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Staff Full Stack Engineer
Modulate · Somerville, United States
About The Role
Join our team as a Staff Full Stack Engineer, where you'll play a key role in architecting, scaling, and evolving our core product platform. You'll work across the stack in a fast-paced environment, taking ownership of features from design to deployment and customer feedback. Your strong systems thinking and technical expertise will help set the quality bar for the team and improve engineering workflows. This role is ideal for someone with 8+ years of software engineering experience, a track record of taking products from zero to customers, and comfort with ambiguity and independence.
- Architect, scale, and evolve the core product platform to support growth into new markets and customer segments.
- Lead the design, implementation, deployment, and customer feedback process for features, ensuring high-quality delivery.
- Mentor and provide design feedback to team members, improving engineering workflows and tooling to enhance delivery speed.
- This role is best suited to someone who can take an ambiguous customer problem, scope a sharp solution, and ship it end to end — and whose work raises the bar for the whole team
- Clear, direct communication with engineers, product leaders, and customers alike
- Strong systems thinking spanning backend services, APIs, data persistence, and the interfaces that connect them
- 8+ years of software engineering experience across multiple layers of the stack, with a strong record of technical ownership and shipped impact
- Excellent judgment about scope: you know when good enough is right, when quality is non-negotiable, and how to tell the difference
- A track record of taking products or major features from zero to customers — ideally in startups or environments with quick iteration cycles
- Comfort with ambiguity and independence — you don't need a spec, a ticket, or permission to do the right thing
- Experience with cloud infrastructure (AWS preferred), infrastructure-as-code, and DevOps practices
- Experience productionizing ML models or building on ML-powered APIs, especially audio/voice
- Experience in developer-facing API products, gaming, or trust & safety
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