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# Cloud-Native / Service Mesh Platform Engineer

- **Company:** US Tech Solutions, Inc.
- **Location:** Pittsburgh, PA, United States
- **Salary:** $90,000.0 - $100,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, C++ (Programming Language), Cloud Engineering, Computer Programming, Distributed Systems, Network Architecture, Open Source Technology, TCP/IP, Cloud Platform System, Istio, Multi-Cloud, Build Management, Kubernetes
- **Published:** July 23, 2026
- **Apply:** https://dejobs.org/x/x/2E427D6E91B04FE0B1E764FB248BC97A/job/

## About the Role

* Deep expertise in Kubernetes.
 * Strong programming background (Go preferred; C++ or systems-level exposure a plus).
 * Strong experience with Istio, Envoy, and service mesh internals.
 * Networking expertise (TCP/IP, mTLS, service-to-service communication).
 * Experience across cloud environments (AWS / GCP / Azure).

Experience (Desired):

 * Solid understanding of distributed systems concepts (consistency, reliability, scalability).

Education:

 * Bachelor's or degree in or a related field or equivalent work experience.

## Description

* We're partnering with a fast-growing, cloud-native technology organization building next-generation enterprise service mesh platforms and we are looking for someone who enjoys working at the intersection of cloud-native architecture, networking, and large-scale distributed systems (This is more than a Kubernetes admin role - it's hands-on platform product engineering).
 * If you're passionate about distributed systems, Kubernetes internals, and high-scale networking architecture - this could be your next big move.

Responsibilities:

 * Design and build modern service mesh platforms.
 * Work across management plane and data plane architectures.
 * Architect secure, highly-available distributed systems.
 * Build and scale multi-cluster, multi-cloud environments.
 * Contribute to or engage with the Istio / Envoy open-source ecosystem.
 * Building and enhancing enterprise-grade service mesh capabilities.
 * Developing features across control plane & data plane.
 * Improving security, observability, and networking performance.
 * Supporting complex enterprise Kubernetes deployments.
 * Collaborating with customers and engineering teams on advanced technical challenges.


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