AWS -Site Reliability Engineer
Excellent opportunity for AWS Site Reliability Engineers to be part of our Cloud Infrastructure & Security services practice. Cognizant Infrastructure Services – Provides IT infrastructure & Cloud services for clients across industry verticals, including both Consulting/Professional and Managed Services, across Enterprise Computing, Cloud services, Security Services, DevOps, Data Centres, End User Computing, Service Desk, Network Services and Environment Management Services.<br><br><strong>Key Responsibilities<br><br></strong><ul><li>Design, code, test, and deliver software to automate manual operational work</li><li>Troubleshoot priority incidents, facilitate blameless post-mortems and ensure permanent closure of incidents</li><li>Collaborate with development team throughout the life cycle to help develop software for reliability and scale, ensuring minimal refactoring or changes</li><li>Identify application patterns and analytics in support of better service level objectives</li><li>Design self-healing and resiliency patterns</li><li>Design automated software and product upgrades, change management, and release management solutions</li><li>Collaborate with senior technical leads and mentor junior engineers.</li><li>Design, deploy and manage AWS environments with a focus on automation, scalability and security.</li><li>Build and maintain Infrastructure as Code(IaC) using tools such as Terraform.</li><li>Monitor and optimize system performance, availability, and security, applying observability best practices.<br><br></li></ul><strong>Key Skills And Experience<br><br></strong><ul><li>Must have Strong Hands-on exposure in AWS, Terraform, Python/Bash, CI/CD</li><li>Experience with Infrastructure as code(IaC) and CI/CD(Bitbucket, Jenkins,spinnaker).</li><li>Strong knowledge of containerization and orchestration, including Docker and Kubernetes.</li><li>Strong scripting skills in Python or Bash for automation.</li><li>Proven experience deploying and managing and deep understanding of AWS cloud infrastructure in secure environments.</li><li>Working knowledge of infrastructure components (e.g. routers, load balancers, cloud products, container systems, compute, storage, and networks, VPC, subnets and security groups.)</li><li>Excellent troubleshooting, problem solving and debugging skills.</li><li>Bachelor’s degree or equivalent experience in software engineering discipline</li><li>Nice to have skills - Basic knowledge of AI technologies and prompt engineering to leverage generative AI for enhancing productivity and automating tasks</li></ul>