Senior Staff Engineer Data Platform Experience Jobs

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Liquidity Platform provides cutting-edge technology that covers all aspects of crypto trading. We build low-latency connectivity to global crypto venues, including both Cefi and Defi venues, strategy services for automated pricing and trading bots, high-frequency data capturing and analysis, and state-of-art micro frontend for trading management. On top of all these infrastructures, we build highly customized strategies to facilitate crypto liquidities. If you are a strong technologist who is excited about the potentials of crypto trading, interested in fully-automated algo bots, we should talk. We are looking for a Java Software Engineer for Liquidity Platform Structured Product Engineering Team. During your tenure with us, you will be working closely with a liquidity manager for strategy development using an in-house build strategy toolkit. You will demonstrate and develop professional capabilities in the following areas: managing inventory & risk of applications, strategic thinking and problem solving, collaborating with product managers, engineers and liquidity managers

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . About the Role: We are seeking a Senior Staff Machine Learning Engineer to define and accelerate how we leverage agentic AI to transform machine learning models and modeling workflows. This high-impact role focuses directly on modeling leverage —enhancing model quality and velocity—rather than building general infrastructure. As a senior staff engineer, you will operate as a technical leader across the entire modeling loop, utilizing modern AI-assisted development systems (such as Claude, Cursor, and comparable tools) to make model development faster, more rigorous, and significantly more effective across the organization. Why Join Us? This role offers a domain-flexible platform to redefine how ML engineering is done. If you are passionate about combining deep ML fundamentals with the vanguard of agentic AI to multiply team impact, we’d love to talk to you. What you’ll do: Develop advanced ML models and the agentic workflows that help teams design, train, evaluate, and improve them. Use tools such as Claude, Cursor, and comparable AI-assisted development systems to investigate model behavior, generate and test hypotheses, automate repetitive analysis, and improve code and experiments. Build reliable loops for data and label analysis, feature and embedding development, architecture comparison, hyperparameter optimization, error analysis, and experiment readouts. Design evaluation harnesses that measure both model outcomes and agent/workflow quality, including correctness, reproducibility, regressions, cost, a

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. About the General Agents Team The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. About the Role As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases. Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints. Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings. Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs. Productionize frontier agent techniques (e.g.,

The AI organization at Asana builds the platform and products that bring AI into how the world's teams work. That includes AI Teammates that take on work alongside people, the orchestration layer that lets agents plan and act across the Work Graph, and the AI platform that every AI feature at Asana runs on. The platform covers model access, retrieval, context, evaluation, and production quality. We are looking for a Senior Staff Software Engineer to set technical direction across this organization. You will lead the hardest cross-team problems in AI at Asana, make architectural calls that hold up as models and the industry shift underneath us, and help senior leadership shape where AI takes the product next. The scope spans multiple engineering teams across San Francisco, New York, Vancouver, and Warsaw. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Define the technical vision and architecture for Asana's AI Org that includes AI platform, Agent systems and Studio in partnership with engineering and product leadership Partner with Product, Design, Data Science, Security, and Legal to take ambitious AI products from prototype to reliable, trusted enterprise features Lead strategic initiatives that span multiple teams, such as agent runtime and orchestration, context and memory for agents grounded in the Work Graph, and reliable, cost-efficient LLM inference at enterprise scale Set the bar for how Asana measures AI quality, including offline and online evaluation, production monitoring, and the feedback loops that turn real usage into better agents Make and guide high-stakes technical d

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Senior Staff Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineering & Optimization Create sophisticate

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . The Role & The Team: We are looking for a talented, motivated, and quality-focused Senior Test Automation Engineer to design testing procedures for our software applications. The candidate will be responsible for analyzing the functionality of applications and designing automated tests to validate their stability and performance. They will have a technical background, a strong analytical thinker, and a proven ability to analyze complex solutions and define the appropriate test strategy. They will be a determined individual, who is confident to probe and question, and work with Developers and Product Owners to understand requirements and develop and maintain automated and manual tests. They will be responsible for active issue management in coordination within the team, communicating the cause, effect, and impact of those issues to the team, who can then prioritize appropriately. You will be responsible for coding, testing, and maintaining software systems, while mentoring and building the test capabilities of the agile teams. Reporting to the Director of Engineering, the candidate will recognize areas

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Staff Software Development Engineer reporting to the Director, Software Engineering to join our Client Connector Team. As a Senior Staff Engineer, you'll own critical service-layer components such as RPC, user session handling, data pipelines and help make CCA(Client Connector Agent) more stable, performant and maintainable. What you’ll do (Role Expectations) Design and implement features across the CCA service, user-mode UI, and supporting subsystems (RPC server, session handler, data handler, tunnel telemetry). Diagnose and fix complex production issues: service crashes, race conditions, lifetime bugs, and cross-process synchronization problems. Improve reliability of long-running Windows service code, including cleanup/shutdown paths and inter-process communication. Work on VDI-specific flows (e.g., ZCC VDI SMB tunnel traffic accounting, session lifecycle). Review peers' code, raise the q

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook Profile – Senior Staff Software Engineer Druva delivers Data Protection and Management for the cloud era. Druva Cloud Platform is built on AWS and offered as-a-Service; customers drive down costs by up to 50 percent by freeing themselves from the burden of unnecessary hardware, capacity planning, and software management. Druva is trusted worldwide by over 4,000 companies at the forefront of embracing the cloud. Druva is a privately held company headquartered in Sunnyvale, California, and is funded by Sequoia Capital, Viking Global Investors, Tenaya Capital, Riverwood Capital, and Nexus Partners. Please do visit us at: https://www.linkedin.com/company/druva/mycompany/ https://www.druva.com/about/ https://www.druva.com/blog/ The Data team within Foundation processes data at scale. It builds and operates tools that scan petabytes of data to extract insights. The team builds indices and views for semi-structured data to facilitate analytics, using both in-house and off-the-shelf tools. . The team diligently keeps track of newer services, storage tiers, and various aspects of existing AWS services to take

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is where 130M+ people a day come to share what they know, ask what they don't, and find their people. Every post, comment, and new format starts with our composers. We're looking for a Senior Staff engineer to be the technical anchor for how people create on Reddit across Web, iOS, and Android. You'll own the cross-client vision for contribution. That means one shared content model and set of client contracts that all three platforms build against, the performance and reliability engines underneath, and the creation surfaces on top. Our modernized composers are now live on every platform, so the next chapter is growth: making video a first-class way to create, bringing new formats to every user, and using AI to inspire contribution without writing it for people. Every bet has to earn its way through an experiment, so you'll pair architectural judgment with real rigor about what moves the metrics. This is an IC leadership role, partnering directly with Product, Design, and Data Science leadership. Key Responsibilities: Own the cross-client architecture: Define the shared contracts that Web, iOS, and Android build against, including our rich content model, GraphQL schemas, and shared UI primitives. A feature should be designed once and shipped natively everywhere, not built three bespoke ways. Make video and media first-class: Set the client architecture for video creation, editing, drafts, and upload, built to survive bad networks, app restarts, and lower-end devices. Bring new formats to every user: Establish how

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa About OKX At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Team The DEX Token Markets team at OKX Web3 builds real-time market tracking and analysis tools across 40+ chains and hundreds of thousands of trading pairs — charts, trade feeds, watchlists, alerts, and screeners trusted by millions of traders navigating DeFi, including the fast-moving meme coin markets driving much of today's on-chain volume. What You'll Be Doing Build and maintain the market tracking platform, including systems tuned for meme coin-style volume spikes and liquidity swings. Develop high-throughput, low-latency backend systems that keep data accurate and reliable under bursty load. Troubleshoot issues to ensure service stability and quality. Ship features on time with clean, well-tested, maintainable code. Collaborate with product and engineering to keep integrations running smoothly. What We Look For In You Bachelor's/Master's in CS, Software Engineering, or related (or strong STEM background). 3-5+ years building high-

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission We are looking for a Principal/ Senior Staff Engineer, Experimentation Platform to elevate the systems that power trusted decision-making at Zocdoc. In this high-impact role, you will define platform standards, lead complex cross-domain initiatives, and shape the future of our analytics and data infrastructure. Your work will ensure our data ecosystem is secure, reliable, compliant, performant, and cost-efficient—enabling teams across Product, Engineering, Operations, and Leadership to move confidently with trusted insights. This is a senior individual contributor role open to remote candidates across the United States. You’ll enjoy this role if you are… Motivated by designing scalable data platforms that serve hundreds of stakeholders. Passionate about building clean, governed, and secure data systems. Known for improving reliability, performance, and cost efficiency. Comfortable operating as a technical authority without formal management. Energized by raising standards across analytics, infrastructure, and governance. Interested in

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.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities Data Pipeline Engineering: Build scalable ingestion pipelines for structured, semi-structured, and engineering data sources. Workflow Orchestration: Develop reliable batch, scheduled, and event-driven workflows using Apache Airflow and cloud-native services. ETL / ELT Frameworks: Implement reusable pipeline patterns, transformations, incremental ingestion, and data quality checks. Schema Management: Implement schema registry, schema versioning, schema evolution, and compatibility controls. Delta Detection: Build change detection and incremental refresh mechanisms for efficient large-scale data synchronization. Entity Extraction: Extract and normalize key identifiers such as Lot, Die, Wafer, Test, Flow, Product, and Step. Cloud Landing Zones: Set up secure AWS, GCP, and on-prem landing targets for validation and analytics pipelines. <

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Team Snorkel's Platform organization owns the infrastructure and services that power everything at Snorkel — the pipelines, evals, access layers, event systems, governance, compute, and agent infrastructure that every product team and customer deployment depends on. We're a small team with a large surface area, and we're in the middle of a foundational architecture shift: moving from a single-database data path to a multi-source, event-driven agent first platform. The decisions being made now will define how our platform scales for years. You will be making them. About the Role We're looking for Platform Engineers who combine strong infrastructure chops with real backend engineering depth. You'll build and operate the systems, services, and agent infrastructure that let product teams move fast and reliably — from data access layers and event-driven pipelines to the agent first architecture that will transform our ability to scale. Your work will directly allow us to scale the amount of high quality data we are able to deliver to our customers. We are looking to grow our team of Platform Engineers, and are hiring at multiple levels. What You'll Do Design and build agent infrastructure that allows us to safely and reliably speed up workflows from engineering and operation teams Design and implement event-driven data flows using event brokers, CDC connectors, schema registries, event routing, and dead letter queues — ensuring events flow reliably

We're building the platform that lets long-running autonomous agents operate safely inside NVIDIA's enterprise. These are not assistants on a developer's laptop. They are fleets of agents deployed in the cloud, running continuously at scale on shared accelerated compute. They take on real work across enterprise systems, so people get far more done than they could before. This role defines the constructs that agents are built from: the blueprints they start from, the tools, skills, and plugins that power them against enterprise data, the runtime safety harness that keeps them in bounds, and the connections into credential management, sandbox, memory, and observability. The team designs and ships these building blocks so that agent developers across the company can stand up a new agent, wire it in, and run it for days or weeks. Security and safe execution come out of the box, not something each team has to get right on its own. Today an agent runs inside a single harness. Claude, Codex, and open-source agent harnesses each work differently underneath, with their own execution model, tool interface, and telemetry shape. The platform smooths over those differences, so a single skill, safety policy, or trace works the same no matter which harness is running. We want to enable agents that act on a person's behalf, governed and secure, continuously evaluated and self-improving. These agents coordinate and hand work off to each other, with identity and policy following every hop. They route and tune themselves across harnesses from live eval signals, and get better from their own production telemetry instead of waiting on a human to retrain them. Have you run agents on a harness like Claude or Codex and hit the walls that show up when they run for real, for days, against live systems — and wanted them to learn from it on their own? We're building the platform that solves those problems once, for every team. What you'll b