Infrastructure & Platform Engineer Jobs in New York, USA

Looking for an infrastructure & platform engineer job in New York? Choose from 85 open roles at 39 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

85 Open roles
39 Companies hiring
221K Average salary

What do Infrastructure and platform engineers in New York work on?

The roles on this page span a wide spectrum of infrastructure disciplines. Some focus on provisioning and operating large-scale compute — for instance, Lightning AI's Senior Infrastructure Software Engineer involves bare-metal GPU lifecycle management using PXE, BMC, and IPMI alongside Python automation. Others sit closer to platform reliability and developer tooling, such as building enterprise-scale SaaS integrations and automation workflows at Braze.

A subset of roles ties infrastructure directly to AI and safety work. Reflection AI requires building sandboxed evaluation environments with strict access controls and audit logging. At the other end, impact.com wants someone building LLM-orchestrated agentic workflows for internal operations teams. Business systems infrastructure also appears, with Ramp seeking deep Salesforce CPQ and API integration expertise. Distributed systems, network engineering, cloud platform ownership, and ML compiler work all feature among the broader sample titles, reflecting how varied the function is across these employers.

Skills and experience employers ask for

Skills counts reflect how often a term appears in posting descriptions across the full set on this page, not that every employer requires it. Python and Kubernetes appear most widely, followed by AWS, APIs, and Terraform. Cloud platforms from multiple providers are mentioned across the sample, and a meaningful minority of postings reference LLMs, agents, and evaluation tooling, suggesting AI-adjacent infrastructure work is common but not universal here.

Python 58%
Kubernetes 48%
APIs 42%
AWS 39%
Terraform 28%
Agents 26%
GCP 25%
Java 22%
LLMs 21%
CI/CD 21%
Evaluation 20%
Azure 20%
TypeScript 20%
C\+\+ 20%

Infrastructure & Platform Engineer roles that state a salary

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

New York office, hybrid or remote?

Just over half of the postings on this page specify fully onsite work, making it the most common stated arrangement. A sizeable portion indicate hybrid, though the specific split of days in-office is not stated in the postings themselves. A smaller number are listed as fully remote. No postings left the work mode unstated, which is less common in job data generally. Candidates should verify current arrangements directly with each employer, as stated modes can change after posting.

Make your application specific to the work

  1. Review seniority and experience bands Most postings on this page target senior or lead engineers, with only a small number aimed at junior or intern level. Check the years-of-experience expectations carefully, as some postings state explicit ranges such as four to eight years.
  2. Check pay transparency where available Only a minority of postings include advertised salary ranges; the figures shown are the employer's stated bands for those specific roles and should not be treated as representative of all postings here.
  3. Match your infrastructure specialism Roles here cover bare-metal compute, cloud platforms, developer experience, AI safety tooling, and business systems — so tailor your application materials to the specific domain rather than applying a generic infrastructure narrative.
  4. Confirm visa and remote eligibility directly Neither visa sponsorship availability nor remote eligibility beyond what is stated in each posting can be inferred from the employer name or location; contact the hiring team or check the full posting for those details.

Questions about Infrastructure & Platform Engineer jobs in New York

Only a minority of postings on this page include advertised pay. Among those that do, the stated ranges vary considerably by role and seniority — from around 153,000 dollars at the lower end of one posting to over 325,000 dollars at the top of another. These figures are individual advertised bands, not a market-wide survey.

A small number of postings on this page are listed as fully remote. The majority specify either hybrid or fully onsite arrangements. Where a posting does not state a mode, you would need to ask the employer directly.

Kubernetes is mentioned in a large proportion of the postings on this page, making it one of the most commonly referenced skills in descriptions. However, skills counts reflect mentions rather than formal requirements, so the weight given to it will vary by role.

Senior and lead-level roles make up the largest identifiable portion of postings on this page. A smaller number are listed without a clear seniority signal in the title, and only a couple target intern or junior candidates. One manager-level and one executive-level posting also appear.

Not universally. LLMs, agents, and evaluation tooling are mentioned in a meaningful minority of postings, and some roles — such as safety evaluations infrastructure or AI-powered internal tooling — are explicitly AI-adjacent. Others, such as network engineering or Salesforce integration work, do not reference AI at all.

Jobs checked 6 hours ago. · Guide reviewed 9 September 2026.