• Strong experience with Amazon Web Services (AWS).
• Hands-on expertise with AWS services: Glue, Redshift, Lambda, MSK, Step Functions, S3.
• Proficiency in Beanshell, Java, Python, SQL, and data modeling.
• Experience with ETL/ELT processes and data pipeline orchestration.
• Familiarity with infrastructure-as-code tools such as Terraform (preferred).
• Deep knowledge in configuration across AWS components and performance insights from CloudWatch.
• Understanding of Tenant Configuration Management (TCM) in AWS environments.
• Strong understanding of TCP/IP networking, load balancing, and common protocols (DNS, HTTPS).
• Solid experience in GitHub pipeline implementation.
• Hands-on experience with application monitoring and logging tools (e.g., Datadog, New Relic, AppDynamics, Application Insights, ELK, Prometheus).
• Strong knowledge of web servers and databases.
• Proven expertise with Docker and Kubernetes.
• Strong scripting skills and understanding of software development life cycle models (SDLC).
• Deep understanding of DevOps practices and automation.
• Experience in high-traffic, highly scalable systems.
• Knowledge of release automation (packaging, dependencies, promotion, deployment, compliance).
• Ability to collect, evaluate, and analyze performance metrics.