Infrastructure & Platform Engineer Jobs in Seattle, USA

Looking for an infrastructure & platform engineer job in Seattle? Choose from 27 open roles at 12 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

27 Open roles
12 Companies hiring
โ€” Average salary

What do Infrastructure and platform engineers in Seattle work on?

The roles on this page span a wide range of infrastructure specialisms. Some focus on distributed database systems and cloud platform reliability, as with the Stripe database infrastructure role, which involves deploying solutions across AWS and Azure. Others sit closer to operating systems and government cloud, such as the Amazon Windows Systems Engineer post, which covers Active Directory, DNS, and Ansible automation in isolated environments.

A notable cluster involves ML and AI infrastructure: the Anduril Staff AI Infrastructure Engineer builds training orchestration and model serving for autonomous systems, while the Maven Clinic Staff Software Engineer leads cloud architecture for a healthcare platform. Defence and aerospace work appears in several postings, including the Amazon Prime Air Perception Systems Engineer and the Shield AI network engineer role, which requires zero-trust architecture and DoD cybersecurity experience.

Skills and experience employers ask for

Python and Kubernetes are the most consistently mentioned skills across these postings, appearing in well over half. AWS is mentioned in roughly half, with GCP and Azure also featuring. GPU and PyTorch mentions reflect the ML infrastructure lean of several roles. Java, Terraform, and Docker appear in a minority. These are description mentions across all postings, not stated requirements, and the sample size is small.

Python 70%
Kubernetes 59%
AWS 44%
GCP 33%
GPUs 30%
APIs 30%
Java 26%
Azure 22%
A/B testing 22%
Terraform 22%
PyTorch 19%
LLMs 19%
Evaluation 19%
Docker 19%

Infrastructure & Platform Engineer roles that state a salary

The employers' own advertised ranges, for individual roles at different levels โ€” not an average and not a market rate.

Seattle office, hybrid or remote?

Most postings on this page are listed as onsite, with a smaller portion offering hybrid arrangements and a minority fully remote. No postings have unknown work-mode information, so the split is fully stated. Candidates should read each posting individually, as onsite requirements vary โ€” some roles involve secure or classified environments where remote work is unlikely to be negotiable, while others may have more flexibility within a hybrid arrangement.

Make your application specific to the work

  1. Check security clearance requirements Several postings explicitly require an active clearance or reference government cloud and DoD standards. Confirm your eligibility before applying, as sponsorship for clearances is not stated in these postings.
  2. Match your experience level Seniority varies across these postings, from an intern-level role through to staff and senior-staff positions. The experience ranges stated in descriptions โ€” such as five years, seven-plus years, or eight-plus years โ€” are good first filters.
  3. Review stated degree requirements Some postings, such as the Stripe database role, explicitly list a Bachelor's degree in Computer Science or a related field. Others do not state a requirement, so check each posting individually rather than assuming.
  4. Prepare a skills-matched application Python and Kubernetes are mentioned across a large proportion of these postings, but each role has distinct technical context โ€” ML pipelines, Windows systems, network architecture, or drone perception โ€” so tailor your application to the specific stack described.

Questions about Infrastructure & Platform Engineer jobs in Seattle

Only one posting on this page includes an advertised pay range: OpenAI's Software Engineer, Infrastructure โ€” Core Experimentation, listed at $347,000โ€“$385,000. The remaining postings do not state compensation, so salary for most roles is not known from these listings.

The employers represented in these postings include Anthropic, Anduril Industries, Lightning AI, Palantir, Amazon, Stripe, Airtable, Metropolis, and others. The full list is shown in the employer breakdown on this page.

A minority of postings are listed as remote, a portion as hybrid, and most as onsite. Exact work-mode details are stated per posting, and some onsite roles involve secure environments where remote work is not an option.

Several postings explicitly involve ML infrastructure, including training pipelines, GPU compute, and model serving โ€” particularly those from Anduril Industries, Anthropic, and Lightning AI. Other postings focus on cloud platform reliability, networking, or systems administration with no ML component stated.

The postings include lead, senior, and senior-staff level roles, as well as at least one intern and one junior-level position. A significant portion do not state a seniority level explicitly, so the stated years of experience in each description is the more reliable guide.

Jobs checked 9 hours ago. ยท Guide reviewed 9 September 2026.