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Urrly

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

RemoteUnited States onlyArchived
Published
Role
Fullstack
Experience
Senior
Employment
Contract
$150k–$170k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

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.

Core skills

Go/AWS/REST APIs/gRPC/Async Workers/SDK Auth/CI/CD/Zero-Downtime Deployment/Autoscaling/AWS Services: ASGs, Aurora, ElastiCache, SQS, S3, CloudWatch/JWTs/OAuth Flows/Sessions/API Key Management/Rate Limiting/Audit Logging/Access Control/Relational and NoSQL Databases/Data Export Pipelines/Ingestion Flows/Structured Logging/Infrastructure as Code

Required skills

Distributed SystemsRelational DatabasesNoSQL DatabasesAuthenticationAuthorizationOAuthInfrastructure-as-CodeDockerKubernetesJWTObservabilityData PipelinesSQL

Optional skills

Health TechWearablesBiometric DataIoTDevice-Connected SoftwareHIPAASOC 2GDPR

Required languages

English unspecified

What you'll do

  • 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.
  • 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.
  • 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.
  • 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.
  • 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 understand platform health, trace failures, and resolve issues quickly.
  • Build backend capabilities for organization lifecycle management, user provisioning, activation, onboarding, and adherence reporting.
  • Support multi-organization hierarchy management and enterprise administration workflows.

What they require

  • You have strong, production-tested Go engineering experience.
  • You have built and operated backend services, APIs, and data systems in AWS.
  • You understand distributed systems well enough to debug issues across services, queues, databases, storage, and client-facing APIs.
  • You are comfortable with relational and NoSQL databases, messaging or event systems, and infrastructure-as-code workflows.
  • You have solid authentication and authorization fundamentals, including token lifecycle, session management, OAuth, and API key management.
  • You can own scoped backend work from definition through deployment without needing close management.
  • You communicate tradeoffs, progress, and blockers clearly.
  • You are comfortable working in a lean startup environment where priorities can shift and engineers are expected to keep moving.
  • You can use AI-assisted coding workflows effectively, including managing multiple coding agents or model-assisted tasks where useful.
  • You are willing to complete a live coding assessment as part of the process.

Benefits

  • 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.

Urrly helps improve healthcare for millions of patients across the U.S.

Healthcare
$150k–$170k/yr