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Senior Full Stack Software Engineer

  • 위치
    • Austin, Texas
    • Warren, Michigan
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202616138

설명

The Role:

As a senior engineer, you will help design, build, and safeguard the quality of applications across the GM's Product Validation, Safety & Quality IT (PVSQ) organization, which spans regulatory compliance, safety systems, and quality engineering used across vehicle programs. Depending on your strengths, you may lean toward building end-to-end features across the stack (Quarkus or Spring Boot services, a Next.js/React portal, a relational database, and a Databricks lakehouse) or toward the test automation and quality engineering that keep those systems reliable.

You will have the opportunity to work hands-on writing software or solutions, based on detailed requirements and system specifications. Using sound, repeatable, industry standard methodologies, you will support the PVSQ organization responsible for developing Nextgen applications. As part of development activities, we will update existing software and/or develop new software solutions to target specific business obstacles. A repeatable, systematic, and quantifiable approach to the development process will also be applied along with the use of appropriate methodologies.

As a coach/mentor, you will provide feedback on the software being developed to software developers. Ensure code alignment with design patterns/frameworks by working closely with architects and data scientists.

What You'll Do:

  • Design and maintain back-end microservices in  Java (Quarkus  or Spring Boot ) , exposing both  REST and GraphQL  APIs with well-defined, versioned contracts and shared DTOs.

  • Build responsive front-end features in the  Next.js / React  portal using  TypeScript  and  Apollo  for GraphQL data access.

  • Develop and support  Databricks  data workflows (Unity Catalog, Delta tables, and the medallion pattern) that feed regulatory reporting and dashboards.

  • Evolve the transactional relational schema (PostgreSQL or Oracle) safely, writing versioned  Liquibase  changesets that ship through the same pipeline as application code.

  • Produce clean, well-documented, testable code that aligns with the team's design patterns, frameworks, and standards.

  • Conduct thorough code reviews and write  unit, integration, and end-to-end tests  (TestNG, Selenium, cross-browser via BrowserStack) that gate every release.

  • Diagnose and resolve issues across services, the portal, and data pipelines, using observability tooling (Datadog / App Insights).

  • Work within the CI/CD pipeline (GitHub Actions, security scanning, promotion dev → test → prod) and help keep main releasable at all times.

  • Translate business and regulatory requirements into executable development work: break them down, shape the technical approach, and drive it through to delivery in partnership with stakeholders and BAs.

  • Lead and drive software design for scalability and reusability across the full stack, from the UI down to the database structure.

What You'll Need:

  • Bachelor's degree in Computer Science or a related field, or equivalent professional experience.

  • 7+ years building and shipping production software , with strong recent depth in  Java / JVM  (Quarkus or Spring Boot).

  • Demonstrated  full-stack  capability: comfortable owning a feature from a  Next.js / React / TypeScript  front end through a Java service to the data layer, not backend-only.

  • Proven ability to take a business requirement all the way to running software: owning the end-to-end design (UI through service to database structure) with scalability and reusability in mind, rather than only implementing predefined tickets.

  • Hands-on experience designing and operating  RESTful and GraphQL APIs , including contract/versioning discipline and API security best practices.

  • Solid experience with a  relational database (PostgreSQL  or Oracle )  behind transactional services, using an ORM ( Hibernate / JPA , ideally Quarkus  Panache ), and managing schema changes with a migration tool ( Liquibase ).

  • Working knowledge of  data-lakehouse platforms  for the analytical/reporting side ( Databricks / Delta / Unity Catalog  strongly preferred); ability to reason about data models, lineage, and access control.

  • Experience deploying and running services on  Azure : containers ( Docker ),  Kubernetes (AKS) , and container registries.

  • Fluency with  Git and GitHub-based CI/CD  (GitHub Actions or equivalent): automated build, test, security scanning, and promotion pipelines.

  • Working knowledge of  Infrastructure as Code (Terraform)  for provisioning and configuration.

  • Comfort defining and upholding technical/operational metadata standards, data-movement patterns, and ETL/ELT best practices.

  • Comprehensive understanding of the SDLC and experience in  Agile / Scrum  environments.

People Skills

  • Proven ability to lead development initiatives and drive design decisions, planning and executing deliverables within a collaborative team.

  • Independent, self-driven, and quick to learn, with strong, thorough problem-solving.

  • Highly organized and effective at managing multiple priorities in a fast-paced setting.

  • Exceptional written and verbal communication; able to translate regulatory and stakeholder requirements into actionable technical work and engage clearly with diverse audiences.

What Will Give You a Competitive Edge

  • Experience with  Apache Spark  and large-scale data processing on Databricks (DBX job orchestration).

  • Familiarity with  change-data-capture  patterns and tooling (e.g., HVR) feeding a medallion lakehouse.

  • Experience with  GHAS  (code/secret/dependency scanning),  Wiz  (container scanning), Dependabot, and secure-SDLC practices.

  • Experience with  feature-flagged, trunk-based delivery  and one-button/continuous release models.

  • Familiarity with  AI-assisted development  workflows (e.g., Copilot, Cursor) and grounding agents with repo context (AGENTS.md / cross-service dependency maps).

  • Background in  regulated or compliance-driven domains  where auditability and reporting deadlines are first-class concerns.

  • Experience with observability platforms ( Datadog , Azure Application Insights).

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 (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

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.