Cargurus Inc.

Cargurus Inc.

Senior DevOps Engineer

Boston, Massachusetts, USA · Senior · full-time

Sponsorship not specified$137k-$171kDetected 95 days ago
PythonJavaGoRubyGitAWSCloud PlatformsKubernetesTerraformAnsibleHelmCI/CDGitHub ActionsLinuxDevOpsIncident ResponseAgileDNSLoad BalancingCommunicationCollaborationProblem SolvingMentoring

Stay score

odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$114,2751 entry
Level II$138,2372 entries
Level III$162,1983 entries
Level IV$186,1604 entries

$1,237 more$138,237 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $138,237 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Boston-Cambridge-Newton, MA-NH. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

9 transfer filings in the last year, covering 9 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Our team is responsible for designing and operating the core cloud infrastructure at CarGurus.
  • This includes managing domains such as governance, cost attribution, networking, serverless workloads, and OS configuration/orchestration.

Responsibilities

  • Platform Development & Evolution: Design, build, and operate CarGurus' production infrastructure in collaboration with support and build/delivery platform teams.
  • Automation & Infrastructure-as-Code (IaC): Drive IaC and automation practices (Terraform, Chef, Git, GitHub Actions, Concourse) to ensure secure, repeatable lifecycle operations.
  • Cloud Governance: Shape and implement cloud governance, tagging, and reporting standards to support resource attribution and ownership.
  • Networking & Edge Operations: Design and operate cloud networking, data protection mechanisms, and edge access components (Fastly CDN, Route53, HAProxy, Datadome).
  • Self-Service & Developer Workflow: Utilize, support and enhance self-service platform offerings using AWS, AI and IaC patterns via Terraform.
  • Shared Tools Ownership: Own and improve shared production tools and platforms such as Rundeck, GitHub, and Artifactory.
  • Mentorship & Documentation: Create and maintain documentation to facilitate the adoption and operation of platform services.
  • Innovation: Utilize AI-assisted design and internal tools to explore new architectures, validate trade-offs, and accelerate the design and evolution of platform services and infrastructure.
  • Design, build, and operate CarGurus' production infrastructure in collaboration with support and build/delivery platform teams.
  • Drive IaC and automation practices (Terraform, Chef, Git, GitHub Actions, Concourse) to ensure secure, repeatable lifecycle operations.

Requirements

  • Linux/Unix & Programming: Strong, hands-on Linux/Unix experience and proficiency in at least one high-level programming language such as Python, Ruby, Go or similar.
  • Container/Orchestration: Experience with container or VM orchestration platforms such as Kubernetes/Helm/EKS, OpenShift, VMware, or similar.

Compensation

  • $137k-$171k

Company info

  • At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination.
  • We started as a small team of developers determined to bring trust and transparency to car shopping.
  • Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth.
  • In fact, we're the largest and fastest-growing automotive marketplace, and we've been profitable for over 15 years.
  • The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step.
  • That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one.
  • Today, tens of millions of consumers visit CarGurus.com each month, and ~30,000 dealerships use our products.
  • But they're not the only ones who love CarGurus-our employees do, too.
  • We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth.
  • Disrupting a trillion-dollar industry requires fresh and diverse perspectives.
  • Come join us for the ride!
  • CarGurus is seeking a Senior DevOps Engineer to join our Cloud Infrastructure team.
  • This team is responsible for providing a reliable, secure, and consumable AWS based platform for revenue-generating applications and the product engineering teams behind them.
  • In this role you will be a key owner of the cloud platforms that power our global automotive marketplace, and you will help build opinionated, self-service infrastructure that lets engineers ship fast, safely, and with confidence.

This listing is sourced directly from Cargurus Inc.'s careers page and normalized into a canonical job model.