Developer Support Engineer I

Aurora•Pittsburgh, PA

5d•$88,000 - $132,000•Hybrid

About The Position

Aurora is seeking an early-career Developer Support Engineer to join its Developer Support team and report to the Developer Support Team Lead. The team supports Aurora engineers when builds fail, tools do not authenticate, or they need access to do their work, and addresses underlying causes to prevent recurring problems. The role offers hands-on experience across CI/CD, cloud infrastructure, identity and access, and AI developer tools, with opportunities to ship code from day one. Aurora expects employees to work from the office at least three days per week; some roles may require up to five days per week based on operational needs. For roles based in Pittsburgh, Pennsylvania, the salary range is $88,000–$132,000 per year. The successful candidate is also eligible for an annual bonus, equity compensation, and benefits.

Requirements

0–2 years of experience in technical support, IT or systems administration, DevOps, SRE, or a related role; internships and co-ops count.
Working proficiency with Linux.
Experience with Git and GitHub workflows, including branches, pull requests, and resolving merge conflicts.
Experience writing Python or Bash scripts to automate tasks.
Experience troubleshooting technical issues by reading logs, reproducing problems, and isolating root causes.

Nice To Haves

Experience supporting engineers as internal customers, or experience with developer tools, build systems, or a large monorepo.
Experience with a CI/CD system such as GitHub Actions, Buildkite, or Jenkins, or a build system such as Bazel.
Experience with infrastructure-as-code, especially Terraform; cloud IAM (AWS); SSO and identity providers; or Go.
Experience writing documentation or runbooks, building self-service tools, or using AI coding assistants.

Responsibilities

Help engineers resolve issues involving builds and CI, source control, cloud access, authentication, virtual development environments, and AI coding tools.
Triage incoming support requests, resolve issues where possible, and clearly hand off issues requiring deeper fixes to the owning team.
Grant and manage access through infrastructure-as-code and peer-reviewed changes rather than manual configuration.
Identify patterns in support requests, raise emerging incidents early, and help communicate them to affected engineers.
Build scripts, command-line tools, documentation, and AI-powered automation to reduce repeat requests and manual work.