Staff Cryptography Engineer SoFiStaff Cryptography EngineerSeattle, WADeep hands-on expertise in applied cryptography, including cryptographic algorithms, secure protocol design (e.g., SSL/TLS, mTLS, M2M), and the practical implementation and lifecycle management of enterprise-grade solutions such as HSMs, KMS, secrets management, and PKI programs. You will help build SoFi’s cryptographic inventory, identify where cryptographic keys, protocols, algorithms, certificates, and libraries are used, and guide teams through the implementation of quantum-resistant and crypto-agile solutions.
Staff Hardware Engineer DigitalOceanStaff Hardware EngineerSeattle, WA$191,000–$239,000 / yearReporting to the Manager of Infra: Machines: Design, the Senior Design Infrastructure Engineer will build and scale hardware automation across DigitalOcean products and components and join a team of engineers who have already paved the way for the many tens of thousands of servers in our infrastructure. Practical knowledge of PXE boot, UEFI, Linux/OS boot, AMI/OEM BIOS distributions, OpenBMC/AMI/OEM BMC implementations, RAID and other storage resiliency technologies, and the full Network stack- from NIC firmware to TCP/IP.
Senior Staff Engineer - Flutter Geico InsuranceSenior Staff Engineer - FlutterSeattle, WA$120,000–$260,000 / yearInfluence and build vision with product managers, team members, stakeholders, and other engineering teams to solve complex problems for building enterprise-class business applications. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
Staff Product / Platform Engineer (Node) | Data and Integration | Hybrid (Seattle) | $180k - $250k USD + Equity, 401k and benefits. White BayStaff Product / Platform Engineer (Node) | Data and Integration | Hybrid (Seattle) | $180k - $250k USD + Equity, 401k and benefits.Seattle, WashingtonBacked by top-tier investors and led by founders who’ve done this before (and exited), they’ve raised $25M in under two years and kept the team lean, senior, and brutally effective. You’ll take full responsibility for building out a data and integration platform from scratch, shaping both the product direction and the technical architecture.
Staff Engineer - Capacity Planning And Management Geico InsuranceStaff Engineer - Capacity Planning And ManagementSeattle, WA$110,000–$230,000 / yearThe Staff Engineer will partner with Infrastructure, Cloud, Hardware Procurement, Finance, and Service Provider teams to develop and scale capacity engineering solutions that support workload repatriation, quota and subscription management, forecasting, and infrastructure demand planning. This role will help establish capacity engineering as a core function that empowers infrastructure efficiency, long-term cost predictability, and service availability across GEICO's technical platforms.
NewStaff Backend Engineer - Data Platform- San Francisco Haus AnalyticsStaff Backend Engineer - Data Platform- San FranciscoSeattle, OregonUnder the hood, that platform is a set of distributed backend services — ingestion from dozens of ad-network APIs, customer warehouses, and partner tools; normalization and validation layers; orchestration and observability infrastructure — feeding a BigQuery + dbt warehouse whose models must be correct, because our customers make million-dollar decisions on the outputs. With support from PhD economists, data scientists, and growth experts, Haus’ AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling brands like Dyson, Wayfair, Sonos, Fanduel, SharkNinja, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale.
Senior Staff AI Platform Engineer SentinelOneSenior Staff AI Platform EngineerSeattle, WA$184,000–$253,000 / yearIdeal candidates will have: Hands-on experience building production services that sit in front of multiple consumers such as an API gateway, internal platform, or data platform, with real exposure to authentication/authorization, rate limiting, observability, or audit logging; direct AI and LLM platform experience is a strong plus but not required. Practical experience with agent orchestration frameworks (LangGraph or equivalent) and calling hosted model providers such as AWS Bedrock or Google Vertex, with a working understanding of how context windows, memory, and tool-calling actually behave in production, not just conceptually.
Staff Backend Engineer, Custody Core (Crypto Security) SofiStaff Backend Engineer, Custody Core (Crypto Security)Seattle, WA$153,600–$264,000 / yearThis role sits at the center of crypto infrastructure, working closely with Security, Platform Engineering, Product, Treasury, and Operations to build highly available systems responsible for protecting customer assets. This engineer will design and develop the core services that power secure custody, blockchain transaction processing, wallet infrastructure, and institutional digital asset products.
Staff AI Platform Engineer SentinelOneStaff AI Platform EngineerSeattle, WA$156,000–$215,000 / yearIdeal candidates will have: Hands-on experience building production services that sit in front of multiple consumers such as an API gateway, internal platform, or data platform, with real exposure to authentication/authorization, rate limiting, observability, or audit logging; direct AI and LLM platform experience is a strong plus but not required. Practical experience with agent orchestration frameworks (LangGraph or equivalent) and calling hosted model providers such as AWS Bedrock or Google Vertex, with a working understanding of how context windows, memory, and tool-calling actually behave in production, not just conceptually.
Staff Systems Engineer – Airborne Cybersecurity (2026-100) AstronicsStaff Systems Engineer – Airborne Cybersecurity (2026-100)Kirkland, WashingtonYou will define, analyze, and verify cybersecurity requirements for airborne power generation, conversion, and distribution systems , working directly with customers, internal engineering teams, and certification authorities. Bachelor’s or advanced degree in Electrical Engineering, Systems Engineering, Aerospace Engineering, Computer Engineering, Computer Science, Information Security , or a closely related engineering discipline.
Staff Product Security Engineer, Secure Design (Kernel And Virtualization) DigitalOceanStaff Product Security Engineer, Secure Design (Kernel And Virtualization)Seattle, WA$175,000–$190,000 / yearYou'll get there by building the frameworks the org uses to reason about hypervisor risk - systematic threat models that surface risks, shared rubrics for assessing their impact and likelihood, and clear ways of communicating them to security, kernel, virtualization, and provisioning teams. The team's scope is primarily focused on reviewing early-stage decisions, developing threat models, scaling impact via automation, curating security patterns, authoring security guidance, training, and championing security initiatives.
Staff AIML Engineer Lululemon Athletica IncStaff AIML EngineerWashington, WA$211,880–$278,090 / yearRecognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth:Extended health and dental benefits, and mental health plans Paid time off Savings and retirement plan matching Generous employee discount Fitness & yoga classes Parenthood top-up Extensive catalog of development course offerings People networks, mentorship programs, and leadership series (to name a few) Note: The incentive programs, benefits, and perks have certain eligibility requirements. Location: United States of America State/Province/City: Washington City: Seattle Business Unit: Store Support Centre (SSC) Time Type: Full-time Description & Requirements Who we arelululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits.
Staff Vulnerability Management Engineer SofiStaff Vulnerability Management EngineerSeattle, WA$144,000–$247,500 / yearDesign, build, and productionize scalable triage and prioritization automation, including scanner and asset integrations, enrichment pipelines, decision logic, deduplication, ownership resolution, service-level tracking, observability, and failure recovery. Engineer and improve vulnerability workflows across application security, cloud and infrastructure, containers and Kubernetes, open-source dependencies, secrets, software supply chain, and hardware-adjacent surfaces such as GPU, DPU/BlueField, BMC, and firmware.
Staff Infrastructure Reliability Engineer - Database & Storage Rocket MortgageStaff Infrastructure Reliability Engineer - Database & StorageSeattle, WashingtonRemoteThis role requires depth in design, collaboration with internal teams, a proactive approach to problem solving, and the ability to share complex ideas with senior leadership and secure their support. You have a proven history in architecting, building, scaling, and supporting cloud infrastructure technologies, specializing in database and storage services and can communicate the direct business impact of this work.
Staff Engineer - Cmaas (Platform And Tools - Vms) Geico InsuranceStaff Engineer - Cmaas (Platform And Tools - Vms)Seattle, WA$110,000–$230,000 / yearThe Platform and Tools - VMs team is dedicated to realizing a secure, reliable, scalable, and highly efficient next-generation virtual machine management and orchestration platform running on Kubernetes. This role requires deep technical expertise in configuration management systems, infrastructure as code, and the ability to drive technical strategy across engineering teams.
Staff Engineer - Applied AI Geico InsuranceStaff Engineer - Applied AISeattle, WA$110,000–$230,000 / yearYou will partner with engineering teams, data scientists, and product leaders to design, build, and scale AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience. Design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale.
Senior Staff ML Engineer Geico InsuranceSenior Staff ML EngineerSeattle, WA$150,000–$300,000 / yearYou bring a passion for providing hands-on guidance, ensuring architectural and technical excellence and best practices, serving as a source of thought leadership, and leading by example to solve complex, large-scale, cross-functional problems. Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, and designers to gather requirements, define project scope and prioritize feature development.
Staff Engineer - PKI Geico InsuranceStaff Engineer - PKISeattle, WA$115,000–$230,000 / yearEngineers to innovate and build new systems, improve, and enhance existing systems as well as identify new opportunities to apply your knowledge to solve critical problems. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
Senior Staff Machine Learning Engineer Geico InsuranceSenior Staff Machine Learning EngineerSeattle, WA$150,000–$300,000 / yearCross-functional collaboration: Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs. Responsibilities: Technical Design & Architecture: Own design, architecture and development of multiple inter-connected high-performance, durable and scalable platform components that collectively power large sets of end-to-end GenAI agentic workflows.
Staff Machine Learning Engineer HiveStaff Machine Learning EngineerSeattle, WA$200,000–$300,000 / yearEverything involved in applying a ML model to a production use case, including designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.