Senior Backend Engineer, Autonomous Defense

What you'll do

• Build agent runtime, tool, connector, and orchestration systems, including durable workflows and tenant-level authorization.
• Implement safe-change controls such as simulation, approval gates, staged rollout, rollback, and audit trails; extend isolation and observability for agent actions.
• Develop ETL and GraphQL features and pipelines for agent context, run history, remediation state, and research datasets; partner with AI researchers and product teams.

What they ask for

• Bachelor's Degree in Computer Science, Computer Engineering or related field.
• 7+ yrs professional software engineering experience using modern object-oriented or functional languages.
• Experience building applications on cloud computing platforms such as AWS, Azure, GCP, using container technologies such as Docker and Kubernetes.
• Expert proficiency in SQL and demonstrated experience designing and operating distributed systems in production.

Nice to have

• Experience building agentic or LLM-backed systems in production.
• Experience with durable execution or workflow engines, multi-tenant platforms, third-party APIs, security control planes, GraphQL backends, or observability tooling.

Pay

$170,000 - $235,000 annually (base salary)

Tools

Python, Go, Scala, C++, TypeScript, AWS, Azure, GCP, Docker

AI focus

Build production infrastructure for defensive agents, working with AI researchers; the role builds the substrate for agent capabilities rather than tuning prompts. Also build ETL pipelines for datasets researchers train and evaluate against.