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Sr. Platform Engineer - Kubernetes

ARK Solutions Inc

Remote • 19d ago

Easy Apply

Contract

75 - 80

Sr. Platform Engineer, Kubernetes

Comcast Corp

West Chester, Pennsylvania • 23d ago

Full-time

Senior Platform Engineer

Bestow, Inc

Remote • Today

Full-time

USD 145,000.00 - 170,500.00 per year

Senior Platform Engineer

Quantiphi Inc.

Remote • Today

Full-time

Senior Platform Engineer

Fieldwire

Remote • Today

Full-time

USD 170,000.00 - 195,000.00 per year

Sr. Platform Engineer

Istari Digital

Remote • Today

Full-time

USD 145,000.00 - 190,000.00 per year

Sr. Platform Engineer (Integrations Platform)

Istari Digital

Remote • Today

Full-time

USD 145,000.00 - 190,000.00 per year

Sr. Platform Engineer - Jfrog Expert - Remote US

SitusAMC

Remote • Today

Full-time

USD 110,000.00 - 180,000.00 per year

Senior Platform Engineer (Cloud & AI Platform)- Remote within US

OEConnection

Remote • Today

Full-time

Platform Engineer/ GitOps/Kubernetes

Motion Recruitment Partners, LLC

Philadelphia, Pennsylvania • Today

Easy Apply

Full-time

$130000 - $150000

Senior Platform Engineer

Collectors Universe, Inc.

Remote or Jersey City, New Jersey • Today

Full-time

USD 140,000.00 - 200,000.00 per year

Kubernetes Platform Engineer - Voice Services Modernization

MetaOption LLC

Philadelphia, Pennsylvania • Today

Full-time

Cloud Engineer, Senior Staff Platform Engineer / Subject Matter Expert (SME)

Maxonic, Inc.

Remote • 21d ago

Easy Apply

Contract

Depends on Experience

Network Engineer (Linux & Kubernetes)

Robert Half

Philadelphia, Pennsylvania • Today

Easy Apply

Contract

USD 44.00 - 49.00 per hour

Senior Manager, Data Platform Engineering - Kubernetes - Distributed Systems

ServiceNow, Inc.

Remote or San Diego, California • Today

Full-time

USD 181,200.00 - 317,100.00 per year

Kubernetes Platform Infrastructure Architect

Broadcom Corporation

Remote or Georgia • Today

Full-time

USD 110,800.00 - 177,300.00 per year

Kubernetes Platform Infrastructure Architect

Broadcom Corporation

Remote or New Jersey • Today

Full-time

USD 110,800.00 - 177,300.00 per year

Cloud Platform Engineer Level III (TS/SCI w/ Poly)

Lockheed Martin Corporation

King of Prussia, Pennsylvania • 30+d ago

Full-time

USD 97,100.00 - 171,235.00 per year

Principal Engineer - Kubernetes Platform

Atlassian Inc.

Remote or Seattle, Washington • Today

Full-time

USD 209,700.00 - 273,775.00 per year

Senior GenAI Engineer/Remote

Apetan Consulting

Remote • 6d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior Kubernetes Deployment Consultant

Aziro Technologies LLC

Remote • 7d ago

Easy Apply

Contract

$50 - $70

Senior Product Support Engineer

Eversoft Technologies LLC

Remote • 12d ago

Easy Apply

Full-time

70 - 75

Senior Site Reliability Engineer (Golang / Kubernetes)

Mirantis Inc

Remote • Today

Full-time

Senior SRE / Cloud / Kubernetes / Terraform / 100% Remote

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Full-time

$150000 - $200000

Sr. Systems Engineer - Load Balancing

FreedomPay

Philadelphia, Pennsylvania • Today

Full-time

Lead Data Software Engineer with Databricks with Apache Kafka, Apache Spark, Kubernetes

EPAM Systems

Remote • Today

Full-time

Principal OpenShift Kubernetes Engineer- Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Cloud Infrastructure Engineer - Kubernetes & KubeVirt (REF1242M)

Mirantis Inc

Remote or Texas City, Texas • Today

Full-time

Senior Databricks Platform Engineer

General Dynamics

Remote • Today

Full-time

USD 169,604.00 - 229,464.00 per year

Senior Backend Software Engineer - Agent Platform (Go/Python)

SentinelOne

Remote • Today

Full-time

USD 132,000.00 - 182,000.00 per year

Job Details

Skills

Kubernetes
Network
Cloud
Platform
GitOps

Summary

Title: Sr. Kubernetes Networking Platform Engineer

Location: 100% Remote

Description:
Job Summary:
The Kubernetes Networking Platform Senior Engineer will lead the design, delivery, and operation of networking capabilities across the enterprise Kubernetes platform. This includes critical components such as ingress controllers, service mesh, DNS, and traffic management. This engineer will join a team responsible for building a secure, scalable, and observable networking layer that enables application teams to seamlessly connect, communicate, and expose services within and outside the cluster. The ideal candidate brings deep experience in distributed systems and networking, and is passionate about building platform abstractions that simplify complexity for developers while maintaining enterprise-grade reliability and security. We are transforming the way technology is managed. Automation, DevOps, and product-oriented platform engineering are the new standards as we enable rapid innovation, speed-to-market, and resilient operations. As we are early in this journey, strong technical leadership and the ability to influence and elevate others is critical.

Core Work Activities:
Kubernetes & Platform Engineering:

Design, build, and operate Kubernetes networking capabilities including ingress, service mesh, and DNS
Develop and maintain standardized, self-service networking patterns for application teams
Implement and manage traffic routing strategies, including canary deployments, blue/green releases, and failover mechanisms
Ensure secure communication through network policies, mTLS, and zero-trust principles
Continuously improve platform reliability, scalability, and performance through automation and observability
Troubleshoot complex networking issues across distributed systems and drive root cause analysis
Partner with security, platform, and application teams to define and enforce networking standards
Build tooling and automation to improve developer experience and reduce operational overhead
Maintain clear and consumable documentation for platform users
Stay current with emerging trends in Kubernetes and cloud-native networking

Candidate Profile:
Required:

6+ years of technology experience, including:
- 3+ years in a platform, infrastructure, or systems engineering role
- 3+ years working with public cloud platforms (AWS, Azure, Google Cloud Platform)
Strong experience with Kubernetes, including:
- Networking fundamentals (CNI, service discovery, load balancing)
- Kubernetes networking primitives (Services, Ingress, NetworkPolicy)
Hands-on experience with Kubernetes networking components, such as:
- Gateway and Ingress controllers (e.g., kgateway, NGINX, ALB, or similar)
- Service mesh technologies (e.g., Istio, Cilium, or similar)
- DNS systems (CoreDNS, External DNS, or enterprise DNS integration)
Experience designing and operating highly available, distributed systems (99.99% uptime) with attention to latency, resiliency, and failure modes
Strong troubleshooting skills across layers (application, network, infrastructure)
Proven ability to implement Infrastructure as Code and automation using tools such as Terraform, Helm, and GitOps workflows
Mindset of automate first , continuously identifying and eliminating manual processes
Experience working within a platform-as-a-product model, including:
- Treating internal platform capabilities as products
- Gathering feedback from users (application teams)
- Iterating based on adoption and usability
Strong collaboration habits, including:
- Code reviews as a primary mechanism for quality and knowledge sharing
- Writing clear, user-focused documentation
- Contributing to and evolving engineering standards across teams
Comfort using AI-powered development tools (e.g., coding assistants, copilots, or similar) to accelerate development, troubleshooting, and documentation
Ability to critically evaluate AI-generated output, ensuring correctness, security, and alignment with platform standards
Experience leveraging AI tools to:
- Accelerate Infrastructure as Code development
- Troubleshoot complex system and networking issues
- Improve documentation and developer experience
Strong engineering judgment to determine when to rely on AI vs. when to deep dive manually, especially in complex distributed systems and production incidents

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10295358
Position Id: 9070722
Posted 19 days ago

Fitment

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Contact the job poster

Satyam Mishra

ARK Solutions Inc Recruiter @ ARK Solutions Inc

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Company Description About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment-on-premises, in the cloud, at th

Full-time

Job Details

Skills

Kubernetes
Network
Cloud
Platform
GitOps

Summary

Title: Sr. Kubernetes Networking Platform Engineer

Location: 100% Remote

Design, build, and operate Kubernetes networking capabilities including ingress, service mesh, and DNS
Develop and maintain standardized, self-service networking patterns for application teams
Implement and manage traffic routing strategies, including canary deployments, blue/green releases, and failover mechanisms
Ensure secure communication through network policies, mTLS, and zero-trust principles
Continuously improve platform reliability, scalability, and performance through automation and observability
Troubleshoot complex networking issues across distributed systems and drive root cause analysis
Partner with security, platform, and application teams to define and enforce networking standards
Build tooling and automation to improve developer experience and reduce operational overhead
Maintain clear and consumable documentation for platform users
Stay current with emerging trends in Kubernetes and cloud-native networking

Candidate Profile:
Required:

6+ years of technology experience, including:
- 3+ years in a platform, infrastructure, or systems engineering role
- 3+ years working with public cloud platforms (AWS, Azure, Google Cloud Platform)
Strong experience with Kubernetes, including:
- Networking fundamentals (CNI, service discovery, load balancing)
- Kubernetes networking primitives (Services, Ingress, NetworkPolicy)
Hands-on experience with Kubernetes networking components, such as:
- Gateway and Ingress controllers (e.g., kgateway, NGINX, ALB, or similar)
- Service mesh technologies (e.g., Istio, Cilium, or similar)
- DNS systems (CoreDNS, External DNS, or enterprise DNS integration)
Experience designing and operating highly available, distributed systems (99.99% uptime) with attention to latency, resiliency, and failure modes
Strong troubleshooting skills across layers (application, network, infrastructure)
Proven ability to implement Infrastructure as Code and automation using tools such as Terraform, Helm, and GitOps workflows
Mindset of automate first , continuously identifying and eliminating manual processes
Experience working within a platform-as-a-product model, including:
- Treating internal platform capabilities as products
- Gathering feedback from users (application teams)
- Iterating based on adoption and usability
Strong collaboration habits, including:
- Code reviews as a primary mechanism for quality and knowledge sharing
- Writing clear, user-focused documentation
- Contributing to and evolving engineering standards across teams
Comfort using AI-powered development tools (e.g., coding assistants, copilots, or similar) to accelerate development, troubleshooting, and documentation
Ability to critically evaluate AI-generated output, ensuring correctness, security, and alignment with platform standards
Experience leveraging AI tools to:
- Accelerate Infrastructure as Code development
- Troubleshoot complex system and networking issues
- Improve documentation and developer experience
Strong engineering judgment to determine when to rely on AI vs. when to deep dive manually, especially in complex distributed systems and production incidents

Dice Id: 10295358
Position Id: 9070722
Posted 19 days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Satyam Mishra

ARK Solutions Inc Recruiter @ ARK Solutions Inc

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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