Staff Software Engineer – MBFF Platform / Microservices Architecture
General Motors · Austin, Texas, United States of America ·
- Seniority
- Staff
- Category
- Software engineering
- Experience
- 8+ years
- Visa sponsorship
- No
- Company size
- 1000+
General Motors · Austin, Texas, United States of America ·
Job Description
Work Arrangement:
This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX or Warren, MI three times per week.
We are seeking a highly experienced Staff Software Engineer to provide technical leadership for GM’s Mobile Backend for Frontend (MBFF) platform and associated back-office integration architecture. This role is responsible for shaping the technical direction of the platform, driving engineering excellence across microservices and cloud-native systems, and leading the adoption of scalable DevOps and AI-enabled operational practices.
This engineer will serve as a senior technical leader across the MBFF domain, influencing architecture, reliability strategy, platform standards, and cross-team execution. The role requires deep expertise in Java-based microservices, Azure cloud platforms, observability, CI/CD, and modern software delivery, along with the ability to guide teams through complex technical decisions that improve speed, quality, and operational resilience.
Lead the architecture, design, and evolution of the MBFF platform and core microservices that support GM mobile ownership experiences.
Define and drive technical strategy for scalable APIs, orchestration services, integration patterns, and platform capabilities across REST, GraphQL, WebSockets, and event-driven systems.
Establish engineering standards for service reliability, resiliency, observability, security, and operational readiness across the MBFF ecosystem, including clear SLOs, SLAs, and service health expectations.
Drive DevOps maturity by defining and improving CI/CD standards, release automation, progressive delivery, environment strategy, and production support practices across teams.
Champion AI-enabled engineering and operations by applying intelligent tooling for code generation support, anomaly detection, operational analysis, incident triage, capacity forecasting, and engineering productivity improvements.
Partner with product, architecture, security, SRE/operations, and dependent engineering organizations to align platform direction with business priorities and enterprise standards.
Guide complex design reviews, production readiness reviews, incident reviews, and modernization initiatives to improve reliability, delivery speed, and maintainability.
Mentor senior engineers and act as a force multiplier across the organization by raising technical quality, improving decision-making, and strengthening engineering execution.
Identify opportunities to reduce platform complexity, improve reuse, standardize patterns, and accelerate onboarding and delivery across MBFF services.
Ensure architecture, APIs, and platform workflows are well documented and supported by clear technical standards, playbooks, and governance.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
8+ years of software engineering experience, including significant expertise in Java and Spring Boot microservices.
Demonstrated experience leading architecture and technical direction for distributed systems or platform-level backend services.
Deep experience designing and operating scalable microservices, APIs, and cloud-native applications in production environments.
Strong hands-on experience with Azure cloud services, Kubernetes-based deployments, and modern DevOps practices.
Proven ability to define and improve CI/CD pipelines, release practices, observability strategy, and operational excellence standards.
Strong understanding of software quality practices including TDD, automated testing, code review discipline, and engineering governance.
Strong database experience with SQL technologies such as Oracle or PostgreSQL.
Excellent communication, technical leadership, and cross-functional collaboration skills.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience leading platform modernization, reliability engineering, and operational maturity initiatives across multiple services or teams.
Expertise 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.
Strong experience with observability platforms such as Datadog, Grafana, Prometheus, Loki, OpenTelemetry, and distributed tracing solutions.
Experience applying AI-enabled practices in software engineering, platform operations, incident management, and developer productivity workflows.
Experience with GraphQL, WebSockets, service mesh, API gateway patterns, and event-driven architecture.
Strong understanding of security architecture including OAuth2, JWT, identity integration, secrets management, and secure service-to-service communication.
Familiarity with GM mobile platforms, enterprise back-office systems, or large-scale customer-facing backend ecosystems.
Experience driving technical mentoring, architectural alignment, and engineering standards across senior individual contributors and multiple delivery teams.
Strong strategic thinking, problem-solving, and execution leadership in Agile environments.
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.)
This role may be eligible for relocation benefits.




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