Responsibilities:

• Work with development teams to ensure that applications have scalability and reliability built-in from day one- agile is second nature to you and you’re excited to work in scrum teams and represent the DevOps perspective

• Participate in software design discussion to improve scalability, service reliability, cost, and performance- you’ve helped create services that are critical to their customers’ success

• Deploy automation for provisioning and operating infrastructure at large scale. You are experienced in Infrastructure as Code concepts and have put them into production

• Partner with teams to improve CI/CD processes and technology - Helping teams in delivering value early is what you strive for

• Mentor members of the team on large scale cloud deployments- you’re an expert in deploying in the cloud and can bring a teaching mindset to help others benefit from your experience

• Drive the adoption of observability practices and a data-driven mindset- you love metrics, graphs, and gaining a deep understanding of why things happen in a system, helping others gain visibility into the things they build

• Setup processes like on-call rotations and runbooks to continue supporting the MS’s owned by the development teams while finding ways to reduce the time to resolution and improve the reliability of services

Required Qualifications:

• Bachelors/Masters degree in Computer Science

• 14+ years of industry experience in engineering

• 7+ years of working with Microservices architectures on Kubernetes

• HandsOn experience with container native tools like Helm, Istio, Vault running in Kubernetes

• Experience with public cloud AWS at medium to large scale

• Proficient in CI/CD platforms like GitlabCI, Jenkins, etc…

• Drive enhancement of observability by implementing distributed tracing, logging standards, dashboard standardization, profiling, and other relevant practices to meet our Service Level Objectives (SLOs)

• HandOn experience with Monitoring tools - Prometheus, Grafana etc.

• Expertise in designing, analyzing, and troubleshooting large-scale distributed systems

  • Experience with, Kafka, Postgres, MYSQL tuning and performance is a plus