Sr Software Engineer, Applications

Ways You'll Contribute

• Contribute to the platform's performance, observability, and reliability standards, and help drive adoption across feature teams.
• Reshaping how we build and ship: CI/CD, trunk-based development, and developing a layered testing strategy (unit, integration, contract, end-to-end) so teams can test in isolation and deploy independently.
• Collaborate closely with the Enterprise Developer Experience team to build shared tooling.
• Improve the developer and pre-production experience for the core backend — pipeline design, environment stability, and a fast development feedback loop.
• Lead platform projects across the stack — release tooling, platform reliability, and the patterns that guide how we decompose the core backend into services.
• Take ownership of deliverables, quality, and on-call support across our systems and components, and drive projects from ideation through production.
• Actively partner with the feature teams who depend on the systems you own — through pull requests, demos, design discussions, and identifying risks and blockers early.

What You Bring to the Table

• 5+ years of professional software engineering experience.
• Experience developing large-scale cloud-native systems — reliability, scalability, and the observability that keeps them healthy.
• Depth in modern software delivery: CI/CD, trunk-based development, layered automated testing, and release practices like feature flagging, canary deployments, and progressive delivery.
• Experience contributing to org-wide standards — testing strategy, environment management, performance and SLOs.
• Fluency with AI coding tools (Claude Code, Cursor, Codex, etc.) as a core part of your development workflow — for code generation, debugging, exploring unfamiliar codebases, and documentation — paired with strong judgment for evaluating, refining, and taking full ownership of AI-generated output.
• A thoughtful, collaborative approach to design and decision-making, and a commitment to inclusive environments where all voices are valued.

Our Tech Stack

Ruby, Rails, JavaScript, React, Java, Python
PostgreSQL, Redis, Kafka, RabbitMQ, Sidekiq
AWS, EC2, RDS, Docker, Terraform, Kubernetes
Datadog, Airbrake