Staff Quality Engineer Jobs

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role As a Staff Credit Policy Analyst– Condominium, Co-op & Project Review Strategy for Home Loans, you will lead credit policy strategy, governance, and execution, with a primary focus on condominium and co-op project review strategy, including warrantable and non-warrantable condominium programs. This role will support SoFi’s broader residential lending platform across Conforming, Government, CES, Home Equity, Portfolio, Jumbo, Non-Agency, and other specialty products. You will develop and maintain policy frameworks governing condominium and co-op project eligibility, non-warrantable condominium lending, project-level risk assessment, documentation requirements, exceptions, investor compliance, and escalation practices. You will serve as a strategic partner to Credit Risk, Credit Operations, Capital Markets, Product, Operations, Legal, Compliance, and Technology. The role will translate complex credit, regulatory, investor, and market requirements into clear policy, effective controls, scalable processes, and executable business rules. What You’ll Do Credit Policy Leadership & Strategy Lead the development, governance, and continuous improvement of credit policies across SoFi’s home lending products. Own the strategy and policy framework for condominium and co-op project reviews, including war

At Breeze, we're building the AI-powered infrastructure layer for global commerce, making it radically simpler for businesses to sell, get paid, and operate across markets. We go far beyond traditional payment processing. Breeze combines global payments, AI, stablecoins, and a Merchant of Record-like model to take on the complexity businesses typically manage themselves, including compliance, risk, fraud, chargebacks, reconciliation, and customer support. Our goal is simple: let businesses focus on building and selling great products while Breeze handles the complexity behind getting paid. Backed by Sequoia Capital , Multicoin Capital , and The Chainsmokers , Breeze is a successful, rapidly growing, and exceptionally well-capitalized company. We have the runway to think long term while remaining early enough that every person joining today can have a meaningful impact on what we build. Overview We are hiring for Staff Frontend Engineer (Payments & Checkout) to own and shape one of the most important surfaces at Breeze: the moment a customer actually pays. You’ll lead the frontend architecture and evolution of our checkout experience, building payment flows that need to be fast, seamless, resilient, and built to convert. Your work will have a direct impact on customer experience and revenue, from reducing friction and improving performance to designing elegant experiences around complex payment states. This is a high-ownership role where frontend engineering meets product and growth. You’ll work closely with Product, Design, Growth, and Payments to dig into funnel data, experiment quickly, and turn insights into experiences that make paying through Breeze feel effortless. At the Staff level, you’ll also help set the technical direction for frontend engineering, raise the bar for architecture and performance, and mentor engineers as we scale. If you love obsessing over the details of great checkout experiences and want to build the payment experience that pow

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Backend Engineer at GitLab, you will help shape a major investment in our Software Supply Chain Security offering. In this role, you'll serve as a senior technical leader for backend systems that help customers secure how software is built, verified, and delivered inside the GitLab platform. You'll work on foundational capabilities across package policy enforcement, build provenance, artifact signing, and malicious package detection, with a strong focus on enterprise-grade security and performance. You'll define architecture before systems are built, write clear technical proposals, and guide i

The Opportunity This is a critical and exciting time at Enigma. Our customers consistently tell us that our data products create tremendous value and are deeply aligned with their most important workflows. As demand grows, we have an urgent opportunity to improve both the intelligence of our data and the systems through which customers access it. We are looking for an experienced Senior/Staff Machine Learning Engineer to join our Match Team and help shape the next generation of Enigma’s customer-facing data products. In this role, you will combine advanced statistical and machine learning research with the engineering systems required to power fast, relevant, and reliable search experiences at scale. This is a uniquely high-impact role sitting at the intersection of information retrieval, ranking systems, semantic search, distributed systems, and customer data delivery. The Role At the core of Enigma’s product is our data, which makes both data science and delivery systems central to what we build. As a Senior/Staff ML Engineer on the Match Team, you will lead efforts that improve the relevance, latency, and scalability of our customer-facing data products. You’ll work across the full lifecycle: framing retrieval and ranking problems, developing models and experimentation strategies, evaluating results using real-world signals, and implementing high-throughput search and retrieval systems. This role is ideal for someone who is excited by both hard ranking/search problems and the systems challenges of turning those solutions into low-latency, production-grade retrieval systems. What You'll Do Develop innovative solutions to complex problems in information retrieval, ranking, semantic search, query understanding, and recommendation systems Build and optimize low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems using Python, Typesense, and AWS Evaluate and evolve our search technology stack, driving technical design decisions across index

About Us: Future is building a personalized guidance system for lifelong health. We help people understand what to do next for their body, goals, and stage of life — then support them in turning those decisions into sustained behavior change. By combining AI, human expertise, personal health data, and accountability, Future helps members improve performance today while building the resilience, capacity, and healthspan they need for decades to come. ABOUT THE ROLE: We’re hiring a Staff Product Manager to own the core marketplace experience. We’re rethinking things from the ground up—you won’t be inheriting a roadmap, a backlog, or a set of conventions. You’ll be building the product from the ground up alongside the CPTO. This role requires someone who thinks in systems. A marketplace is not a single product—it’s an ecosystem. You’ll need to hold the consumer experience, the practitioner experience, the matching logic, the trust and safety layer, the business model, and the growth loops in your head simultaneously, and make smart tradeoffs between them every day. You will report directly to the CPTO and work alongside a small, senior engineering team. There are no layers between you and the work, and no layers between you and the decisions that shape the company. WHAT YOU’LL OWN: Product Strategy & Vision Define the product vision and strategy for the marketplace, grounded in deep user understanding, competitive analysis, and a clear-eyed view of the business model. Own the roadmap end-to-end. Decide what to build, what to kill, and what to sequence—with conviction, not consensus. Develop and maintain a strong point of view on where the wellness and longevity market is heading and how our product should evolve to lead, not follow. TRUE 0→1 product thinking: identify the fastest and cheapest ways to validate core assumptions before committing significant engineering investment. Marketplace Systems Thinking Design and optimize both sides of the marketplace: the cons

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Service Infra: we build and maintain the core infrastructure that powers Anthropic's engineering organization, from service mesh and observability systems to deployment pipelines and shared libraries. Our work enables product teams to build and operate reliable services at scale, making us a critical force multiplier across the entire company. Platform Portability: We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Backend Engineer on GitLab's Events & Messaging Platform team, you'll be a foundational technical leader on a high-visibility infrastructure initiative that sits underneath nearly everything GitLab ships. GitLab runs two separate systems for async work today — Sidekiq for short-lived background jobs and a purpose-built event bus for longer-running workflows. This role consolidates both into a single durable, scalable messaging and event-processing platform that powers GitLab's first-party products and underpins third-party integrations like webhooks and external triggers. You'll bridge arch

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Open to overseas candidates/Visa Support This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team , which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing , and personalized content recommendation , while ensuring system robustness and scalability in a dynamic market environment. What You’ll Work On Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes. Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization. Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions. Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning). What We’re Looking For Bachelor’s degree in Computer Science, Mathem

We are seeking a highly skilled Staff IT Product Manager for Internal AI to drive the strategy, delivery, and adoption of AI-powered solutions across our enterprise IT landscape. This role will be pivotal in shaping how AI transforms our internal operations, from service delivery and knowledge management to automation and decision support. The ideal candidate has a proven track record of managing enterprise-scale AI/ML products, collaborating across IT and business functions, and delivering measurable impact. We are looking to speak to candidates who are based in San Francisco, CA or Palo Alto, CA for our hybrid working model. Key Responsibilities AI Product Strategy & Roadmap Define and execute the internal AI product strategy aligned with enterprise IT and business goals Own multiple product lines in the internal AI product space Prioritize high-value use cases across IT functions (helpdesk, infrastructure, security, applications, enterprise data) Balance quick wins (AI copilots) with longer-term bold initiatives (AI-driven automation and decision-making) Experience in implementing AI solutions for enterprises our size and scale. This should include enabling agentic platforms for organizations and bringing to the table the best practices, pitfalls and learnings from such experiences Product Management Execution Embrace the product mindset and own the lifecycle of AI products—from ideation, critical user journey definition, requirements gathering, vendor evaluation, prototyping, and implementation to scaling in production Define and manage product backlogs, roadmaps, and success metrics Drive adoption and ensure AI solutions are delivering measurable outcomes (efficiency, cost savings, user experience) Stakeholder Engagement Partner with IT leaders (Applications, Infrastructure, Security, Service Desk) to identify pain points and AI opportunities Collaborate with business stakeholders to ensure alignment and secure sponsorship for AI initiatives Communica

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio's next Staff Software Engineer on our Data & Analytics Platform Who we are & why we’re hiring Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences. Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. About the job We are seeking an experienced Staff Engineer to join our Data Substrate team. In this role, you will be responsible for architecting scalable and reliable data solutions, collaborating closely with cross-functional partners driving technical innovation, and mentoring a team of talented engineers. The ideal candidate will have deep expertise in d

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacarts Data Infrastructure organization builds and operates the systems that power our company’s data ecosystem, including a modern open data lakehouse on Apache Iceberg, a multi-engine compute platform for stream and analytical workloads, and self-serve tooling that helps Product, Data Science, ML, Ads, Finance, and engineering teams move fast with data. We’re looking for a Staff Software Engineer, Data Infrastructure to join our Data Governance and Foundations Team. In this role, you’ll serve as a senior technical leader owning the architecture and delivery of our open lakehouse foundation, governance and access patterns, and multi-engine compute strategy—balancing today’s reliability with the next three to five years of scale, maturity, and cost efficiency. You’ll collaborate closely with engineering leadership and stakeholders across Data Science,

As a Staff Application Security Engineer at Datadog, you'll set technical direction for how we approach application security at scale. You'll define the frameworks, methodologies, and architectural patterns that engineering teams across Datadog adopt and apply independently. You're the person others come to when they don't know how to make something secure, and you reliably have an answer. You'll be a point of contact for our most complex security programs, often spanning multiple teams and multiple quarters. The role requires both depth (going very deep on specific problems when needed) and breadth (recognizing patterns across systems and drawing connections that others miss). Partnering closely with teams inside and outside the security org is key to success. You'll help shape the AppSec roadmap and make the case for where investment should go. We use our own platform. Logs, Dashboards, Service Catalog, and APM aren't just things we sell: they're tools the AppSec team uses to build security services, measure adoption of secure defaults, and communicate risk across the organization. AI is also part of the picture. Engineering at Datadog increasingly uses agentic tooling throughout the development lifecycle, and many of the products we ship to customers now include AI-powered features. Both create new attack surfaces, and defining our strategy for addressing them is part of this role. If using Datadog to observe Datadog's own security posture, building impactful tooling, and shaping how we secure AI-powered systems sounds like the right kind of problem, this role is worth a close look. What You’ll Do: Define and drive security standards and secure-by-default solutions, serving as the Application Security subject matter expert. Build security tooling and automation that scales security practices across engineering teams, and implement robust security observability to support our threat detection team with meaningful, actionable security signals. Lead threat mod

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team The AI Cluster Production Engineering team is part of the AI Compute Platform organization at Biohub, a non-profit research lab committed to open science and open-source AI. We own the design, operation, and reliability of large-scale multi-GPU AI clusters that power frontier AI biology research: protein language models, genomic foundation models, and scientific reasoning systems built to be shared, not monetized. Our clusters run Slurm on Kubernetes infrastructure and support everything from day-to-day AI researcher workflows to multi-node hero training runs at thousands of GPUs. The team works at the intersection of AI tooling, distributed systems, HPC, and frontier AI, debugging deep AI infrastructure problems and building AI systems critical to the entire AI organization. The Opportunity CZ Biohub's mission is to cure or prevent all human disease. Achieving that requires training frontier-scale AI biology models, and that demands reliable, high-performance compute infrastructure. This is production engineering work at a frontier AI lab, with the twist that the mission is biology and the science is open. You'll keep GPU clusters running at high utilization, debug the toughest distributed systems failures, and build the operational foundations for scaling to multi-thousand GPU hero runs. The technical problems are genuinely hard (e.g., multi-node distributed training, InfiniBand fabrics, large-scale storage, Slurm at scale) inside an organization where the work is aimed at helping peop

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Global Markets Tech team drives the evolution of our guest and host experience across international markets through product innovation that accelerates international growth . Expanding in under-penetrated markets is a core pillar of our company strategy. To achieve this, we innovate at every level - adapting our product to the unique needs of every corner of the globe so that every user across our 220+ countries and regions feels right at home. The team partners closely with Product, Design, Data Science, regional stakeholders, and core platform/vertical teams to translate local market needs into durable, scalable technology that can be piloted quickly and then rolled out broadly. The Difference You Will Make: We are looking for a product-minded Staff Software Engineer (Backend) to lead the technical strategy and drive innovative initiatives for Airbnb’s international guest experiences. At Staff level, you will set a technical vision and drive execution of solutions that are highly available, secure, efficient, and designed to scale across many markets with the needs of the international business. You will work across product, engine

*Remote — United States or Canada* Who We Are Thanx is a leading loyalty and guest engagement platform that empowers regional and national restaurant brands to grow customer lifetime value. Our platform combines lifecycle marketing automations with innovative loyalty tools, focusing on access, status, and personalization instead of rote discounts. Powered by our proprietary credit card tokenization technology, Thanx captures accurate purchase data at scale, driving our CRM suite and powering high-conversion ordering experiences on both web and app. We were honored as one of Nation’s Restaurant News’ "2020 Power List" top 50 innovators in food service. Backed by over $30M in investment from industry-leading VCs like M33 Growth, Ribbit Capital, and Sequoia Capital, Thanx has a thriving culture of trust, autonomy, and internal growth. Our values — Think Boldly, Execute Reliably, Focus on What Matters, Lead Virtually, Encourage Diverse Perspectives, and Say “Thanx” Genuinely — are key to our success, resulting in strong employee tenure and an impressive alumni network. About the Role We’re looking for a highly organized, detail-oriented Staff Accountant to support our Finance team. This role is ideal for someone with early-career experience who is ready to take on more ownership and expand their exposure across the full accounting cycle. You will play a key role in day-to-day accounting operations across accounts payable, accounts receivable, and general ledger processes, while gaining hands-on experience in month-end close, reporting, tax, and audit. You’ll also partner cross-functionally to support revenue-related workflows and ensure accuracy across financial and operational systems. We’re especially excited about candidates who are interested in leveraging automation and emerging AI tools to improve efficiency, reduce manual work, and help modernize accounting processes as we scale. What You’ll Own Core Accounting Operations Manage ac