Top Software Engineer Jobs

Lead frontend engineering for Affirm’s consumer web experiences using React and TypeScript. Own quarterly team goals, deliver major product features, modernize web architecture and design systems, and develop tools such as codemods and AI agent skills. Collaborate with product, design, analytics, and engineering teams; establish quality standards; monitor availability and metrics; support on-call operations; resolve technical issues; and mentor engineers.

Leads the Infra Foundations engineering team, setting its roadmap, mentoring engineers, and maintaining reliable AWS foundations. Owns account provisioning, networking, IAM, infrastructure-as-code automation, GitOps workflows, quota management, patching, configuration management, incident response, and security collaboration. Establishes operational standards, drives self-service tooling adoption, and ensures infrastructure frameworks are safe, consistent, and dependable across teams.

Build and ship full-stack web and mobile experiences across Affirm’s consumer products. Responsibilities include breaking projects into tasks, collaborating with product, design, and analytics teams, developing scalable APIs, writing tested and extensible code, monitoring service metrics, supporting on-call operations, debugging, conducting code reviews, and participating in team development and interviews.

Develop and ship full-stack web and mobile experiences across Affirm’s consumer app and website. Collaborate with product, design, analytics, and engineering teams to break down projects, make technical decisions, write tested and extensible code, launch scalable APIs, monitor service health, support on-call operations, review code, and participate in team development and interviewing.

Leads Affirm’s Resilience Engineering team, defining strategy and managing engineers who build platforms for safe production load testing and chaos engineering. Owns fault-injection and experimentation systems, safeguards, observability, rollback mechanisms, monitoring, and incident response practices. Partners cross-functionally to identify systemic weaknesses, improve reliability, and embed resilience validation into engineering workflows. Requires leadership experience in reliability, infrastructure, or distributed systems and hands-on expertise with production testing, chaos engineering, cloud-native environments, and distributed-system failure modes.

Lead Affirm’s Resilience Engineering team, defining strategy and building platforms for safe production load testing and chaos engineering. Manage engineers, establish safeguards such as isolation, approval workflows, rollback, observability, and auditability, and partner across infrastructure, security, and product teams to improve reliability. Drive adoption of resilience practices, identify distributed-system weaknesses, and guide monitoring, alerting, and incident response for production experiments.

The Staff Software Engineer will lead technical strategy, ensure system availability, and develop backend systems at scale, collaborating across teams to drive capacity modeling and operational quality.

The Staff Software Engineer, Backend for Capacity Modeling develops scalable backend systems, maintains capacity models, and collaborates on technical strategies while ensuring system availability and high-quality code delivery.

Build and maintain backend systems for money movement and card ledger features. Design, develop, and launch scalable APIs and services (Python or Kotlin) using AWS, MySQL, and Kubernetes. Collaborate with product, design, data science, and cross-functional teams, support operations and on-call, create and monitor metrics, participate in code reviews and hiring, and deliver well-tested, extensible solutions.

Own quarterly engineering goals for the Recoveries team, delivering scalable backend systems that maximize charged-off loan recovery and reconcile partner discrepancies. Lead engineers through ambiguous problems, collaborate with product, design, analytics, and risk stakeholders, and ensure operational reliability through metrics, monitoring, on-call support, and failure handling. Establish quality standards, guide technical design and implementation, contribute to large codebases, and mentor engineers through feedback and technical leadership.