SRE - Kubernetes as a Service

2 weeks ago


New York, United States TEKREQS, Inc. Full time
Job DescriptionJob Description

SRE Software Developer - Kubernetes as a Service
Location: New York, NY

Have the opportunity to work as a Software Developer / Service Reliability Engineer (SRE) for a Software Product firm located in New York City. This role is a hybrid of systems engineering and software engineering. You will be responsible for building out Kubernetes-as-a-Service product and be trusted to improve the stability and availability of the production environment through automation. This team is responsible for Systems Monitoring, Provisioning, Configuration Management, Orchestration, Capacity Management, Deployment and Rollback, Incident Management, and SDLC practices.

The Kubernetes Infrastructure team is responsible for infrastructure and standards for application deployment on Linux containers. This team's primary responsibility is building and maintaining the company's Kubernetes-as-a-Service platform that will manage containerized applications. Additionally, the team is establishing best practices and tooling for containerized applications leveraging cloud native principles.

What's In It For You?
You'll work with modern open-source tooling while maintaining mission-critical systems hosting a wide array of applications. This team will depend on you to advise on design, architecture, and scaling of Kubernetes infrastructure and you'll play a critical role in improving the stability of container application and infrastructure deployment.

You'll Need to Have (Required Skills):
• Demonstrated experience programming and testing Python, Ruby or Go / Golang
• Experience working in a 24/7 production engineering organization
• Understanding of Linux container principles and best practices
• Ability to listen, communicate, evaluate, problem solve, multi-task, and prioritize in a high-pressure, mission-critical, and rewarding team environment.

We'd Love to See (Any of the following skills would be considered a plus):
• Deep expertise troubleshooting complex distributed systems
• Understanding of cloud native technologies like Prometheus, Kubernetes and Envoy
• Experience writing RESTful API services or self-serve tooling
• Experience with creating and improving documented procedures and/or playbooks
• Working knowledge of Chef, Puppet, Ansible, or Salt
• Familiarity with open source configuration, orchestration, and CI/CD tools
• Deep understanding of TCP/IP and Unix networking, Linux kernel performance (virtual memory and process scheduling)



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