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Engineer Senior in Seattle

110 active opportunities · Updated for October 2026

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Explore current engineer senior jobs in Seattle. Use filters to narrow by work mode, employment type, experience and date posted.

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'd be joining the Alloy Integrations team. We own how Metronome's customers collect payments and recognize revenue. We build and run the integrations that connect Metronome's usage-based billing platform to the systems businesses depend on to get paid: Stripe invoicing and payments, cloud marketplaces (AWS, Azure, and Google Cloud), ERP systems like NetSuite and QuickBooks, and CRM systems like Salesforce. We also bring Stripe products such as Checkout into Metronome, so customers can move from contract to cash in one place. Our team helps Stripe increase the GDP of the internet by making sure every invoice reaches the right system and every payment is collected and accounted for correctly, at scale. We focus on two areas: Invoicing: collection, dunning, and invoice delivery Quote-to-cash automation: connecting the full journey from a signed deal to recognized revenue What you'll do You'll build and operate distributed systems that move billing data between Metronome and the platforms our customers use to run their finances. The work combines product engineering and reliability. You'll ship features that customers ask for directly, and you'll strengthen the event-driven pipelines that handle large invoicing spikes every month-end. You'll work closely with our product manager, with partner engineering teams that own contracts, usage rating, and invoice finalization, with solutions architects who build ERP integrations with cu

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3 days ago

Adobe Firefly’s Generative AI Services team is seeking a Senior Staff Machine Learning Engineer for our GenAI Services area. In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe’s first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers. You will tackle Adobe’s most complex engineering challenges at the forefront of the the industry, set technical direction, and mentor other ML engineers. Job Responsibilities Design and Development of core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products. Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration. Collaborate with Adobe Research and other model developer teams with a focus on model inference strategies and productization of those model Build and optimize GPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability. Foster a culture of innovation , technical excellence, and continuous improvement across the organization. What You’ll Need to Succeed MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience. 10+ years of experience in machine learning, including production-scale deployments. 3+ years of experience leading large-scale, GPU-intensive GenAI systems (training,

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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 Enterprise Security Engineer at SoFi, you will serve as the subject matter expert for Data Loss Prevention (DLP) while driving engineering across broader enterprise security domains—including email security, endpoint protection, network defense, and phishing simulation. Sitting within the Enterprise Security team, this role balances technical focus on data protection with hands-on architecture, operation, and automation of foundational IT and corporate security controls. We seek security leaders who combine technical mastery in tool administration (e.g., Zscaler, Proofpoint, Sentra, CrowdStrike) with systems thinking to mitigate risk across diverse threat vectors. In this role, you will define risk mitigation strategies and build clear technical roadmaps—accelerating security delivery while maintaining safety, correctness, and data protection. What you’ll do Lead end-to-end delivery and architecture for enterprise security capabilities: enterprise zero-trust networks, endpoint security, and SaaS posture management. Frame complex security challenges: clarify security requirements, threat models, failure modes, and success metrics while proposing clear architectural options and tradeoffs. Design for scale and resilience: establish secure baseline configurations, automate security gu

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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 The Radar ML team builds the machine learning systems that power Stripe’s Radar fraud and abuse product suite. Our models make real-time decisions across a significant share of internet commerce - helping businesses stop fraud, increase authorization, and grow safely. By turning economy-scale datasets into compelling ML products, the team directly improves customer outcomes and drives meaningful revenue for Stripe. The team is growing, and expanding into multiple new areas. We are building abuse protections across the full customer life-cycle, adaptive and customizable fraud systems for enterprises, and risk intelligence for 50+ global payment methods. What you’ll do You will own ML problems from conception to production: analyzing new fraud and abuse patterns, exploring large-scale datasets, experimenting with model architectures, designing evaluations, deploying models, and monitoring performance. Your work may include developing transformer architectures for payment data, building graph-powered intelligence across consumers, leveraging LLMs to detect emerging attacks, or rapidly prototyping new protections with frontier AI labs. You will have opportunities to ship 0→1 products, and to improve mission-critical ML models operating at Stripe scale. Responsibilities Build, train, evaluate, and deploy models that detect fraud and abuse across Stripe’s global network. Investigate emerging fraud and abuse patterns, identify whe

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About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role owns the quality of the models at the core of Sapience AI. You define, lead, and perform the training, reinforcement, and evaluation that turn open-weight foundation models into systems that reason well over a community’s knowledge and earn members’ trust. You work where research, data, and engineering meet: training and fine-tuning open model weights, reinforcing them toward the behavior communities need, and holding a rigorous evaluation bar that says, with evidence, whether a model is good enough to ship. Your work feeds directly into the COGENT architecture and the MINERVA platform. You are both a leader and a practitioner. You set the standard for what model quality means at Sapience AI, and you do the hands-on training, reinforcement, and evaluation that meet it. Why this role exists Collective intelligence is only as trustworthy as the models beneath it. If a model reasons poorly, drifts from the truth, or cannot be evaluated honestly, every system built on it inherits that weakness, and the trust communities place in the platform erodes. Training and reinforcing open-weight models well is a discipline in its own right: choosing the r

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Brex
📍 Seattle• $240K – $300K/yr
19 days 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. About the team Acquisition Engineering owns the customer journey from first touch to first value: helping prospective customers discover Brex, apply, get approved, onboard quickly, and adopt more of the platform over time. The group brings together GTM Engineering, Salesforce, Onboarding, and Adoption, with a shared mission to acquire customers faster and deliver value sooner. We operate at the intersection of customer experience, revenue, and operational scale. Our work improves funnel conversion, reduces time to first transacti

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OpenAI
📍 Seattle• Full-time• Remote• $437K – $485K/yr
24 days ago

About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence. We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes safely. We are evolving experimentation systems to help teams learn from product behavior and make better evidence-based decisions. Based out of OpenAI’s Bellevue office, we are a close-knit team that values in-person collaboration, urgency, craft, and impact. We build for other builders, and the best version of this team is one where every OpenAI product team can move faster because the experimentation and rollout layer is dependable, fast, and easy to use. About the Role We are looking for a Machine Learning Engineer to lead the technical direction for ML-powered experimentation and insights capabilities. You

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Palantir
📍 Seattle• Full-time• Hybrid• $95K – $142K/yr
25 days ago

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 As a Security Systems Engineer at Palantir, you are responsible for implementing, designing, and maintaining the physical security systems that ensure the protection of Palantir’s people, assets, intellectual property, and reputation. You lead research and evaluations for the latest technology, security infrastructure, policies, procedures, systems, and applications, looking for easy-to-use capabilities that reduce button clicks and ultimately give time back to the operator. You will be collaborating with technical teams to develop and maintain end-to-end project plans and ensure on-time delivery. Your technical expertise is second only to your integrity and genuine passion for security and technology. As a member of the Global Security and Investigations team, you work with security professionals, architects, lawyers, and software and network engineers to deliver a safe and secure environment for your fellow employees. Palantir is a global company, so you'll lead physical security projects all over the world. You'll work hard to break down barriers between teams by communicating your knowledge and goals effectively across time zones and other physical and virtual barriers. *Please note this role is NOT for cyber security or information security positions* Core Responsibilities Design and oversee the technical aspects of your projects from conception to full deployment. Systems naturally break and need maintenance. You'll work with vendors and end users to find the best solutions for a problem, in the shortest possible time. Leverage both system and software engineering skills in order to address the needs of all teams within Globa

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Plaid
📍 Seattle• Full-time• Remote• $188.7K – $242.7K/yr
29 days 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. The Platform Security team (PlatSec) defends Plaid against attackers. We own laptop security, cloud security, AI security, detection and response, and red teaming. Right now we're in growth mode. AI has expanded Plaid's attack surface faster than most security teams can adapt, and we're building the guardrails, identity controls, and detection systems to keep pace without slowing the business down. If you like solving problems nobody's solved yet, this is that team. About the role You'll be Plaid's first line of defense on AI security. You'll review new AI technologies to find security risks before they ship, then design and implement the controls that close them. You'll build the guardrails, identity management, and detection systems that let Plaid use AI aggressively without getting burned. Responsibilities Review AI systems and integrations for security risk before and after deployment. Design and deploy guardrails, sandboxes, and other controls that contain what AI agents can do. Build or implement systems to track and manage AI identities, so we know what access every AI has been granted and can balance risk with agility. Detect and mitigate prompt injection across Plaid's AI

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Twitch
📍 Seattle• $159.3K – $202.4K/yr
1mo ago

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Twitch is looking for a Security Incident Response Engineer to join our SIRT. Reporting to the SIRT Manager, you'll be at the heart of our mission to find, handle, and learn from security incidents across our global platform. We're looking for engineers who thrive coordinating response to emerging issues in information security who are ready to level up our defense. If you're passionate about protecting the Twitch community and solving complex security puzzles, we want to hear from you! You can work from San Francisco, CA; Irvine, CA; or Seattle, WA. You Will: Participate in an on-call rotation that includes your peers on the Security Incident Response Team Qualify reports or alerts of activity as security incidents using clear guidelines that establish what a security incident is Evaluate the potential and realized impact of security incidents to Twitch Analyze threat actor tactics, techniques, and procedures Participate or create information sharing groups; communicate securely and responsibly Write and follow clear procedures so that our work can be accountable, repeated, measured, and improved Communicate with peers and leadership about timeline of a security related event with what potential and realized impact, how we discovered it, and how we're handling it Coordinate security inci

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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 SoFi is building an internal AI platform that will change how employees across the company work. It combines models, enterprise context, tools, memory, governed capabilities, and an extensible agent harness so teams can move beyond chat and apply AI to meaningful business workflows. You will work with the AI Platform engineering team, product leader, and subject-matter experts across the company. You will help departments reimagine how their work gets done, build the first workflows that make that future real, and turn what you learn in the field into durable platform capabilities. Because you will be the first person in this role, you will also define what forward deployment means at SoFi: how we discover opportunities, onboard departments, build and evaluate workflows, measure outcomes, support users, and translate repeated needs into platform investments. Your work will establish the technical and operating foundation for a broader AI enablement capability. This role does not have a playbook. It is an opportunity to write one and to define how applied AI changes the way work gets done across SoFi. This is a rare opportunity to shape both an enterprise AI platform and the organization that brings it to life. What You’ll Do You will operate as a product-minded engineer, platform architect,

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OpenAI
📍 Seattle• Full-time• Remote• $185K – $300K/yr
1mo ago

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or co

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Synthesia
📍 Seattle• Full-time• Remote• From $200K/yr
1mo ago

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role You will work on core enterprise platform systems, focusing on services that ensure Synthesia is secure, reliable, and scalable for our largest customers. You will contribute to our new suite of APIs that will unlock our market leading Avatar technology to be utilised by external creative tools. We are an AI native company and use the most powerful assistant tools on a daily basis to increase our speed of development, automate repetitive tasks and widen the scope of what the team can worked on. This includes Claude and Cursor. You will have ownership of projects that span months and multiple teams, requiring you to break down complex, ambiguous problems into clear steps that can be delivered and validated iteratively. Engineers within Synthesia are empowered to contribute heavily to product discussions and build with both user and business considerations in mind. Impact is key to everything we do here. You will work closely with product, security, legal, and infrastructure partners, and will be expected to translate business and regulatory requirements into scalable technical solutions. You will evaluate your work through system health and reliability metrics, leveraging observability and monitori

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Twitch
📍 Seattle• $143.7K – $194.4K/yr
1mo ago

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Team Twitch Security Platform builds and operates the foundational software, data, and automation that enable security at scale across Twitch. As a Software Development Engineer II (SDE II) on the Security Platform team, you will design, build, and operate critical services, pipelines, and tooling that power Twitch's security, privacy, and compliance programs. About the Role Twitch Security Platform builds and operates the foundational software, data, and automation that enable security at scale across Twitch. As a Software Development Engineer II (SDE II) on the Security Platform team, you will design, build, and operate critical services, pipelines, and tooling that power Twitch's security, privacy, and compliance programs. In this role, you will work at the intersection of software, security, privacy, and data engineering, contributing production systems that handle large-scale security telemetry, automate security workflows, and provide reliable data and services to internal teams. You will partner closely with engineers and product teams to solve real-world security problems through well-designed software. You will own projects end-to-end from design and implementation through deployment and operational support for the systems that are business-critical and highly visible. The problems yo

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2mo ago

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: We are looking for a highly motivated and results-driven Consulting Systems Engineer for our Service Provider team to support one of our existing strategic accounts. This role reports within the Systems Engineering organization and works collaboratively with System Engineering Leadership, Sales Leadership, Support, Engineering, Customer Success, Product Marketing, Marketing, Strategy and Alliances to drive large/strategic deals to closure at our Service Provider accounts. In this role, you are accountable for crafting and disseminating a strategic vision for how Everpure and our technology can create better business outcomes for the customer. You are responsible for shaping the technical approach that wins share in your assigned Service Provider account, from building the solution to enabling its adoption. WHAT YOU’LL DO: Work alongside SE Management to provide technical leadership and support Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business Refine sales strategy and tactics, taking command of technica

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