Top Engineering Jobs in Seattle, WA

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines and sampling strategies, improve reliability and cost efficiency, integrate observability into AI-assisted development, and drive platform adoption across engineering teams. Remain hands-on while mentoring six engineers, leading cross-functional initiatives, establishing engineering standards, and overseeing monitoring, alerting, on-call operations, and system availability.

Leads Affirm’s Resilience Engineering team, defining strategy and building platforms for safe production load testing and chaos engineering. Responsibilities include developing fault-injection and experimentation systems, implementing isolation and rollback safeguards, improving observability and auditability, driving reliability initiatives, and partnering across engineering, infrastructure, product, and security teams. The manager mentors engineers, establishes resilience practices, and enables organization-wide adoption of proactive system validation.

Lead frontend technical strategy for Affirm’s checkout decision orchestration systems. Design and architect scalable web applications, guide major technical initiatives, improve reliability and operational processes, establish engineering quality standards, collaborate with product, design, and analytics, and mentor engineers. The role focuses on building fast, clear, and reliable checkout experiences using modern declarative UI frameworks.

Build and enforce workload safety standards across Affirm’s Amazon EKS fleet. Responsibilities include Kubernetes resource management, workload isolation, disruption handling, cluster capacity analysis, policy automation, production debugging, incident response, fleet-wide rollouts, technical leadership, mentoring, and measuring infrastructure impacts on availability, latency, risk, and cost.

Own and deliver highly available, low-latency backend identity systems supporting consumer onboarding, authentication, and verification. Lead quarterly team goals, guide engineers through ambiguous problems, collaborate with product and design partners, monitor system reliability, improve engineering standards, support on-call operations, and mentor team members. The role requires designing and launching distributed systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes.

Manage the Loans Lifecycle software engineering team at Affirm. Set technical strategy, lead delivery of business-critical projects, ensure system reliability and operational readiness, establish quality standards, collaborate with product and analytics teams, and coach engineers. The role focuses on highly available distributed financial systems and audit-grade ledger technology using backend technologies including Python, Kotlin, AWS, MySQL, Spark, and Kubernetes.

Develop and ship phased software projects for Affirm’s mobile card acquisition team. Collaborate with product, design, and analytics stakeholders; build web and mobile applications and scalable APIs; monitor operational metrics; support availability and on-call efforts; participate in code reviews, interviews, and team development.

Develop and launch scalable full-stack search systems using JavaScript, TypeScript, Python, or Kotlin. Collaborate with engineers and stakeholders, balance delivery speed with system reliability, debug code, participate in code reviews, write tested and extensible software, and contribute to team growth and communication.

Lead technical vision and strategy for Affirm’s Cards backend engineering organization. Architect scalable and reliable platforms, guide cross-team initiatives, champion AI adoption and engineering excellence, influence technical roadmaps, and mentor engineers through Staff level. The role requires strong architectural expertise, organizational leadership, project management, communication, and cross-functional collaboration.

Own and deliver backend lakehouse infrastructure goals, lead engineers through complex problems, and build highly available distributed data systems. Collaborate with product, design, analytics, and engineering stakeholders; define scalable technical solutions; improve code quality and engineering standards; monitor operational health; support on-call responsibilities; and mentor team members.