Senior Software Engineer, Corporate Engineering

Who we are

Auroras mission is to deliver the benefits of self-driving technology safely quickly and broadly.

The Aurora Driverwill 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. For the latest news from Aurora visit follow us onLinkedIn.

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.

Were looking for a Senior Software Engineer to join our Corporate Engineering team the team that treats Auroras internal platform ecosystem as an engineering problem not a ticket queue. Youll 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 youve never touched is exactly what were hiring for.

Support requests will cross your desk access issues permissions broken workflows. Your job is not simply to work that queue; its primarily to make categories of it disappear. Youll classify whats 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 Auroras 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.
• Design and automate identity and lifecycle workflows onboarding offboarding role changes across the enterprise ecosystem using APIs webhooks SCIM and IAM tooling (Okta SSO) and integration platforms (e.g. 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.
• A demonstrated track record of eliminating manual work at scale you can point to categories of requests or processes you made permanently disappear not just tasks you completed.
• Deep hands-on experience integrating SaaS platforms via APIs webhooks and event-driven patterns including identity and lifecycle automation (SSO SCIM Okta or similar).
• Proven ability to take architectural ownership of a platform you didnt previously know: rapidly building a mental model of its purpose use cases data flows and integration points. We care more about this adaptability than about experience with our exact stack.
• Systems thinking across an application ecosystem you reason about how tools connect where data and identity flow and what the second-order effects of a change are.
• Proven ability to partner across teams and with senior leadership spanning IT Software Operations/Services and Security.

Desirable qualifications

• Hands-on depth in our current stack: Google Workspace Slack incident management platforms (FireHydrant OpsGenie PagerDuty) Atlassian tools or integration platforms like Workato.
• Experience building LLM-powered or agentic automation (Claude MCP agent frameworks) for internal workflows.
• Infrastructure as Code (e.g. Terraform) CI/CD pipelines and hands-on experience with a major cloud platform (AWS GCP).
• Experience with SaaS license management usage analytics and cost governance.
• Experience building reusable automation frameworks and self-service tooling used by other teams.

The base salary range for this position is $146000 - 211000per year. Auroras pay ranges are determined by role level and location. Within the range the successful candidates starting base pay will be determined based on factors including job-related skills experience qualifications relevant education or training and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus equity compensation and benefits.