Principal Linux Platform Engineer - with Kubernetes

Overview

Hybrid
$231,000 - $250,000
Full Time

Skills

Linux
Kubernetes
Python
TCP/IP
Terraform
Continuous Delivery

Job Details

NO SPONSORSHIP - NO OPT

Principal Linux Platform Engineer

SALARY: NYC: $231 - 250k plus 17.5% bonus

LOCATIONS: NY, NY (state Street)

Hybrid, 2 days onsite and 3 days remote

Looking for a candidate with 10 years linux systems engineering AND deep Kubernetes. IaC Terraform on prem and AWS Google Cloud Platform Cloud Python or Go for automation integration with APIs deep understanding of networking TCPIP/DNS financial or high performance real time experience

We are seeking a Principal Linux Platform Engineer to lead the design, automation, and scalability of our global infrastructure that powers mission-critical financial applications. The ideal candidate has deep expertise in Linux systems, Kubernetes orchestration, and modern development practices, and thrives in high-performance, regulated environments.

The ideal candidate has:

10+ years of professional experience in Linux systems engineering, ideally Red Hat Enterprise Linux (RHEL) or derivatives.

5+ years of experience architecting and operating enterprise-grade Kubernetes platforms, capable of influencing technical direction, setting engineering standards, and serving as the technical authority for our Kubernetes strategy; must have hands-on experience deploying and managing clusters in bare-metal and on-premises environments (self-managed or cloud-native distributions such as EKS, GKE, or OpenShift).

Strong proficiency with Python or Go for automation, tooling, and integration with APIs.

Deep understanding of networking (TCP/IP, DNS, load balancing) and security fundamentals (RBAC, TLS, secrets management).

Expertise with CI/CD tooling (Jenkins, GitHub Actions, ArgoCD, Tekton, etc.) and artifact lifecycle management (Harbor, Pulp, or Artifactory).

Proven experience with IaC (Terraform, Pulumi, or Ansible/SaltStack).

Familiarity with container image lifecycle management, base image hardening, and SBOM compliance.

Exposure to on-prem and hybrid cloud environments (AWS, Google Cloud Platform, or private cloud).

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