Senior Backend Engineer

Responsibilities

• Design and implement scalable backend services in Go that improve operator decision-making and response
• Build high-performance APIs that power customer-facing workflows and internal platform capabilities
• Model complex relationships in graph databases and optimize schemas and queries for speed and clarity
• Implement event-driven systems (e.g., with NATS) to process real-time operational data streams
• Develop and maintain automated tests to protect correctness, security, and performance as the system evolves
• Build and operate microservices deployed on AWS, with an eye toward resilience and cost-aware scaling
• Create and improve CI/CD pipelines that enable fast, secure delivery of new capabilities
• Partner with cyber operations experts to translate domain needs into robust product features
• Collaborate with frontend engineers on API contracts and data structures that are efficient and usable
• Evaluate new technologies and patterns that could unlock better operational outcomes

Requirements

• 5+ years of professional software development experience building backend (or full-stack) applications
• Strong proficiency with Go (Golang) and have shipped production services with it
• Experience working with graph databases (Neo4j, AWS Neptune, or similar), including schema design and query performance
• Working knowledge of event-driven architectures and message queues/streaming systems
• Experience building and maintaining APIs (REST and/or GraphQL)
• Experience with cloud infrastructure, ideally AWS, and understand cloud-native deployment patterns
• Hands-on experience with containerization and microservices architectures
• Strong foundation in secure coding practices and can reason about security tradeoffs
• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience

Nice-to-Haves

• Delivered software in defense, security, or other mission-critical environments
• Built systems for analysts, operators, or high-tempo users where speed and reliability matter
• Integrated AI/ML capabilities into production systems (inference, pipelines, or tooling)
• Experience with large-scale data processing and analytics workloads
• Contributed meaningfully to open-source projects
• Used observability tooling (metrics, tracing, logging) to debug and improve production systems

Benefits

• Health: Medical, dental, and vision plan options; Life/AD&D, disability coverage
• Family: Paid parental leave (12 weeks for birthing parents, 4 for non-birthing, 6 weeks for adoptive/foster/surrogacy)
• Vacation: Paid holidays and flexible PTO
• Retirement: 401(k) with pre-tax and Roth options; HSA/FSA options
• At the office: Commuter benefits, on-site garage parking, bike storage, building fitness center, desk setup stipend