설명
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
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Design, develop, and maintain scalable microservices, REST APIs, GraphQL APIs, and event-driven integrations using Java and Spring Boot.
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Build secure, reliable, and performant backend services that support mobile application experiences and enterprise workflows.
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Deploy and operate services on Azure using AKS, API Management, Functions, Cosmos DB, SQL Database, and related cloud-native services.
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Strengthen DevOps practices by building and maintaining CI/CD pipelines, deployment automation, environment consistency, and release governance using Azure DevOps and Git-based workflows.
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Improve system observability through metrics, logging, tracing, dashboards, alerting, and service health monitoring using tools such as Datadog, Grafana, Prometheus, Loki, and Azure Monitor.
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Define, monitor, and continuously improve service reliability through meaningful SLOs, SLAs, and operational health indicators aligned to customer and business expectations.
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Apply AI-enabled engineering practices to improve developer productivity, code quality, operational insight, anomaly detection, incident triage, and capacity awareness.
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Use Test-Driven Development (TDD) and strong engineering fundamentals to deliver maintainable, well-tested software with robust unit, integration, and functional test coverage.
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Partner with product, architecture, security, and dependent engineering teams to deliver solutions aligned to business and customer needs.
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Mentor engineers on microservices design, API standards, testing strategy, observability, and DevOps best practices.
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Contribute to architecture documentation, operational runbooks, API documentation, and engineering standards across the team.
Additional Job Description
Your Skills & Abilities (Required Qualifications)
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Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
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5+ years of software engineering experience, including strong hands-on development in Java and Spring Boot.
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Proven experience designing and building microservices and RESTful APIs in distributed systems.
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Experience working with cloud platforms, preferably Azure, including containerized deployments and managed services.
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Strong understanding of DevOps principles, CI/CD pipelines, infrastructure-aware development, and automated deployment practices.
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Experience with Test-Driven Development (TDD), automated testing frameworks such as JUnit and Mockito, and modern software engineering best practices.
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Strong experience with SQL databases such as Oracle or PostgreSQL.
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Strong communication, collaboration, and problem-solving skills with the ability to work effectively across teams.
What Will Give You a Competitive Edge (Preferred Qualifications)
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Experience with GraphQL, WebSockets, and event-driven or asynchronous architecture patterns.
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Experience with NoSQL technologies such as Cosmos DB or Cassandra.
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Hands-on experience with Azure services such as AKS, API Management, Functions, Cosmos DB, SQL Database, Azure Monitor, and Application Insights.
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Exposure to Google Cloud Platform (GCP) is a plus.
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Experience with observability tooling such as Datadog, Grafana, Prometheus, Loki, OpenTelemetry, or similar monitoring platforms.
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Practical experience with Docker, Kubernetes, release automation, and production support in cloud-native environments.
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Experience using AI-assisted development tools and applying AI-driven operational capabilities for log analysis, incident response, anomaly detection, or engineering productivity.
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Knowledge of security best practices including OAuth2, JWT, secrets management, and API gateway patterns.
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Familiarity with mobile backend workflows, enterprise integration patterns, and ownership experiences platforms.
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Experience working in Agile product teams and mentoring engineers through design reviews, code reviews, and delivery execution.
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.)”
다양성 정보
General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다. 자세한 정보는 GM 채용 과정 안내를 참고하십시오.
공평한 취업 기회 선언 (미국)
General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다. 자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다.
숙소 (미국 및 캐나다)
General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.
