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
What we need to see:
5+ 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
B.S. degree in Computer Science or related technical field (or equivalent experience)
Detail oriented with great communication and documentation skills
Ways to stand out from the crowd:
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
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