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Staff Quality Engineer Jobs

7,237 active opportunities · Updated for October 2026

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C
Coinbase
📍 - USA• Full-time• Remote• From $176K/yr
3mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The Enterprise Applications & Architecture (EAA) Business Unit Delivery team builds and operates the internal platforms that help Coinbase scale. Within EAA, the Compliance CX Agent Experience team owns Agent Cockpit, the primary internal platform used by Coinbase's compliance agents and investigators to review cases, communicate with customers, access account and transaction data, and resolve compliance-related support queries. As a Staff Technical Program Manager, you'll own program delivery for this complex, high-impact platform, driving cross-functional execution to ensure agents and investigators have reliable, performant tools every day. What you'll do: Own the program management framework for Agent Cockpit, including roadmap tracking, intake and prioritization, sprint planning, dependency management, and cross-team delivery execution. Drive technical dependency coordination and platform migrations, translating upstream system changes (API deprecations, service integrations, data model changes) into internal delivery plans and engineering asks. Lead launch readiness and operational risk management, owning security review coordination, production approvals, testing governance, and escalation when critical-path items stall. Partner with Engineering on reliability, observability, and performance programs, including system health metrics, load testing, capacity

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Plaid
📍 San Francisco• Full-time• Remote• $207.6K – $273.6K/yr
3mo ago

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Making data driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. Engineers on Data Infrastructure are domain experts in Data Warehouse, Data Lakehouse, Spark, Workflow Orchestration, and Streaming technologies. We scale our existing data pipelines in a performant and cost efficient way while creating the necessary abstractions to make developing on top of this platform extremely simple for other engineers at Plaid. Responsibilities Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities. Working with stakeholders in other teams and functions to define technical roa

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S
3mo ago

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 You’ll be joining the data science team at Stripe responsible for our overall infrastructure, with a special focus on Stripe’s security. Projects include, but are not limited to: Leverage internal telemetry and logs to understand and design secure and safe access controls to sensitive data; Develop methods to model, quantify, and ultimately de-risk security-related incidents on Stripe data, assets, and networks; Collaborate across the company with engineering, PMs, and others to better understand, measure, and ultimately detect various malicious attack vectors. You will act as a key strategic data partner to the Security organization at Stripe, and help craft, guide, and drive the strategy and tactics needed to help ensure Stripe keeps and maintains the highest level of safety and security for critical business assets and customer data. What you'll do Responsibilities Provide senior technical direction to data teams on horizontal technical areas, including detection, modeling, metrics, observability, etc. Assume hands-on leadership, especially when helping teams resolve complex problems through iterative execution. Identify broad company problems and opportunities that can be tackled through data science Work with relevant teams to design and build the quantitative outputs and artifacts that deliver outsized value to our users and our business. Provide data-driven guidance to cross-functional partners on strategy for tracking and p

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M
3mo ago

As a Staff Technical Program Manager, you will partner with key Engineering, Product, Product Design, Marketing, and Analytics stakeholders to deliver Observability features and platform capabilities for MongoDB. As a seasoned program leader, you will be responsible for one of our most mission-critical programs this fiscal year, and own executive level communication related to the program. We are looking to speak to candidates who are based in Dublin for our hybrid working model. The right candidate for this role will be: Experienced with 10+ years of working in an engineering organization leading complex cross-functional technical programs Experienced with 5 years of Software development background, with Cloud storage and compute products Experience with Service Oriented Architecture and Cloud Infrastructure Able to leverage their knowledge and experience to influence technical discussions, summarizing outcomes and next steps Skilled at communicating across a diverse set of engineers and stakeholders Hyper-organized and capable of coordinating across multiple independent work streams and organizations A role model for effective execution practices, driven by an attuned sense of priority and urgency Able to leverage their experience in program delivery to influence improvements to our tools, operations, and architecture Trained in working with project tracking software (e.g. Jira, Rally, MS Project) Familiar with MongoDB or a comparable technology Interested in business automation work such as scripting in Python, Google Apps Script and Slack. Position Expectations: Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery Recognize patterns in a sea of information and take action accordingly Design, maintain, and improve the processes and tools that power program delivery Build strategic partnerships with Product and Engineering stakeholders Expand knowledge into new domains as called upon Act as a me

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OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. 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 We are looking for a Staff Mobile Security Engineer to join our Mobile Security team, where you will play a key role in identifying and mitigating security vulnerabilities across OKX's mobile applications and platforms. This is a high-ownership role at the intersection of offensive security, mobile engineering, and platform protection — you will work closely with development, operations, and compliance teams to ensure security is embedded at every layer of our mobile stack. You bring deep expertise in mobile application security, offensive techniques, and secure coding practices. You are also fluent in AI-assisted development and bring the discipline to build, maintain, and continuously improve your own AI engineering workflows. What You'll Be Doing Identify and address security

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SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Role: Staff NOC Analyst (5 - 8 years) Location: Bangalore (24/7 Shift Environment) Role Summary We are looking for a Cloud Operations & Staff NOC Analyst who will act as the first line of operational defense for enterprise infrastructure, cloud platforms, and applications. This role requires strong real-time monitoring, incident response, and troubleshooting capabilities, along with a proactive mindset toward improving operational processes and reducing alert noise. Key Responsibilities Monitoring & Incident Management Monitor infrastructure, applications, and cloud platforms using tools such as New Relic, Datadog, Prometheus/Grafana, AWS CloudWatch, or GCP Monitoring Perform real-time alert triage, validation, and troubleshooting to restore services quickly Act as the first responder for incidents , ensuring minimal downtime and impact Identify false positives and reduce alert noise through analysis and tuning Incident Handling & Escalation Own and manage high-priority incidents (P1/P2), including: Driving incident bridges Coordinating with cross-functional

awsgcprest
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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 an AI Engineer to join our team. This is a Hybrid role, reporting to the Engineering Manager in the Product Operations department. We are seeking a hands-on AI Engineer to help scale the agentic layer of our AI Native - Product Operations Platform. In this role, you will design and build production-grade AI systems, reusable platform capabilities, and the engineering harnesses required to safely develop, evaluate, debug, and operate AI workflows at scale. As a pragmatic builder who understands modern AI systems in practice, you will translate ambiguous business needs into scalable technical solutions in a high-velocity environment. What you’ll do (Role Expectations) Build and scale the agentic layer of the AI Native - Product Operations Platform by designing production-grade AI systems, reusable platform capabilities, and reliable execution patterns Develop Agentic AI capabilities by applying p

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T
Twilio
📍 - Canada• Full-time• Remote• C$160.3K – C$200.4K/yr
3mo ago

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 Engineer, Security Engineering Partners. About the job We are actively recruiting for this role to fill an existing vacancy. This position is needed to bridge the gap between our security organization and engineering teams by partnering on the implementation of robust security measures at scale, up-leveling existing security capabilities and critical security risk reduction. Responsibilities In this role, you’ll: Design and ship scalable security solutions. Build relationships with engineering to foster cooperative partnerships across key Twilio products and platforms. Partner with product and engineering teams to integrate scalable security capabilities. Use metrics and data on the state of security at the product level, to drive accountability and action. Drive security risk reduction through technical leadership and influence of engineering roadmaps. Lead security reviews for critical features, new initiatives a

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Outreach
📍 Hyderabad• Full-time• Remote
3mo ago

About Outreach Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few. About the Team: Data is at the core of Outreach's strategy. It drives us and our customers to the highest levels of success. We use it for everything from customer health scores and revenue dashboards to operational metrics of our AWS infrastructure, to helping increase product engagement and user productivity through natural language understanding, to predictive analytics and causal inference via experimentation. As our customer base continues to grow, we are looking towards new ways of leveraging our data to deeper understand our customers’ needs and deliver new products and features to help continuously improve their customer engagement workflows. The mission of the Data Science team is to enable such continuous optimization by reconstructing customer engagement workflows from data, developing metrics to measure the success and efficiency of these workflows, and providing tools to support the optimization of these workflows. As a member of the team, you will work closely with other data scientists, machine learning engineers, and application engineers to define and implement our strategy for delivering this mission. Your Daily Adventures Will Include: Key Responsibi

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MongoDB
📍 Cork• Full-time
3mo ago

We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. The Collections team is a newly formed team within MongoDB's Observability & Adoption Org focused on making telemetry onboarding and collection significantly easier across MongoDB. We own key parts of the observability collection stack, including onboarding experience, telemetry collection agents across the data and control planes, and ingestion services for metrics, logs, and traces that support both internal and customer observability in MongoDB, driving insights, recommendations, and alerting. Our mission is to reduce friction for teams implementing and iterating on Observability while partnering closely with development teams to instrument their services using shared best practices, helping define the conventions our telemetry should follow, and building collection and ingestion systems that are stable, performant, secure, well-documented, and self-service. We also work closely with the Data Pipeline and Storage & Query teams to help ensure MongoDB has a stable and performant observability stack end to end. This is an opportunity to join a team shaping how observability works across MongoDB and to have outsized impact on both the developer experience and the reliability of the platform underneath it. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Grafana, Sp

javamongodbaws
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MongoDB
📍 Dublin• Full-time
3mo ago

We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. The Collections team is a newly formed team within MongoDB's Observability & Adoption Org focused on making telemetry onboarding and collection significantly easier across MongoDB. We own key parts of the observability collection stack, including onboarding experience, telemetry collection agents across the data and control planes, and ingestion services for metrics, logs, and traces that support both internal and customer observability in MongoDB, driving insights, recommendations, and alerting. Our mission is to reduce friction for teams implementing and iterating on Observability while partnering closely with development teams to instrument their services using shared best practices, helping define the conventions our telemetry should follow, and building collection and ingestion systems that are stable, performant, secure, well-documented, and self-service. We also work closely with the Data Pipeline and Storage & Query teams to help ensure MongoDB has a stable and performant observability stack end to end. This is an opportunity to join a team shaping how observability works across MongoDB and to have outsized impact on both the developer experience and the reliability of the platform underneath it. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Grafana, Sp

javamongodbaws
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A
Anthropic
📍 Ca Seattle• $405K – $485K/yr
3mo ago

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 Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale. This role focuses on the configuration and experimentation systems that let teams safely roll out changes, run controlled experiments, and make data-driven decisions across our products and infrastructure — from feature flagging and dynamic configuration to A/B testing platforms that support both research and production workloads. Responsibilities Own the technical strategy and roadmap for config and experimentation infrastructure, translating team-level goals into concrete execution plans and partnering with teams focused on deployment, testing, and more Maintain and enhance the architecture for feature flagging, dynamic configuration, and experimentation systems, ensuring the hardest problems get solved — whether by you directly or by working through others Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume experimentation and config workloads across all engineering teams Own and evolve the platforms and tooling that let engineers and researchers safely ship config changes, run experiments, and measure impact

pythonailogistics
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Robinhood
📍 Bellevue• Full-time• $230K – $270K/yr
3mo ago

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Storage Platform team builds and operates the platform that powers database access across Robinhood. We own relational (Postgres/Aurora), key-value (DynamoDB), and caching systems, along with the SDKs, control plane automation, and data plane services that enable safe and reliable access at scale. Our mission is to standardize and strengthen how services connect to storage, improve reliability and performance, and reduce operational overhead through automation. We manage thousands of databases and hundreds of caching clusters supporting millions of users and critical brokerage workloads. Availability is our highest priority — our systems are designed to meet strict uptime targets, including no downtime during market hours. As a Staff Software Engineer , you will design and evolve the core infrastructure that underpins Robinhood’s storage systems. You’ll lead complex distributed systems initiatives such as horizontal sharding, proxy-based query routing, connection pooling, and cross-shard transactions. You’ll work on improving database reliability, performance, and cost efficiency across multi-region deployments. This role has a direct impact on system availability, laten

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Brex
📍 Seattle• Full-time• $240K – $285K/yr
3mo ago

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders. What you’ll do As a Staff Software Engineer in Banking, you will help shape the technical direction of one of Brex’s most strategic and complex product areas. The Banking org is both a product and platform org, it owns the Brex Business Account product and AP offerings like Bill Pay and Vendors, and the underlying money movement platform and partner integrations that power those experiences. In this role, you’ll work across customer-facing product surfaces and core financial infrastructure, driving architecture, reliability, and

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