Backend Engineer (Golang)

We are seeking a Backend Engineer (Go/Python) to maintain, extend, and harden an existing real-time data processing engine while building the testing and validation infrastructure around it. This role is centered on improving an already-operational Go-based backend, adding new capabilities, increasing robustness and observability, and developing a comprehensive automated testing harness spanning unit, integration, SIL, and HIL environments. Candidates must have at least 3+ years of relevant professional experience ; junior or purely academic backgrounds are not a fit. You will work within a multi-disciplinary engineering team, collaborating with algorithm, FPGA, embedded, and systems engineers to evolve the data engine into a reliable, scalable, and well-validated core platform. The role requires deep expertise in Go, strong fluency in Python, and disciplined engineering around concurrency, performance, databases, networking, and CI/CD . Responsibilities Real-Time Data Engine Development & Maintenance • Maintain, update, and improve an existing real-time data processing engine written in Go (Golang). • Design and implement new capabilities and services within the engine as product needs evolve. • Refactor and optimize existing code for performance, reliability, maintainability, and testability. • Build scalable ingestion, processing, and distribution pipelines for streaming and real-time data sources. • Implement efficient concurrency models using goroutines, channels, and synchronization primitives. • Optimize throughput, latency, and resource usage under real-time operational constraints. • Develop and maintain websocket-based streaming interfacesand related backend APIs. Testing Harness & Validation Framework • Design and implement a comprehensive testing harness for the data engine and all other sources feeding data into the engine. • Develop and maintain automated testing at all levels, including: Unit testing, Integration testing, Software-in-the-loop (SIL), Hardware-in-the-loop (HIL) • Ensure testing workflows are integrated into CI/CD pipelines, including automated execution up to and including HIL where applicable. • Build validation tools and replay/simulation frameworks for verifying real-time behavior, correctness, and robustness. • Use pytest and Python-based tooling to orchestrate, validate, and analyze tests. Python Tooling & Analysis • Develop supporting tools and analysis workflows using Python, NumPy, and notebook environments. • Build data inspection, debugging, and verification utilities for both live and recorded datasets. • Integrate Python-based analysis and validation environments with Go-based services and pipelines. Networking, Services & Infrastructure • Build and debug backend systems using: HTTP/HTTPS ,WebSockets (WS/WSS), TCP/IP, Linux sockets and services • Configure and troubleshoot Docker networking, bridges, and port forwarding. • Deploy and operate NGINX for reverse proxying, routing, and service exposure. • Design and maintain production-grade backend services with strong understanding of Linux networking behavior. Databases & Data Management • Design, maintain, and optimize data systems using: ClickHouse, PostgreSQL • Implement and manage schema evolution, database migrations, indexing, partitioning, and performance optimization. • Manage database snapshots, backups, and restore workflows. • Integrate telemetry and metrics systems, including practical use of Prometheus with telemetry-oriented databases and services. DevOps, CI/CD & Engineering Workflow • Build and maintain Docker-based development and deployment environments. • Use Git, GitLab, and CI/CD pipelines for automated builds, tests, validation, and deployments. • Maintain high software quality through code review, branch hygiene, reproducible builds, and automated regression coverage. • Use modern AI-assisted development workflowsproductively, including practical use of agentic coding systems where appropriate. Collaboration & Documentation • Work closely with DSP, FPGA, embedded, and systems engineers to integrate the backend into the broader product. • Produce and maintain clear technical documentation for architecture, APIs, test frameworks, deployment, and operational workflows. • Participate in technical reviews and contribute to long-term maintainability and product evolution. Minimum Qualifications • Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. • 3+ years of professional software engineering experience in backend, systems, or infrastructure-oriented development. • Deep expertise in Go (Golang), including: Concurrency and goroutines, Synchronization and thread-safe design, Backend service development, Performance-oriented programming • Strong fluency in Python, including NumPy, notebook environments, and pytest. • Experience maintaining and evolving existing backend systems, not only greenfield development. • Experience designing and implementing automated testing frameworks across multiple levels, including unit and integration testing. • Strong understanding of Docker and containerized development/deployment workflows. • Strong networking knowledge (HTTP/S, WebSockets, TCP/IP, sockets) and practical experience with Docker networking, including bridges and port forwarding. • Practical experience with NGINX in reverse proxy or service exposure roles. • Strong experience with ClickHouse and PostgreSQL, including migrations, indexing, partitioning, and optimization. • Advanced experience with Git, GitLab, and CI/CD pipelines. • Strong Linux proficiency, including services, networking, process debugging, and performance investigation. Preferred Qualifications • Experience with real-time data processing engines or streaming backend architectures. • Experience building testing harnesses for complex systems, including SIL and HIL automation. • Experience with Go websocket libraries such as Gorilla or Centrifugo. • Experience integrating Prometheus into telemetry, metrics, or backend observability workflows. • Experience with Django or adjacent Python backend frameworks. • Familiarity with GIS concepts, coordinate reference systems, and tools such as pyproj and GDAL. • Strong foundation in linear algebra and prior work involving numerical or geometry-heavy backend systems. • Experience in software-defined defense or other real-time sensing/decision systems. • Proficiency with AI-assisted development tools and practical use of agentic coding systems in day-to-day software engineering workflows. • Previous experience with C++ is a significant advantage, particularly for performance-critical or systems-level development. Benefits • Competitive salary and a comprehensive benefits package, including health insurance and fuel support. • Continued support for candidates currently enrolled in a master's or doctoral program. • Opportunities for continuous professional growth and skill development. • Engage in a collaborative and innovative work environment. • Enjoy a positive and enriching work environment, situated in a desirable location.