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.
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.
