Senior Full Stack Platform & Infrastructure Engineer

Role Description

Build production-critical systems for a medical-grade wearable technology platform where your work directly affects how researchers, clinicians, coaches, and enterprise organizations understand human physiology. This is a senior individual contributor role for an engineer who can move fluidly across Go backend services, AWS infrastructure, React/TypeScript web surfaces, and mobile-adjacent work — while using AI tools as a core part of how you design, build, test, and ship.

This role sits at the intersection of platform engineering, infrastructure, backend services, web frontend, and mobile. It is not a DevOps role that occasionally touches code, and it is not a product engineering role that only dabbles in infrastructure. The right person has genuine breadth across the stack and enough depth to own meaningful work at multiple layers at once.

You will join a lean, distributed U.S. engineering team building a health technology platform that spans firmware, cloud data systems, mobile and web applications, and developer-facing APIs/SDKs. The company is early in its commercial journey, moving quickly, and looking for a senior IC who can unblock important work, strengthen global-scale infrastructure, and help the team ship reliable systems in a compliance-aware environment.

AI-augmented engineering is a first-class expectation. The team uses AI tools extensively across development, QA, and code review, and this role requires comfort working with LLMs, AI coding assistants, and multiple coding agents to move faster across complex or unfamiliar parts of the stack.

Qualifications

• You have shipped production work across backend services, cloud infrastructure, and frontend surfaces — not just touched each area lightly.
• You are strong in Go for backend services, APIs, and systems-oriented engineering.
• You have hands-on AWS infrastructure experience across compute, storage, messaging, databases, networking, and observability.
• You are fluent with infrastructure-as-code, CI/CD pipelines, deployment automation, and production reliability practices.
• You have meaningful React and TypeScript experience and can contribute to product-facing web surfaces.
• You can contribute to iOS and Android codebases when needed, especially with AI-assisted development and strong engineering fundamentals.
• You understand relational and NoSQL databases, messaging/event systems, API design, and high-throughput data movement.
• You can pick up unfamiliar languages, codebases, and systems quickly without needing every tool to be your exact prior stack.
• You are comfortable operating as a senior individual contributor in a lean startup environment where scope is broad and ownership is real.
• You can manage multiple AI coding agents or LLM-assisted workflows to accelerate implementation, QA, and code review.
• You communicate technical tradeoffs clearly and keep complex cross-functional work organized without trying to take over areas already owned by teammates.

Requirements

• Own and evolve AWS infrastructure across compute, storage, networking, messaging, databases, load balancing, and observability.
• Work with AWS services such as S3, Aurora, ElastiCache, SQS, CloudWatch, load balancers, and autoscaling groups.
• Use infrastructure-as-code practices to improve reliability, cost, scalability, deployment safety, and operational clarity.
• Build, extend, and maintain CI/CD pipelines across staging and production environments.
• Improve zero-downtime deployment systems, autoscaling configurations, environment management, and release workflows.
• Contribute to security posture, authentication systems, access control, audit logging, and compliance-aware engineering.
• Coordinate across backend, frontend, mobile, infrastructure, and product workstreams.

Benefits

• Earn a $175,000 base salary, with final compensation dependent on experience, skill level, and assessment performance.
• The expected total compensation range is USD 165,000–185,000 Yearly.

Company Description

Employment decisions are based on qualifications, experience, business needs, and role-related requirements. The company does not discriminate based on protected status.

At Urrly, fairness matters. We use AI to review every application against the same clear requirements for the role. Candidates are evaluated only on job-related factors such as skills, certifications, and experience, not personal attributes.

Apply now and get a response within 24 hours.