Senior Software Engineer, Corporate Engineering

Aurora Innovation$162K — $260K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years in software, systems, or platform engineering with enterprise/SaaS automation experience.
  • Proficiency in at least one programming language (Python, TypeScript/JavaScript) and experience with version control and code review.
  • Proven history of eliminating manual workflows on a large scale, demonstrating impactful problem-solving.
  • Hands-on experience with SaaS integrations via APIs and lifecycle automation tools (e.g., SSO, SCIM, Okta).
  • Ability to quickly understand and take ownership of unfamiliar platforms and their architectures.
  • Strong systems thinking skills, understanding tool connectivity and data flows across ecosystems.
  • Experience working collaboratively with cross-functional teams and senior leadership.

Responsibilities

  • Own architectural management of SaaS platforms, defining their purpose, use cases, and integration points.
  • Categorize and eliminate recurring support requests, treating them as systemic bugs.
  • Design and automate enterprise identity workflows using APIs and integration tools.
  • Manage the lifecycle of platforms, assessing new tools and driving adoption for operational excellence.
  • Implement AI technologies to improve efficiency and support workflows within the enterprise.
  • Serve as the escalation point for complex platform issues, ensuring no repeated problems arise.

Benefits

  • Flexible hybrid work environment, emphasizing in-office collaboration at least 3 days a week.
  • Commitment to safety as a core responsibility for all employees.
  • Focus on integrity and teamwork in a positive workplace culture.
Full Job Description
What we are looking for

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 $162,000 - $260,000 per year.

For roles based in Pittsburgh, PA: The salary range for this position is $146,000 - $234,000 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.

About Aurora Innovation

Aurora Innovation is a technology company that develops self-driving car technology. The company was founded in 2017 by a team of experts in the field of autonomous vehicles, including former executives from Google, Tesla, and Uber. Aurora's technology is designed to enable vehicles to operate safely and efficiently in a variety of driving conditions, and the company has partnerships with a number of major automakers, including Volkswagen and Hyundai. Aurora is based in Boston, Massachusetts.
Learn more about Aurora Innovation
Size
600 employees
Market Cap
$1.3 billion
Industry
NASDAQ

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