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
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