> Markdown version of [/jobs/ext/4216434-senior-backend-engineer-in-arlington](https://www.wearedevelopers.com/jobs/ext/4216434-senior-backend-engineer-in-arlington). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Backend Engineer in Arlington - **Company:** Energy Jobline - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $160,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Audio Signal Processing, Audit Trail, Automation of Tests, Microsoft Azure, Cloud Computing, Code Review, Collaborative Software, Communications Protocols, Continuous Integration, Relational Databases, Software Debugging, Distributed Systems, Fault Tolerance, Key Management, PostgreSQL, Machine Learning, Natural Language Processing, Operational Databases, Queueing Systems, Role-Based Access Control, Redis, Software Engineering, Trusted Systems, WebSocket, WebRTC, Data Logging, Concurrency, Backend, Event Driven Architecture, Kubernetes, Apache Kafka, Terraform, Stream Processing, Grpc, Dynatrace, Docker - **Published:** October 31, 2026 - **Apply:** https://www.energyjobline.com/job/senior-backend-engineer-arlington-32121598 ## About the Role n + 5+ years of professional software engineering experience focused on backend, platform, or distributed systems. \n + Strong production experience with Go. \n + Experience designing and operating distributed services in production. \n + Strong understanding of concurrency, networking, APIs, service boundaries, fault tolerance, and distributed-system fundamentals. \n + Experience with relational databases, schema design, domain modeling, and production data-access patterns. \n + Experience designing authentication and authorization systems, including RBAC or similar access-control models. \n + Experience deploying and operating cloud-based systems on AWS, Azure, or GCP. \n + Strong debugging and performance-analysis skills. \n + Experience with automated testing, code review, and production engineering practices. \n + Ability to clearly explain technical architecture and engineering tradeoffs. \n + Legally authorized to work in the United States., + Experience with Apache Kafka, stream processing, event-driven systems, or message queues. \n + Experience with WebRTC, LiveKit, or real-time audio/video systems. \n + Production experience with Rust. \n + Experience with gRPC, WebSockets, or other high-performance communication protocols. \n + Experience building infrastructure for AI/ML, computer vision, audio processing, NLP, or geospatial systems. \n + Experience with PostgreSQL, Redis, or similar production data systems. \n + Experience with Kubernetes, Docker, Terraform, CI/CD, and modern cloud infrastructure. \n + Experience building real-time collaboration or communications platforms. \n + Experience with distributed tracing, metrics, structured logging, and production observability. \n + Experience designing secure systems involving encryption, audit logging, secrets management, and least-privilege access.