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The Infrastructure Engineering organisation at GM is building a cloud-native platform that transforms how developers interact with automotive test hardware. This platform treats physical benches, mobile rigs, and virtual environments as cloud-native compute resources, enabling automated discovery, intelligent provisioning, and remote development workflows. As a Staff Software Engineer, you will architect and build the core platform services including the API gateway, scheduler, lifecycle orchestration, and developer tooling that enables hundreds of engineers to discover, reserve, and run workloads on automotive hardware with the same ease as spinning up a cloud VM. This is a highly visible technical leadership role where your decisions will shape the platform architecture, developer experience, and operational model whilst mentoring team members and driving engineering best practices. If you're excited about building greenfield infrastructure that solves real developer problems and scales across hundreds of automotive test benches, this role offers the opportunity to shape a platform that transforms automotive software development at GM scale.
Job Responsibility:
Design and implement core platform services including the API gateway, scheduler, lifecycle orchestrator, and synchronisation services using Go and cloud-native patterns
Build RESTful APIs with authentication (OIDC, RBAC), authorisation, versioning, and observability, architecting the inventory database system using PostgreSQL for resource metadata, capabilities, and state management
Develop intelligent scheduling and orchestration logic that matches workload requirements to resource capabilities with support for automated pooling, reservation modes, and hybrid allocation strategies
Build developer CLI tooling and integrate with the control plane, enabling developers to discover, allocate, and manage infrastructure resources through intuitive commands
Implement provisioning workflows that coordinate firmware flashing, health checks, power cycling, and resource validation across diverse automotive hardware configurations
Collaborate with stakeholders across Infrastructure Engineering, Quality Engineering, and Hardware Infrastructure to understand workflows and integrate with existing systems
Lead architectural discussions, conduct code reviews, document technical decisions, and mentor team members on distributed systems patterns and Go development
Work with tools and technologies including Go, PostgreSQL, Kubernetes, Nomad, Consul, RESTful APIs with OIDC authentication and RBAC authorisation, Datadog, S3-compatible object storage (MinIO), CI/CD pipelines, and Git/GitHub
Requirements:
Bachelor's degree in Computer Science or related field, or equivalent work experience
8+ years of software engineering experience with a strong track record of building and operating production distributed systems
Deep platform or infrastructure engineering experience, with hands-on work building APIs, schedulers, orchestrators, or similar systems at scale
Strong proficiency in Go, with ability to write clean, maintainable, and performant production code for backend services
Solid understanding of distributed systems fundamentals including consistency models, failure handling, idempotency, retry patterns, and circuit breakers
Experience with cloud-native technologies such as Kubernetes, Nomad, Consul, or similar orchestration and service discovery platforms
Strong API design skills with understanding of RESTful patterns, authentication and authorisation models (OIDC, RBAC), versioning strategies, and error handling
Deep experience with relational databases, particularly PostgreSQL, including schema design, indexing strategies, query optimisation, and migration management
Architectural thinking with ability to evaluate trade-offs, balance simplicity with flexibility, design for current requirements and future growth, and document decisions effectively
Strong communication skills with ability to explain complex technical concepts to both engineering and business stakeholders
Ownership mentality and comfort with "you build it, you run it" culture from initial design through deployment, monitoring, and production incident response
Nice to have:
Experience building Infrastructure as a Service (IaaS) or Platform as a Service (PaaS) systems that manage physical or virtual resources
Background in automotive software development, embedded systems, or hardware-in-the-loop testing environments
Hands-on experience with HashiCorp stack (Nomad, Consul, Vault) for orchestration, service discovery, and secrets management
Familiarity with Infrastructure as Code tools such as Terraform, Pulumi, or CloudFormation
Experience with observability stacks including Prometheus, Grafana, Datadog, distributed tracing, and structured logging
Understanding of security best practices for multi-tenant systems, secrets management, compliance requirements, and defence in depth strategies
Experience with event-driven architectures, message queues (Kafka, NATS, Redis Streams), and stream processing systems
Knowledge of GraphQL API design and implementation
Track record of mentoring engineers and influencing technical direction across teams
Experience migrating from legacy infrastructure to modern platforms whilst maintaining service reliability and business continuity
What we offer:
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions