Staff Platform & Microservices Architect – MBFF Backend

General Motors

Austin (TX)

Hybrid

USD 150,000 - 230,000

Full time

5 days ago
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Job summary

General Motors is seeking a Staff Software Engineer to provide technical leadership for the Mobile Backend for Frontend (MBFF) platform and back-office integration architecture. You will shape the platform direction, drive engineering excellence across microservices and cloud-native systems, and lead DevOps and AI-enabled operational practices.

You will guide architecture decisions, establish standards for reliability, observability, and security, and mentor engineers while collaborating with

Qualifications

  • 8+ years of software engineering experience with Java and Spring Boot.
  • Experience leading architecture for distributed systems or platform-level backend services.
  • Deep experience with cloud-native apps, microservices, REST/GraphQL/WebSocket patterns.

Responsibilities

  • Lead architecture, design, and evolution of MBFF platform and core microservices.
  • Define and drive technical strategy for scalable APIs and platform capabilities.
  • Establish engineering standards for reliability, observability, security, and operational readiness.
  • Drive DevOps maturity: CI/CD, release automation, environment strategy, production support.
  • Mentor senior engineers and raise technical quality across teams.
  • Collaborate with product, architecture, security, and SRE teams to align platform direction.

Skills

Java & Spring Boot
Distributed systems
Azure cloud services
Kubernetes
CI/CD
Observability
Security & governance
TDD & automated testing
SQL databases (Oracle/PostgreSQL)
Excellent communication

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Datadog
Grafana
Prometheus
OpenTelemetry

Job description

General Motors is seeking a Staff Software Engineer to provide technical leadership for the Mobile Backend for Frontend (MBFF) platform and back-office integration architecture. You will shape the platform direction, drive engineering excellence across microservices and cloud-native systems, and lead DevOps and AI-enabled operational practices.

You will guide architecture decisions, establish standards for reliability, observability, and security, and mentor engineers while collaborating with

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