Senior Backend Engineer - AI-Driven API Platform

MCG Health

Seattle (WA)

Hybrid

USD 118,000 - 166,000

Full time

7 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401K
Paid time off
Parental leave
Company events travel

Job summary

MCG Health in Seattle, WA is seeking a Senior Software Development Engineer to own the end-to-end delivery of internal APIs and platform services. You will shape load delivery, observability, and reliability while mentoring teammates and guiding scalable design choices across cloud-based infrastructure.

This role blends AI-assisted development with strong collaboration across data science and engineering teams in a hybrid, on-site environment.

Qualifications

  • 5+ years of professional software development experience.
  • Experience with Python and Golang.
  • Experience building integrations in distributed systems environments.
  • Strong written communication and documentation.
  • Experience with async patterns, idempotency, and failure handling.

Responsibilities

  • Implement and maintain network delivery solutions for MCG Data Science SDKs.
  • Collaborate to understand integration contracts and surface early blockers.
  • Write and maintain documentation and runbooks for the systems you own.
  • Participate in on-call rotation for internal platform services and drive reliability improvements.
  • Provide expert code reviews and technical mentorship within the team.
  • Design solutions on modern infrastructure (cloud, Kubernetes, LLMs).

Skills

Python
Golang
Backend services
Distributed systems
Async patterns
Documentation
Code reviews
Pair programming

Tools

Kubernetes
Cloud
APIs
CI/CD

Job description

MCG Health in Seattle, WA is seeking a Senior Software Development Engineer to own the end-to-end delivery of internal APIs and platform services. You will shape load delivery, observability, and reliability while mentoring teammates and guiding scalable design choices across cloud-based infrastructure.

This role blends AI-assisted development with strong collaboration across data science and engineering teams in a hybrid, on-site environment.

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