build AI agents, create skills and validate the output of LLMs to build document extraction pipelines, and own evaluation infrastructure that ensures production quality. This is not a research role — it is a hands-on engineering role where AI fluency amplifies solid software craft. Core Responsibilities Python Development & Automation Build and maintain Python-based automation services and IPA workflows Develop platform-agnostic solutions supporting future migration across automation tooling Build reusable libraries, frameworks, and components for automation projects Integrate automation solutions with REST APIs and enterprise applications Deploy and monitor automation bots on AWS (Lambda, ECS, SQS, S3) AI & LLM Integration Integrate LLM APIs (like Anthropic Claude, OpenAI, Azure AI) into production pipelines Design classification and extraction prompts for diverse document types (POs, invoices, contracts) Write prompts that function as formal specifications — unambiguous, edge-case-aware Build and iterate few-shot, chain-of-thought, and structured output templates Own prompt library versioning, rollback strategy, and prompt lifecycle management AI & LLM Integration Integrate LLM APIs (like Anthropic Claude, OpenAI, Azure AI) into production pipelines Design classification and extraction prompts f

About the Team The Privacy Engineering team builds the systems and technical foundations that govern how user data is understood, retained, accessed, and used across OpenAI. We partner with Product, Data, Infrastructure, Security, and Legal to translate policy and trust commitments into durable architecture and enforceable controls. Our work spans data inventory and mapping, classification and lineage, retention and deletion, access governance, purpose and usage controls, auditability, and lifecycle automation. We aim to make policy-aligned data handling the default while giving teams clear, reliable primitives for building and operating products at scale. About the Role We are looking for an experienced Software Engineer to drive the architecture and execution of user data governance across OpenAI. You will define technical direction, build shared platforms and controls, and lead cross-functional programs that make data flows discoverable, policies enforceable, and ownership explicit. This role is well suited to a senior engineer who can move between deep systems design and organization-wide influence, turn ambiguous requirements into pragmatic roadmaps, and operate high-trust systems end to end. This position is based in San Francisco. Relocation assistance is available. In this role, you will: Set the technical strategy and architecture for user data governance across data mapping, classification, lineage, retention, deletion, access, and permitted usage. Design and build shared services, APIs, metadata systems, and policy-enforcement mechanisms that make governance controls consistent, scalable, and auditable. Establish reliable inventories of user data, system ownership, data flows, and policy applicability across products, infrastructure, analytics, and research systems. Partner with Product, Data, Infrastructure, Security, and Legal leaders to define decision rights, translate requirements into controls, and drive adoption across teams. Own governance systems

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are currently seeking a Staff Software Engineer to join the Calculation Engines team which operates the critical servers, caching layers, and communication protocols which power Addepar’s financial analytics and reporting product. More than 95% of all Addepar traffic flows through this infrastructure; you will be responsible for the next generation of development, tooling, and CI/CD systems which empower Addepar to serve our clients. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Design and build distributed microservice components in Addepar’s calculation engine - a data intensive application Scale our Java-based calculation engine to 100x larger workloads using best-of-breed time series analytics database technologies Get involved in the decision process to make the best decision to scale with the consideration of data consistency, throughput, speed, operability and cost Profile and improve system efficiency in a highly concurrent platform Who You Are 7+ years of software en

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! Lead Software Engineer - Storage As a key contributing member of the storage development team, you will be responsible for enhancing the highly scalable and performant storage engines used by both Couchbase Server and Couchbase Capella. You will be developing a highly-available and concurrent enterprise-grade system software. Most of all, you will be able to celebrate the wins by experiencing the direct result of your hard work from our customers’ success stories. The ideal candidate will have a strong technical background, excellent communication skills, and proactive problem-solving skills. The innovative work storage team does has been widely recognized by the industry. The following publications in VLDB conferences reflect the storage work at Couchbase Nitro: A Fast, Scalable In-Memory Storage Engine for NoS

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Substrate is the team responsible for Palantir’s core production infrastructure — 100s of K8s clusters — from on-prem to the major cloud hyperscalers, whether they are internet-connected or air-gapped, small hardware footprint or large. As a Senior Software Engineer on Substrate, you will design and build Palantir’s managed Kubernetes product offerings across all these environments. You and your team will be responsible for bootstrapping and operating the entire fleet of K8s clusters with zero manual steps by building industry leading tooling and contributing to core CNCF components. You will also be responsible for ensuring scale, stability and security across a matrix of compliance regimes and hosting infrastructure types. Your team culture emphasizes engineering rigor and operational excellence at scale. This means issues in production should be pre-empted and deeply root-caused, and investments in automation and self-healing systems are key. If you’re excited about infrastructure at scale and working with Kubernetes, this is the right role for you. Core Responsibilities Deliver a container runtime to challenging new environment types - new clouds, on premise, edge devices Build automation and establish standards for operating K8s securely at scale with zero manual ops overhead Drive innovation through adoption of novel K8s features and CNCF tools, making upstream contributions as needed Design the next generation of Palantir’s infrastructure through a deep understanding of internal systems and CNCF standards What We Value Systems programming experience with strong proficiency in golang, C/C++ or equivalent</

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Substrate is the team responsible for Palantir’s core production infrastructure — 100s of K8s clusters — from on-prem to the major cloud hyperscalers, whether they are internet-connected or air-gapped, small hardware footprint or large. As a Senior Software Engineer on Substrate, you will design and build Palantir’s managed Kubernetes product offerings across all these environments. You and your team will be responsible for bootstrapping and operating the entire fleet of K8s clusters with zero manual steps by building industry leading tooling and contributing to core CNCF components. You will also be responsible for ensuring scale, stability and security across a matrix of compliance regimes and hosting infrastructure types. Your team culture emphasizes engineering rigor and operational excellence at scale. This means issues in production should be pre-empted and deeply root-caused, and investments in automation and self-healing systems are key. If you’re excited about infrastructure at scale and working with Kubernetes, this is the right role for you. Core Responsibilities Deliver a container runtime to challenging new environment types - new clouds, on premise, edge devices Build automation and establish standards for operating K8s securely at scale with zero manual ops overhead Drive innovation through adoption of novel K8s features and CNCF tools, making upstream contributions as needed Design the next generation of Palantir’s infrastructure through a deep understanding of internal systems and CNCF standards What We Value Systems programming experience with strong proficiency in golang, C/C++ or equivalent</

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Substrate is the team responsible for Palantir’s core production infrastructure — 100s of K8s clusters — from on-prem to the major cloud hyperscalers, whether they are internet-connected or air-gapped, small hardware footprint or large. As a Senior Software Engineer on Substrate, you will design and build Palantir’s managed Kubernetes product offerings across all these environments. You and your team will be responsible for bootstrapping and operating the entire fleet of K8s clusters with zero manual steps by building industry leading tooling and contributing to core CNCF components. You will also be responsible for ensuring scale, stability and security across a matrix of compliance regimes and hosting infrastructure types. Your team culture emphasizes engineering rigor and operational excellence at scale. This means issues in production should be pre-empted and deeply root-caused, and investments in automation and self-healing systems are key. If you’re excited about infrastructure at scale and working with Kubernetes, this is the right role for you. Core Responsibilities Deliver a container runtime to challenging new environment types - new clouds, on premise, edge devices Build automation and establish standards for operating K8s securely at scale with zero manual ops overhead Drive innovation through adoption of novel K8s features and CNCF tools, making upstream contributions as needed Design the next generation of Palantir’s infrastructure through a deep understanding of internal systems and CNCF standards What We Value Systems programming experience with strong proficiency in golang, C/C++ or equivalent</

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Substrate is the team responsible for Palantir’s core production infrastructure — 100s of K8s clusters — from on-prem to the major cloud hyperscalers, whether they are internet-connected or air-gapped, small hardware footprint or large. As a Senior Software Engineer on Substrate, you will design and build Palantir’s managed Kubernetes product offerings across all these environments. You and your team will be responsible for bootstrapping and operating the entire fleet of K8s clusters with zero manual steps by building industry leading tooling and contributing to core CNCF components. You will also be responsible for ensuring scale, stability and security across a matrix of compliance regimes and hosting infrastructure types. Your team culture emphasizes engineering rigor and operational excellence at scale. This means issues in production should be pre-empted and deeply root-caused, and investments in automation and self-healing systems are key. If you’re excited about infrastructure at scale and working with Kubernetes, this is the right role for you. Core Responsibilities Deliver a container runtime to challenging new environment types - new clouds, on premise, edge devices Build automation and establish standards for operating K8s securely at scale with zero manual ops overhead Drive innovation through adoption of novel K8s features and CNCF tools, making upstream contributions as needed Design the next generation of Palantir’s infrastructure through a deep understanding of internal systems and CNCF standards What We Value Systems programming experience with strong proficiency in golang, C/C++ or equivalent</