Staff Data Engineer

General Motors

. Own technical direction and end-to-end delivery of services and initiatives from requirements and architecture through development, testing, deployment, observability, support, and continuous improvement .

Posted 11/10/2026full-timeUnited StatesLead💰 $159,200 - $220,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and delivering scalable microservices and RESTful APIs using Java and Spring Boot on Microsoft Azure, while applying cloud-native architectures and DevOps practices. Proven ability to mentor engineers and drive complex technical initiatives across teams, ensuring high-quality software delivery.

Highest-signal resume keywords

Java DevelopmentSpring Boot FrameworkMicrosoft AzureMicroservices ArchitectureCI/CD Pipelines

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Microservices DevelopmentRESTful API DesignEvent-Driven ArchitectureKubernetes (AKS)Relational DatabasesNoSQL DatabasesDevOps PracticesObservability ToolingSecurity Best PracticesAgile/Scrum Methodologies

Soft Skills

Technical MentoringAnalytical Problem-SolvingEffective Communication

Tools & Technologies

KafkaAzure Event HubsGitContainer-Based WorkloadsAI-Assisted Development Tools

Industry Keywords

Cloud-Native ArchitectureDistributed SystemsData PrivacyLegacy Application Modernization

Tech Stack

Tools & technologies

AzureCassandraCloudDistributed SystemsJavaKafkaKubernetesMicroservicesMySQLNoSQLOraclePostgresRedisSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

Own technical direction and end-to-end delivery of services and initiatives from requirements and architecture through development, testing, deployment, observability, support, and continuous improvement
Design, develop, and evolve scalable microservices and RESTful APIs using Java and Spring Boot on Microsoft Azure
Make and communicate architecture decisions balancing business needs, security, reliability, scalability, maintainability, and delivery speed
Build secure, resilient services using Azure capabilities, container-based workloads, and cloud-native design patterns
Translate business needs into technical designs, implementation plans, and incremental delivery milestones
Drive engineering work across team and organizational boundaries and resolve technical dependencies
Apply event-driven architectures, messaging, and streaming platforms such as Kafka or Azure Event Hubs
Use CI/CD pipelines, automation, and DevOps practices to improve deployment quality and operational readiness
Apply relational and NoSQL databases and select appropriate technologies and data patterns
Establish and improve observability through logging, metrics, and tracing
Use AI-assisted development tools while maintaining code quality, security, and engineering judgment
Lead technical design discussions, architecture forums, and code reviews
Mentor and support engineers through technical guidance, pairing, and knowledge sharing without direct people-management responsibilities
Improve engineering practices, tooling, and platform capabilities and drive adoption of effective changes

Requirements

What you’ll need

8+ years of professional software development experience building production-grade applications
Experience designing and operating large-scale, highly available systems in a global enterprise environment
Bachelor’s degree in computer science, Software Engineering, or a closely related technical field, or equivalent demonstrable professional software engineering experience
Ability to coach and elevate engineers through technical guidance, mentoring, and pairing
Strong hands-on experience with Java and Spring Boot, including microservices-based architectures
Proven experience designing, building, and consuming RESTful APIs
Practical experience with Microsoft Azure, preferably including container-based workloads
Strong experience with event-driven architectures, messaging, and streaming platforms such as Kafka, Event Hubs, or similar
Experience with Kubernetes (AKS) or similar for container orchestration, deployment, and scaling
Working knowledge of relational and NoSQL databases such as PostgreSQL, Oracle, MySQL, Redis, or Cassandra
Experience with CI/CD pipelines, DevOps practices, and Git-based workflows
Solid understanding of cloud-native architectures, distributed systems, resiliency, and scalability patterns
Experience working in Agile/Scrum development environments
Ability to drive complex technical initiatives, lead design discussions, and influence architecture and engineering decisions
Hands-on experience with observability tooling, including logging, metrics, and tracing
Strong analytical and problem-solving skills
Ability to communicate technical concepts and tradeoffs clearly to technical and non-technical stakeholders
Data Privacy background is helpful but not required
Practical experience with security best practices, including OAuth2/OIDC, JWT, and secrets management
Experience modernizing legacy or monolithic applications into microservices and cloud-native architectures
No GM immigration-related sponsorship is available; candidates must not require sponsorship now or in the future

Benefits

Comp & perks

Relocation benefits may be available
Company vehicle evaluation program with an assigned General Motors vehicle, subject to eligibility and program requirements
Medical insurance
Dental insurance
Vision insurance
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation and holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
Incentive pay program based on company, job-level, and individual performance