Senior Backend Engineer (Go/AWS) – Remote U.S.

🏢 Urrly · all Urrly jobs (7)
📍 United States
💰 USD 150,000 - 170,000 / annual
📅 Posted 2026-09-08 · via Himalayas
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Senior Backend Engineer (Go/AWS) – Remote U.S.

Join a lean engineering team building production systems around medical-grade wearable physiology data — the APIs, SDKs, cloud infrastructure, auth flows, and data pipelines that help researchers, clinicians, coaches, and enterprise organizations make better decisions about health and performance.

This is a hands-on senior backend IC role for a strong Go engineer who can move quickly, reason through distributed systems, and ship reliable software in a compliance-aware environment. You will work within an architecture set by senior technical leaders, own well-scoped backend workstreams end-to-end, and help turn complex biometric data flows into dependable product and platform capabilities.

The Opportunity

We are early in our commercial journey and building the kind of engineering team where strong individual contributors have direct impact. You will not be joining to manage people, own the entire architecture, or build prototypes that never ship. You will be joining to execute on production-critical backend work across a real health-tech platform spanning firmware, cloud systems, mobile and web applications, developer APIs, and SDK infrastructure.

You’ll work closely with senior technical leaders and help unblock meaningful platform priorities: integrating partner algorithms, improving backend data flows, attaching APIs to existing product capabilities, strengthening infrastructure, and shipping features that support enterprise and consumer-facing use cases.

Why This Role Is Worth Your Attention

- Work on wearable physiological data systems where reliability and quality matter.

- Own real backend work across Go services, APIs, AWS infrastructure, data pipelines, auth systems, and developer-facing surfaces.

- Join a fully remote, distributed U.S. team with no specific U.S. location requirement.

- Collaborate with experienced technical leaders while staying in a hands-on IC path.

- Use modern AI-assisted engineering workflows, including tools such as Claude or Cursor depending on your preferences.

- Earn a $160,000 base salary, with final compensation dependent on experience, skill level, and assessment performance.

What You Will Own

Backend APIs & Services

- Design, build, and ship Go-based backend services that support consumer-facing and enterprise-facing product surfaces.

- Develop and maintain REST and gRPC APIs, async workers, SDK auth flows, and service integrations.

- Translate product and platform needs into simple, reliable, testable backend implementations.

Platform Infrastructure & DevOps

- Work within and improve AWS infrastructure, including services such as ASGs, Aurora, ElastiCache, SQS, S3, and CloudWatch.

- Contribute to CI/CD pipelines, zero-downtime deployment patterns, autoscaling systems, and operational reliability.

- Help the platform scale as data volume, enterprise usage, and global infrastructure needs grow.

Security & Compliance Engineering

- Build and harden authentication and authorization systems, including JWTs, OAuth flows, sessions, and API key management.

- Implement backend controls such as rate limiting, audit logging, access control, and secure client-facing data access.

- Contribute to a compliance-aware engineering environment, including SOC 2 and HIPAA-related practices.

Developer Platform & External APIs

- Extend and maintain developer-facing APIs, SDK backend systems, enterprise integrations, and API key workflows.

- Help attach APIs to existing and emerging platform capabilities so customers and partners can use data effectively.

- Support systems that make biometric data accessible, understandable, and reliable for approved client use cases.

Data Systems & Observability

- Work across relational and NoSQL databases, data export pipelines, ingestion flows, and structured logging.

- Debug performance and reliability issues across distributed components.

- Improve observability so the team can understan

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