Full-Stack Software Engineer, Censys

• Professional experience with Golang for building production services
• Proficiency with SQL and a strong understanding of database semantics
• Hands-on experience designing and implementing performant gRPC services
• Collaborate with frontend engineers to support end-to-end delivery
• Ensure smooth integration between backend services and frontend applications
• Experience reasoning about system design tradeoffs (scalability, performance, resilience, fault tolerance)
• Familiarity with distributed systems concepts and messaging patterns (idempotency, retries, consensus, pub/sub)
• Proficiency with containerization and orchestration technologies (Docker, Kubernetes) and deploying services in cloud environments (GCP, AWS)
• Strong commitment to building resilient, high-quality systems backed by effective testing strategies
• Experience validating distributed system behavior beyond unit/integration tests
• Familiarity with observability and monitoring tools; comfort handling sensitive data securely
• Ability to communicate technical information clearly to different audiences
• Comfortable working in fast-paced, iterative development environments
• Partner cross-functionally with product, design, and engineering peers to align on priorities and deliverables

Desirable

• We’re seeking a Full Stack Engineer with a backend focus to join our Threat Hunting and Advanced Solutions team
• This team is responsible for building high-impact product features and workflows on top of the Censys platform
• In this role, you’ll design and deliver apis that power core experiences in the platform, while also contributing to frontend features
• You’ll collaborate closely with product, design, and engineering peers to deliver secure, resilient, and user-friendly workflows
• Your work will directly shape how customers discover, investigate, and respond to threats on the Internet
• Develop and maintain backend APIs in Go, including integrations with distributed data and AI-powered services
• Design production-grade systems end-to-end, with a focus on scalability, fault tolerance, and spec-driven development
• Model and query relational data (e.g., Postgres, MySQL), applying a deep understanding of SQL and database semantics (consistency models, isolation levels, indexing, and query optimization)
• Apply distributed systems concepts (idempotency, retries, consensus) to ensure reliable workflows
• Help push real software to production by contributing to CI/CD pipelines, testing automation, deployment strategies, and implementing observability and monitoring practices to validate system behavior in distributed environments
• Work cross-functionally with product managers and designers to plan and deliver impactful features