Senior Software Engineer, Corporate Engineering

Who We Are

Aurora’s mission is to deliver the

Benefits

of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge.

tech or follow us on LinkedIn .

What We Are Looking For

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We're looking for a Senior Software Engineer to join our Corporate Engineering team — the team that treats Aurora's internal platform ecosystem as an engineering problem, not a ticket queue. You'll own a portfolio of SaaS platforms end-to-end: not just administering them, but understanding what each one is for, who uses it and how, how it connects to everything else, and where it should go next.

Today that portfolio centers on our collaboration platforms (Google Workspace, Slack) and incident management platforms (FireHydrant, OpsGenie); over time it will change as our stack evolves — and your ability to reach deep ownership of a platform you've never touched is exactly what we're hiring for. Support requests will cross your desk — access issues, permissions, broken workflows. Your job is not simply to work that queue; it's primarily to make categories of it disappear.

You'll classify what's coming in, root-cause why it exists, and then eliminate it: automate it away, redesign the process that generates it, build self-service, or put an AI agent in the loop. If you measure your impact in classes of problems that no longer exist rather than tickets closed, this is your seat. In this role you will Own platforms at the architectural level.

For each platform in your portfolio, be the person who can answer: what is this for, what are the use cases, how do users actually interact with it, how does identity and lifecycle flow through it, and how does it fit into Aurora's larger application ecosystem. Set the technical strategy and roadmap for the domain. Engineer away toil.

Treat recurring requests as bugs. Categorize inbound work, find the systemic cause, and eliminate it — through automation against platform APIs, workflow redesign, self-service tooling, or AI agents handling the loop. Write real software to do it (Python, TypeScript/JavaScript), in version control, with review.

, Workato). Lead platform lifecycle end-to-end as our stack evolves: assess and pilot new tools, drive phased rollouts and integrations, govern configuration, and deprecate what we outgrow. Define build-vs-buy and licensing strategy using usage data to keep SaaS spend disciplined.

Put AI to work in the enterprise. Drive adoption of Enterprise AI tooling (Claude and similar) and build agentic automation into support and business workflows — partnering with Security to do it safely. Serve as the escalation point for the hardest problems on these platforms — with the standing goal that the same problem never needs escalating twice.

Required Qualifications

6+ years across software engineering, systems engineering, or platform engineering, with substantial time spent building automation and integrations for enterprise/SaaS ecosystems. Strong software engineering fundamentals: proficiency in at least one language (Python, TypeScript/JavaScript), working in version control with code review, and owning automations or services that run in production.