Senior Go Software Engineer

Were looking for a Senior Go Software Engineer to build real-time voice AI systems that set the standard.

• Design and enhance backend infrastructure focusing on scalability, performance, and reliability. Implement features and maintain the systems that power our next-generation products.

• Expertly manage concurrency and parallelism in Go using goroutines, channels, and synchronization primitives like mutexes and wait groups.

• Develop robust networking and streaming capabilities , including experience with network programming, sockets, and protocols like WebSockets and WebRTC.

• Lead performance optimization initiatives by profiling Go code, reducing latency, and efficiently managing memory and garbage collection.

• Build fault-tolerant systems with strong recovery mechanisms and failover strategies to maintain service continuity.

• Implement comprehensive logging and tracing using tools such as zap, klog, OpenTelemetry, and Jaeger to enhance monitoring and troubleshooting.

• Apply Test-Driven Development (TDD) and engage in Pair Programming to ensure high code quality and promote team collaboration.

• Participate actively in code reviews , offering constructive feedback to uphold code quality and adhere to best practices.

• Stay informed on the latest in software development and contribute to the team's continuous learning and improvement.

• At least 5 years of professional experience with Go, along with a track record of developing scalable and extensible systems.

• Additional proficiency in Python and familiarity with infrastructure containerization, DevOps & MLOps tools (preferably GCP or AWS).

• Extensive experience in creating and maintaining robust APIs and implementing advanced CI/CD pipelines.

• A strong foundation in software engineering principles and a commitment to leading-edge practices including TDD, pair programming, and continuous integration.

• Exposure to voice technologies like WebRTC and Twilio.

• A background in AI , particularly around Large Language Models, Speech to Text, and Voice Synthesis applications.

• Experience in AI-related fields , such as low-latency audio stream processing or leveraging LLMs in product environments.

• Knowledge of distributed computing and cloud infrastructure at scale.

• Autonomy at speed: High-ownership roles in a fast-moving startup.

• Remote-first flexibility: Contribute from anywhere, on your schedule.

• Cutting-edge technology: Work on what interests you most.

• Career growth: Scale your impact as the company grows.

• Rewarding package: Competitive pay, equity options, and comprehensive benefits that reflect your skills and experience.