[Hiring] Senior Backend Engineer @Urrly

Role Description

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.

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.

Qualifications

• Strong, production-tested Go engineering experience.
• Experience building and operating backend services, APIs, and data systems in AWS.
• Understanding of distributed systems to debug issues across services, queues, databases, storage, and client-facing APIs.
• Comfortable with relational and NoSQL databases, messaging or event systems, and infrastructure-as-code workflows.
• Solid authentication and authorization fundamentals, including token lifecycle, session management, OAuth, and API key management.
• Able to own scoped backend work from definition through deployment without needing close management.
• Clear communication of tradeoffs, progress, and blockers.
• Comfortable working in a lean startup environment where priorities can shift.
• Ability to use AI-assisted coding workflows effectively.
• Willingness to complete a live coding assessment as part of the process.

Requirements

• Experience in health tech, wearables, biometric data, IoT, or device-connected software.
• Background with HIPAA, SOC 2, GDPR, or other compliance-aware engineering environments.
• Experience with high-throughput data upload, ingestion, transformation, or export systems.
• Developer platform experience, including SDKs, external APIs, enterprise integrations, or API management.
• Familiarity with AI/ML platform infrastructure, MCP servers, or model-facing backend systems.
• Exposure to mobile-connected systems involving iOS, Android, firmware, or device data flows.

Benefits

• Remote / distributed role for candidates in the United States.
• Full-time position.
• Base salary: $150,000–$170,000 Yearly.
• Final compensation depends on experience, skill level, and assessment performance.

Company Description

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.