Full-Time Senior Go Software Engineer

About SynthflowAt Synthflow we’re building the easiest way for businesses to create AI-powered phone agents. No coding, no fuss—just smarter automation. We’re passionate about delivering the future of voice technology with lightning-fast, scalable solutions. It’s an exciting time at Synthflow: we’re early, fast-growing, and laser-focused on impact. Join us to do the best work of your career while helping businesses thrive.

About the roleWe’re looking for a Senior Go Software Engineer to build real-time voice AI systems that set the standard. Your responsibilities will include:

• 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.

You have:

• 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.
• Beyond the basics:
• 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.

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