Infrastructure & Platform Engineer Jobs in Bellevue, USA

Looking for an infrastructure & platform engineer job in Bellevue? Choose from 20 open roles at 6 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

20 Open roles
6 Companies hiring
393K Average salary

Companies hiring Infrastructure and platform engineers in Bellevue

What do Infrastructure and platform engineers in Bellevue work on?

The roles on this page cluster around building and operating large-scale compute infrastructure, with a strong emphasis on cloud platforms, orchestration, and GPU-backed workloads. Several titles point to Kubernetes-focused engineering, fleet management, and core infrastructure at the systems level. Others involve data infrastructure services, SaaS infrastructure, and server fleet operations.

The IT Systems Engineer: Cloud Infrastructure role at CoreWeave centres on managing cloud landing zones, IAM, and infrastructure-as-code across multiple cloud providers, with mentoring responsibilities expected at the seven-to-ten-year experience level.

The Senior Software Engineer - AI Infrastructure Performance Insights & Observability position involves building observability pipelines that surface GPU and distributed workload telemetry as real-time metrics, including anomaly detection and data lake architecture close to hardware.

One posting, Senior Product Marketing Manager, AI Training Infrastructure, sits outside pure engineering, focusing on go-to-market strategy and product messaging for infrastructure products rather than hands-on building.

Skills and experience employers ask for

The skills counts reflect mentions in posting descriptions across this sample, not formal requirements. Kubernetes and Python appear in the majority of these postings, as do API-related skills. Cloud platforms โ€” AWS, GCP, and Azure โ€” each appear in a meaningful minority. GPU-related skills, Terraform, CI/CD, and agent frameworks appear less frequently. C++, CUDA, and LLM mentions are sparse, suggesting they matter for specific roles rather than across the board.

Python 70%
Kubernetes 65%
AWS 55%
APIs 50%
GCP 45%
Azure 35%
GPUs 35%
Terraform 35%
CI/CD 25%
Agents 20%
Docker 15%
Spark 15%
C\+\+ 15%
Publications 15%

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.

Bellevue office, hybrid or remote?

The clear majority of postings on this page are listed as onsite, making in-person attendance the dominant expectation across this sample. A small number are listed as remote, and one is hybrid. No postings have an unknown work mode, so candidates can read the stated arrangement for each role directly. The onsite concentration is notable and worth confirming at application stage, particularly for roles where the posting does not elaborate on flexibility expectations.

Make your application specific to the work

  1. Review which cloud platforms and orchestration tools each posting names, and prepare specific examples of hands-on work with those systems, since multi-cloud and Kubernetes experience appear across much of the sample.
  2. Check the seniority framing carefully โ€” most postings sit at senior, staff, or lead level, so tailor your application materials to reflect the scope of ownership and cross-functional coordination expected at those levels.
  3. Because the majority of roles are listed as onsite in Bellevue, confirm your location situation before applying and address it directly if you are not currently based there.
  4. For GPU infrastructure or AI training roles specifically, gather examples involving distributed systems, observability pipelines, or performance tuning close to hardware, as those themes appear in the more specialised postings on this page.

Questions about Infrastructure & Platform Engineer jobs in Bellevue

In these postings, the majority sit at senior or lead level. A smaller portion have no seniority indicator stated in the available data. There are no entry-level titles visible in the sample.

A small number of postings on this page are listed as remote, and one is hybrid. Most are listed as onsite. Candidates should check the specific posting for the role they are interested in rather than assuming flexibility.

Only one posting on this page advertises a pay range: Lambda's Staff Software Engineer - Compute role lists a range of $314,000 to $419,000. No other postings in this sample include advertised compensation figures, so comparisons across the full set are not possible from this data alone.

The employers appearing in these postings are CoreWeave, Robinhood, Amazon, Databricks, and Lambda. CoreWeave accounts for the large majority of postings on this page.

GPU-related skills are mentioned in a minority of postings in this sample. Some roles involve AI infrastructure, observability for GPU workloads, or AI training platforms, but a number of postings focus on general cloud and systems infrastructure without AI-specific requirements stated. It depends on the individual role.

Jobs checked 3 hours ago. ยท Guide reviewed 14 September 2026.