Senior Software Engineer – Microservices Architecture

General Motors Company; Austin (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

General Motors Company is seeking an experienced Senior Software Engineer to design, build, and optimize the Mobile Backend for Frontend and back-office integrations powering GM mobile ownership experiences. The role focuses on secure, scalable microservices in Java/Spring Boot, with cloud-native Azure deployment and strong emphasis on observability, DevOps automation, and API development.

You will mentor teams, contribute to architecture, and apply AI-enabled tooling to boost productivity and

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 5+ years of software engineering experience with strong Java and Spring Boot.
• Proven experience designing microservices and RESTful APIs in distributed systems.
• Experience with Azure cloud and containerized deployments.

Responsibilities

• Design, develop, and maintain scalable microservices and APIs.
• Deploy and operate services on Azure with AKS and cloud-native services.
• Strengthen DevOps with CI/CD pipelines and deployment automation.
• Improve observability with metrics, logging, tracing, and dashboards.
• Mentor engineers on microservices design, API standards, and testing strategy.
• Partner with product, security, and dependent teams to align with business needs.

Skills

Microservices design

REST APIs

GraphQL

Event-driven architectures

Java

Spring Boot

Cloud/Azure

DevOps

TDD

SQL databases

Education

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

Tools

Azure

AKS

API Management

Functions

Cosmos DB

SQL Database

Docker

Kubernetes

Datadog

Grafana

Prometheus

OpenTelemetry

Azure DevOps

Job description

The Role

We are seeking an experienced and highly motivated Senior Software Engineer to design, build, and optimize the Mobile Backend for Frontend (MBFF) platform and back-office integration services that power GM mobile ownership experiences. This role will focus on building secure, scalable, and resilient microservices using Java and Spring Boot, while advancing modern engineering practices across API development, cloud-native operations, DevOps automation, and observability.

The ideal candidate brings strong technical depth in microservices, hands‑on cloud engineering experience in Azure, and a practical understanding of how AI‑enabled tools can improve engineering productivity and operational insight. This engineer will play a key role in delivering platform capabilities that improve reliability, accelerate delivery, and simplify how mobile applications integrate with GM enterprise systems.

What You’ll Do

• Design, develop, and maintain scalable microservices, REST APIs, GraphQL APIs, and event‑driven integrations using Java and Spring Boot.
• Build secure, reliable, and performant backend services that support mobile application experiences and enterprise workflows.
• Deploy and operate services on Azure using AKS, API Management, Functions, Cosmos DB, SQL Database, and related cloud‑native services.
• Strengthen DevOps practices by building and maintaining CI/CD pipelines, deployment automation, environment consistency, and release governance using Azure DevOps and Git‑based workflows.
• Improve system observability through metrics, logging, tracing, dashboards, alerting, and service health monitoring using tools such as Datadog, Grafana, Prometheus, Loki, and Azure Monitor.
• Define, monitor, and continuously improve service reliability through meaningful SLOs, SLAs, and operational health indicators aligned to customer and business expectations.
• Apply AI‑enabled engineering practices to improve developer productivity, code quality, operational insight, anomaly detection, incident triage, and capacity awareness.
• Use Test‑Driven Development (TDD) and strong engineering fundamentals to deliver maintainable, well‑tested software with robust unit, integration, and functional test coverage.
• Partner with product, architecture, security, and dependent engineering teams to deliver solutions aligned to business and customer needs.
• Mentor engineers on microservices design, API standards, testing strategy, observability, and DevOps best practices.
• Contribute to architecture documentation, operational runbooks, API documentation, and engineering standards across the team.

Additional Job Description

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 5+ years of software engineering experience, including strong hands‑on development in Java and Spring Boot.
• Proven experience designing and building microservices and RESTful APIs in distributed systems.
• Experience working with cloud platforms, preferably Azure, including containerized deployments and managed services.
• Strong understanding of DevOps principles, CI/CD pipelines, infrastructure‑aware development, and automated deployment practices.
• Experience with Test‑Driven Development (TDD), automated testing frameworks such as JUnit and Mockito, and modern software engineering best practices.
• Strong experience with SQL databases such as Oracle or PostgreSQL.
• Strong communication, collaboration, and problem‑solving skills with the ability to work effectively across teams.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience with GraphQL, WebSockets, and event‑driven or asynchronous architecture patterns.
• Experience with NoSQL technologies such as Cosmos DB or Cassandra.
• Hands‑on experience with Azure services such as AKS, API Management, Functions, Cosmos DB, SQL Database, Azure Monitor, and Application Insights.
• Exposure to Google Cloud Platform (GCP) is a plus.
• Experience with observability tooling such as Datadog, Grafana, Prometheus, Loki, OpenTelemetry, or similar monitoring platforms.
• Practical experience with Docker, Kubernetes, release automation, and production support in cloud-native environments.
• Experience using AI‑assisted development tools and applying AI‑driven operational capabilities for log analysis, incident response, anomaly detection, or engineering productivity.
• Knowledge of security best practices including OAuth2, JWT, secrets management, and API gateway patterns.
• Familiarity with mobile backend workflows, enterprise integration patterns, and ownership experiences platforms.
• Experience working in Agile product teams and mentoring engineers through design reviews, code reviews, and delivery execution.
• Demonstrated experience developing microservices with NodeJS, Typescript, Javascript and/or Go.

Additional Information:

This job may be eligible for relocation benefits

“GM does not provide immigration‑related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)”