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.