Run the production environment by monitoring availability and taking a holistic view of
system health.
 Improve reliability, quality, and time-to-market of our suite of software solutions
 Be the 1st person to report the incident.
 Debug production issues across services and levels of the stack.
 Envisioning the overall solution for defined functional and non-functional requirements,
and being able to define technologies, patterns and frameworks to realise it.
 Building automated tools in Python / Java / GoLang / Ruby etc.
 Help Platform and Engineering teams gain visibility into our infrastructure.
 Lead design of software components and systems, to ensure availability, scalability,
latency, and efficiency of our services.
 Participate actively in detecting, remediating and reporting on Production incidents,
ensuring the SLAs are met and driving Problem Management for permanent remediation.
 Participate in on-call rotation to ensure coverage for planned/unplanned events.
 Perform other task like load-test & generating system health reports.
 Periodically check for all dashboards readiness.
 Engage with other Engineering organizations to implement processes, identify
improvements, and drive consistent results.
 Working with your SRE and Engineering counterparts for driving Game days, training
and other response readiness efforts.
 Participate in the 24x7 support coverage as needed Troubleshooting and problem-solving
complex issues with thorough root cause analysis on customer and SRE production
environments
 Collaborate with Service Engineering organizations to build and automate tooling,
implement best practices to observe and manage the services in production and
consistently achieve our market leading SLA.
 Improving the scalability and reliability of our systems in production.
 Evaluating, designing and implementing new system architectures.
Some specific Requirements:
 B.E./B.Tech. in Engineering, Computer Science, technical degree, or equivalent work experience
 At least 3 years of managing production infrastructure. Leading / managing a team is a huge plus.
 Experience with cloud platforms like - AWS, GCP.
 Experience developing and operating large scale distributed systems with Kubernetes, Docker
and and Serverless (Lambdas)
 Experience in running real-time and low latency high available applications (Kafka, gRPC, RTP)
 Comfortable with Python, Go, or any relevant programming language.
 Experience with monitoring alerting using technologies like Newrelic / zybix /Prometheus /
Garafana / cloudwatch / Kafka / PagerDuty etc.
 Experience with one or more orchestration, deployment tools, e.g. CloudFormation / Terraform /
Ansible / Packer / Chef.
 Experience with configuration management systems such as Ansible / Chef / Puppet.
 Knowledge of load testing methodologies, tools like Gating, Apache Jmeter.
 Work your way around Unix shell.
 Experience running hybrid clouds and on-prem infrastructures on Red Hat Enterprise Linux /
CentOS
 A focus on delivering high-quality code through strong testing practice