Senior Lead AWS DevOps Engineer

Experience: 8-10 Years (Preferable: minimum 2-3 years in Banking / Financial Services technology and Media-Publishing/ Ad-tech domain)Educational Qualification: Bachelors or Masters degree in Computer Science, Information Technology, or related field.Collaboration:- Work closely with development, operations, and other cross-functional teams to foster collaboration and effective communication.Linux/Unix Expertise:- Possess extensive expertise in navigating and contributing to software development environments based on Linux/Unix systems.AI/ML Workloads:- Demonstrate hands-on experience on AI/ML workload integrations and executions.Kubernetes Management:- Implement and maintain Kubernetes clusters, showcasing a deep understanding of orchestration, scaling, and resource management.CKA Certification:- Leverage Certified Kubernetes Administrator (CKA) credentials to ensure best practices in Kubernetes administration, troubleshooting, and performance tuning.Multi-Cloud Environment:- Work seamlessly in a multi-cloud environment, specifically AWS and Azure.Microservices Development:- Execute hands-on development and deployment of microservices and containerized applications.Database and CI/CD Management:- Manage databases within Kubernetes clusters and establish continuous delivery pipelines using tools like Jenkins, GitLab CI/CD, and Travis CI.Quality Assurance:- Deliver high quality, scalable, and resilient solutions that are documented and thoroughly tested.Automation and IaC:- Employ scripting for automation and demonstrate proficiency in building and managing systems, infrastructure, and applications through automation using infrastructure as code, with notable experience in Terraform.Operational Tooling:- Possess an understanding of operational concepts and tooling, including monitoring platforms such as Grafana or Nagios, log aggregation solutions like Splunk, and distributed tracing.Continuous Learning:- Stay current with the latest trends, tools, and best practices in Cloud and DevOps.Professional Experience:- Minimum 4 years of experience in any of the roles - DevOps, build release, integration, configuration engineer.Linux/Unix Proficiency:- 4+ years of strong experience working with Linux/Unix software development environments.AI/ML Integration:- Solid practical exposure to integrating and executing AI/ML workloads. Containerization Expertise:- 4+ year experience in Docker and Kubernetes with practical expertise (holding CKA Certification), and familiarity with Helm.Cloud Infrastructure:- Expertise in networking, security, and cloud platforms (AWS, Azure, GCP, etc.).Database Proficiency:- 3+ years' experience in databases NoSQL & SQL - MongoDB, SnowFlake, PostgreSQL, DeltaLake, Parquet.CI/CD Tools:- Strong hands-on experience in CI/CD tools like GitLab, Jenkins, Nexus, Artifactory.Scripting and Monitoring:- Strong hands-on experience in scripting tools (Linux, Terraform, Python and shell) and in Monitoring tools (Grafana, Prometheus).Networking Knowledge:- Strong understanding of networking, DNS, and Restful services. (