Senior Go Software Engineer

At 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.

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

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

  
  


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

  
  


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

  
  


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

  
  


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

  
  


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

  
  


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

  
  


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

  
  


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

  
  

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

  
  


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

  
  


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

  
  


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

  
  

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  Exposure to voice technologies like WebRTC and Twilio.

  
  


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

  
  


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

  
  


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  Knowledge of distributed computing and cloud infrastructure at scale.

  
  

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

  
  


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

  
  


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

  
  


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  Career growth: Scale your impact as the company grows.

  
  


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

  
  

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