Senior Software Engineer, Corporate Engineering

Posted 2 Days Ago
Be an Early Applicant
2 Locations
Hybrid
146K-235K Annually
Senior level
Automotive
The Role
Own Aurora’s internal SaaS and collaboration platforms architecturally, including roadmap, integrations, identity lifecycle, and platform governance. Build production software and automation in Python or TypeScript/JavaScript to eliminate recurring support work through APIs, workflows, self-service tools, and AI agents. Lead tool evaluations, rollouts, licensing strategy, and enterprise AI adoption while serving as an escalation point and partnering with IT, Security, Operations, and senior leadership.
Summary Generated by Built In

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. For the latest news from Aurora, visit aurora.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.

  • 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 didn't 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.

For roles based in Mountain View, CA: The salary range for this position is $163,000 - $235,000 per year.

For roles based in Pittsburgh, PA: The salary range for this position is $146,000 - $211,000 per year.
Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s 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.

 

Working at Aurora

At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.

We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.

Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.

Our commitment to safety

At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.

Our commitment to inclusion

Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].

For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.

Skills Required

  • 6+ years of experience across software engineering, systems engineering, or platform engineering, including substantial enterprise/SaaS automation and integration work.
  • Proficiency in Python or TypeScript/JavaScript, with strong software engineering fundamentals, version control, code review, and production ownership.
  • Demonstrated success eliminating manual work and permanently removing categories of requests or processes at scale.
  • Hands-on experience integrating SaaS platforms through APIs, webhooks, and event-driven patterns.
  • Experience automating identity and lifecycle workflows using SSO, SCIM, Okta, or similar IAM tools.
  • Ability to rapidly take architectural ownership of unfamiliar platforms and understand their use cases, data flows, and integrations.
  • Systems thinking across application ecosystems, including identity and data flow analysis and assessment of downstream effects.
  • Ability to partner across IT, Software, Operations/Services, Security, and senior leadership.
  • Experience with Google Workspace, Slack, FireHydrant, OpsGenie, PagerDuty, Atlassian tools, or Workato.
  • Experience building LLM-powered or agentic automation using Claude, MCP, or agent frameworks.
  • Experience with Infrastructure as Code such as Terraform, CI/CD pipelines, and AWS or GCP.
  • Experience with SaaS license management, usage analytics, and cost governance.
  • Experience building reusable automation frameworks and self-service tooling for other teams.

Aurora Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aurora and has not been reviewed or approved by Aurora.

  • Healthcare Strength A broad set of medical plan options with dental and vision, plus company‑paid life and disability, signals strong healthcare support. Mental wellness access, including coaching and therapy sessions, further strengthens the offering.
  • Leave & Time Off Breadth Flexible vacation for salaried employees, 12 paid holidays, and reasonable sick time indicate generous time‑off provisions. Some roles also accrue substantial vacation days annually.
  • Parental & Family Support Paid parental leave and family‑forming reimbursement demonstrate meaningful support for growing families. Coverage for adoption, surrogacy, egg freezing, and genetic testing extends support beyond standard plans.

Aurora Insights

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The Company
HQ: Mountain View, CA
1,579 Employees
Year Founded: 2017

What We Do

Founded in 2017 by experts in the self-driving industry, Aurora is on a mission to deliver the benefits of self-driving technology safely, quickly, and broadly. To move both people and goods, the company is building the Aurora Driver, a platform that brings together software, hardware and data services to autonomously operate passenger vehicles, light commercial vehicles, and heavy-duty trucks. Aurora is backed by Sequoia Capital, Baillie Gifford, funds and accounts advised by T. Rowe Price Associates, among others, and is partnered with industry leaders including Toyota, Uber, Volvo, and PACCAR. Aurora tests its vehicles in the Bay Area, Pittsburgh, and Dallas. The company has offices in those areas as well as in Bozeman, MT; Seattle, WA; Louisville, CO; and Wixom, MI. To learn more, visit aurora.tech. Aurora is backed by Amazon and Sequoia, among others, and has partnerships with leading transportation companies including PACCAR, Uber, FCA, and Hyundai Group. It tests its vehicles in the Bay Area, Pittsburgh, and Dallas and has offices in those cities as well as in Bozeman, Seattle, Denver, and Detroit. Aurora hires people who want to build the future of transportation. Join us!

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