Cloud-Native / Service Mesh Platform Engineer
US Tech Solutions, Inc.
Pittsburgh, PA, United States
about 2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$90,000.0 - $100,000.0
Working hours
Regular working hours
Job source
Tech stack
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
+2 more
Build Management
Kubernetes
Job 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.
Requirements
- 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.
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