Software Developer tasked with creating diagnostic software for the Autonomous Vehicle Integrity Platform. Collaborating with engineers and working in a hybrid environment for General Motors.
About the role
- Software Engineer contributing to AI-native platforms enabling mobile apps at Parallelz. Engaging in backend development, cloud infrastructure, and AI-first tooling.
Responsibilities
- Own features end-to-end, from idea through design, implementation, deployment, and operation, leveraging agentic workflows to compress the path from concept to production.
- Build and operate backend services and the cloud infrastructure they run on, fluent across the application and platform layers.
- Stand up and maintain deployment paths on cloud infrastructure, with or without leaning on managed services, and shape the networking, load balancing, and connective tissue between services.
- Design AI-first systems and developer workflows, embedding agents, LLM tooling, and automation into how the platform team architects, ships, and operates.
- Partner with the Platform Lead to identify pain points across engineering and ship platform improvements that compound over time.
- Work natively with AI coding agents and tooling (Claude Code, Cursor, agentic workflows, custom internal agents) to accelerate research, prototyping, code generation, debugging, and review, treating these tools as a junior pair you direct and verify, not a passenger.
Requirements
- 2+ years of professional software engineering experience across large organizations or earlier-stage startups, with demonstrated range across backend development and infrastructure, and a track record of taking ideas from concept to fully deployed applications.
- Hands-on experience with at least one major cloud provider, including the ability to deploy and operate applications with or without managed services, and a solid foundation in infrastructure, networking, and load balancing.
- Working knowledge of Go, high-availability and scalable system design, Infrastructure as Code (Terraform, Pulumi, or similar), Kubernetes, and modern monitoring and telemetry stacks (Prometheus or equivalent).
- Daily fluency with AI coding agents and LLM tooling, with a clear point of view on where they help, where they fail, and how to verify their output. You actively adopt agentic workflows and look for opportunities to bring them deeper into how the team builds.
- A bias toward driving change and strong cross-functional collaboration. You look for opportunities to improve how the team operates and communicate clearly in a hybrid, async-first environment.
Benefits
- Group Retirement Savings Plan matching and participation
- Comprehensive benefits package (health, dental, vision), including Health and Wellness spending account
- Generous time off policies
- Access to leading AI tools and platforms
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