Senior DevOps Engineer

We are looking for a Senior DevOps Engineer to join our Data and Application Services team to improve its growing services infrastructure. At the core of our application services platform is our multi-tenant Kubernetes platform that is designed to run a variety of inhouse application services. You will be working with a team of passionate and skilled engineers that are continuously working to provide better tools to build and manage this infrastructure. Our team is a mix of varying levels of experience and CS backgrounds. We need a motivated, hardworking and focused individual who has a real passion for operational excellence, data systems, and automation.

What You'll Be Doing

• Own the services you build working with cross functional teams
• Comfortable with frequent code testing and deployment
• Continuously improve infrastructure provisioning and management using automation
• Identify areas to improve service resiliency through industry standard practices
• Support a globally distributed, multi-cloud hybrid environment - AWS, GCP and On-prem
• Determine root-cause for production level incidents and write corresponding high-quality RCA reports
• Ensure the highest level of up-time and Quality of Service (QoS) to internal customers through operational excellence
• Define service level objectives (SLOs) and service level indicators (SLIs) to represent and measure service quality
• Participate in team's on-call rotation
  
  

• B.S. degree in Computer Science or related technical field (or equivalent experience)
• 7+ years in operating services including web servers, load balancers, relational/non-relational databases, messaging systems and storage solutions
• 3+ years coding/scripting in at least two high level programming languages - Python, Go, Ruby, Groovy etc.
• Deep understanding of linux operation system and TCP/IP fundamentals
• Expertise with at least one major cloud service provider- AWS, GCP, Azure
• Proficient in modern CI/CD techniques, GitOps and Infrastructure as Code(IaC)
• Hands on experience running production quality observability stacks
• Creative problem solver with excellent debugging skills
• Detail oriented with great communication and documentation skills
  
  

• Linux certification from a well known vendor - RedHat, Oracle etc.
• Prior experience managing large scale Kubernetes deployment in production
• Strong skills in modern container networking and storage architecture