Sr Software Engineer - Core Backend & Platform Engineering

ABOUT THE TEAM 

Technology is at the core of what we do. Basis is an industry-leading platform that automates and simplifies the entire digital ad campaign process. It processes over 300 billion events per day and uses AI and machine learning across the full campaign lifecycle. 

The Core Backend team is the connective tissue that keeps Basis running and enables other engineering teams to move faster. We own the core backend, the foundational customer-facing features developed within it, and the systems and standards that feature teams build on top of.  We also define expectations for performance and reliability, observability foundations, and release tooling, along with the strategy for decomposing the system into well-defined microservices and evolving the application over time. 

If you're energized by platform-level problems, by setting the standards other teams build on, and by work whose outcome is other teams shipping faster, this is the team for you. 

• 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. 

• 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. 

• Ruby, Rails, JavaScript, React, Java, Python 

• PostgreSQL, Redis, Kafka, RabbitMQ, Sidekiq 

• AWS, EC2, RDS, Docker, Terraform, Kubernetes 

• Datadog, Airbrake