Senior Software Engineer

We are looking for a Senior Software Engineer to help design, build, and scale the backend systems that power advanced computer vision, audio, navigation, and natural language processing applications. This is a hands-on engineering role for someone who can write production-quality Go, design reliable backend services, and work across distributed systems, data models, APIs, authentication, authorization, and real-time communication infrastructure. About the role: As a Senior Software Engineer, you will help build secure, scalable, and maintainable backend services using Go. You will work across microservices, data schemas, messaging systems, real-time media infrastructure, access control systems, and cloud-based backend architecture. This role is ideal for an engineer with strong production experience in Go who enjoys building clean backend infrastructure, designing durable data models, and solving complex distributed systems problems. Go will be the required implementation language for this role. Responsibilities: Design, develop, and maintain backend services using Go. Build cloud-based, microservice-oriented systems that are reliable, observable, secure, and maintainable. Develop service-to-service communication patterns, API contracts, event flows, and integration points between distributed services. Design and maintain data schemas, domain models, persistence strategies, and data access patterns across backend systems. Build backend infrastructure for authentication, authorization, role-based access control, and customer onboarding workflows. Build event-driven systems using Apache Kafka. Support real-time communication capabilities, including WebRTC and LiveKit. Partner with computer vision, NLP, AI/ML, frontend, DevOps, and security stakeholders to translate requirements into well-structured backend systems. Participate in code reviews, technical design discussions, implementation planning, and engineering tradeoff decisions. Improve system performance, scalability, reliability, and debuggability across production services. Required Qualifications: 5+ years of professional backend or systems engineering experience. Strong production experience building backend systems in Go. Ability to obtain and maintain a U.S. government security clearance. Candidates must be legally authorized to work in the United States. Experience designing and operating cloud-based architectures on AWS. Experience working on or with AI/ML platforms and communicating with AI/ML teams. Strong understanding of microservice architecture, service boundaries, API design, inter-service communication, and distributed systems tradeoffs. Experience with data modeling, schema design, relational and/or non-relational databases, and long-term data maintainability. Experience designing authentication and authorization systems, including role-based access control. Strong debugging and performance-analysis skills in production backend systems. Ability to communicate clearly with both technical and non-technical stakeholders. Preferred Qualifications: Hands-on experience with WebRTC, LiveKit, or other real-time media streaming systems, preferably for audio and video. Experience with Apache Kafka, event-driven architectures, message queues, or stream-processing systems. Experience building backend systems for real-time collaboration. Experience with Kubernetes, Docker, infrastructure-as-code, CI/CD, and modern DevOps practices. Familiarity with secure software development practices, audit logging, secrets management, and least-privilege access design. Experience with observability tooling, including structured logging, metrics, tracing, and alerting. Experience working in regulated, government, defense, or enterprise security environments. Active or previously held U.S. government security clearance. What Success Looks Like: In this role, success means you can take technical requirements and turn them into reliable backend systems written in Go. You can define clean service boundaries, create practical data models, make smart implementation tradeoffs, and contribute directly to production-quality backend services. You also mentor others in their careers as software engineers. What we are looking for: We are looking for someone who is technical, practical, and collaborative. The ideal candidate is a strong backend engineer who enjoys building durable systems, simplifying complexity, and writing clean Go code for production environments. The ideal candidate is also somebody who takes the time to design their solutions before jumping into implementation. You should be comfortable working in a fast-moving environment where backend systems support advanced AI, computer vision, audio, NLP, and secure collaboration workflows. You are comfortable working across complex systems, collaborating with AI/ML and product teams, and helping the engineering team move quickly without creating unnecessary technical debt. #J-18808-Ljbffr