Lead Backend Engineer

Lead Backend Engineer About BluJuniper BluJuniper is an AI and optimization company building advanced software systems for complex operational environments. Our work spans cloud-native platforms, computer vision, natural language processing, data infrastructure, secure collaboration, and mission-focused AI/ML applications. We are looking for a Lead Backend Engineer to help design, build, and scale the core backend services that power computer vision, audio, and natural language processing applications. This is a hands-on technical leadership role for someone who can architect systems, write production-quality code, mentor engineers, and make strong technical decisions across distributed systems, data models, APIs, authentication, and real-time communications. Compensation $125,000 - $225,000 per year Compensation will be based on experience, location, and qualifications. BluJuniper offers competitive compensation and benefits for eligible employees. About the Role As Lead Backend Engineer, you will own major backend architecture decisions and guide the implementation of reliable, secure, and scalable services. You will work across microservices, data schemas, messaging systems, real-time media infrastructure, and access control systems. You should be comfortable operating at both the systems-design level and the code-review level. This role is ideal for an engineer with strong experience in Go, C++, or a similar object-oriented or lower-level programming language who enjoys building clean backend infrastructure, designing durable data models, and leading other engineers through complex technical work. Go will be the primary implementation language for this role. Responsibilities: · Lead the design and development of backend services using Go · Own core backend work related to real-time communication capabilities, including WebRTC, LiveKit, SFU architectures, or comparable media platforms. · Architect and implement cloud-based, microservice-oriented systems that are reliable, observable, secure, and maintainable. · Design service-to-service communication patterns, API contracts, event flows, and integration points between distributed services. · Develop 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 or comparable messaging technologies. · Partner directly with computer vision, NLP, AI/ML, frontend, DevOps, and security stakeholders to translate requirements into well-structured backend architecture. · Review code, mentor engineers, establish engineering standards, and help the team make sound technical tradeoffs. · Improve system performance, scalability, reliability, and debuggability across production services. Required Qualifications: · 7+ years of professional backend or systems engineering experience. · Strong proficiency in Go, C++, Java, Rust, or a similar object-oriented or lower-level programming language. · Experience designing and operating cloud-based architectures on AWS, Azure, GCP, or similar cloud platforms. · Experience with working on/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. · Extensive 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. · Experience leading technical projects, mentoring engineers, reviewing designs, and guiding implementation across a team. · 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. · 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 leading data modeling efforts for large distributed backend systems · Experience working in regulated, government, defense, or enterprise security environments. · Experience with observability tooling, including structured logging, metrics, tracing, and al