Kubernetes Engineer

Description:
You will be responsible for the stream processing platform used for analytics and machine learning of worldwide service and Search events. We process a triple digit billion events per day. To run our environment efficiently, we drive for proper monitoring, alerting and automation. The team's goal is to ensure the reliability and performance at the highest level.

As a member of the AIML Data Infrastructure Team, your responsibilities include:

1. Manage one of CLIENT's largest infrastructure supporting hundreds of millions of customers
2. Diagnose, fix, improve, and automate complex issues across the entire stack to ensure maximum uptime and performance
3. Take part in designing and building out our next generation realtime data processing infrastructure and push our services to the next level
4. Harden and launch new data models and data pipelines in production
5. Establish SLA's for all data sets and applications running in production
6. Advise other teams (within and outside of SERVICE) on proper integration of our platform
7. Build relationships with Data Scientists, Product Managers and Software Engineers to understand data needs
8. Manage the infrastructure which powers ETL, Analytics, and Privacy Efforts within AIML

Skills:
kubernetes, Aws, eks, ci/cd, clustering, infrastructure as code, github, spark, flink, automation, deployment, gks, load balancing, monitoring tools, alerting dashboard, Infrastructure, Cloud, Devops

About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.