What will you do at Fynd? - 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.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. 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 practices.