Build the Future of Industrial Safety

Audyse is reimagining industrial safety with AI-powered smart PPE that enables clear communication, real-time situational awareness, and live telemetry in the world’s harshest environments. As we scale from pilot deployments to thousands of connected devices, we’re looking for a Founding Backend Developer to help design and build the cloud systems that power our platform.

This is a high-impact, high-ownership role. You’ll help define our backend architecture, build production-grade systems from the ground up, and work closely with a lean team to shape both the product and the company.

We move fast. We rely heavily on AI coding tools (Claude Code, Cursor, Copilot, etc.) to accelerate development.

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What You'll Do

As a Founding Backend Developer at Audyse, you will:

• Own and evolve our AWS infrastructure as we scale from early deployments to large device fleets.
• Design and implement fast, secure, and scalable cloud services, data flows, and APIs for user-facing applications.
• Build and optimize data pipelines and storage layers for streaming data and ML workflows.
• Work in end-to-end development, from infrastructure and APIs to dashboards and portals used by industrial customers.
• Implement strong security posture across IAM, networking, secrets, and data protection.
• Ship features end-to-end — from infrastructure to API to production rollout.
• Raise the bar on engineering velocity using AI-native development workflows.

Your leverage will come from system design, architectural clarity, and how effectively you use AI tools — not from manually typing thousands of lines of boilerplate. We expect you to design systems, guide AI tools effectively, review critically, and ship fast.

We value ownership, strong technical judgment, and pragmatic decision-making. Experience matters — but how you think, adapt, and deliver matters more.

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How We Build

We are an AI-accelerated engineering team. We use:

• Claude Code
• Cursor
• Copilot
• Rapid prototyping + iteration cycles

We expect you to:

• Be fluent using AI tools to generate, refactor, and test production code.
• Understand how to guide models with precise prompts and architectural context.
• Review and harden AI-generated code critically.
• Have strong opinions on how AI changes engineering velocity and system design.

If you’ve built systems faster and better because of AI — we want to talk.

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What You Need

• Strong hands-on experience with AWS infrastructure and backend systems
• Proficiency in Python, Go, or Node.js
• Experience building and maintaining data analytics or data processing workflows
• Experience working with streaming data or IoT systems is a plus
• Solid understanding of AWS security best practices (least-privilege IAM, secrets management)
• Track record of shipping production systems end-to-end
• Comfort operating in ambiguity with minimal oversight
• AI-native workflow mindset

Don’t meet every bullet but excited about what we're doing? Apply anyway. Many excellent candidates don’t tick every box and we are looking for team players with talent.

Interview Process

We'll ask about specific situations you've handled:

• Projects you owned end-to-end with minimal oversight
• Production incidents and how you diagnosed and resolved them
• Technical decisions you made and the tradeoffs you considered
• How you use AI tools in your workflow
• Times you learned and applied new technologies under pressure

We care about how you think and solve problems, not just what’s on your resume.

Benefits

• 💰 Competitive salary + equity (your success is tied to ours!)
• 🏥 Health and Dental Insurance
• 🗓️ Flexible PTO
• 🏡 Hybrid Work Environment