Aishwarya Sailaja

DevOps/DevSecOps Engineer with 5+ years of IT experience, specializing in automating and optimizing cloud-native infrastructure. Proven ability to design, implement, and manage CI/CD pipelines, Infrastructure as Code, and AWS cloud solutions. Expertise in Kubernetes, Docker, Terraform, and monitoring tools. Passionate about improving system reliability, security, and scalability.

Systems Engineer at Tata Consultancy Services (2024-08 – Present)

• Designed and implemented DevOps automation solutions for GE Healthcare data platforms supporting enterprise-scale, cloud-native applications.
• Developed and maintained CI/CD pipelines using Jenkins, Git, and Maven to automate build, test, and deployment workflows, reducing deployment time by 30%.
• Implemented Docker and Kubernetes with Terraform-based IaC to provision and manage AWS infrastructure, improving consistency and reducing provisioning time by 25%.
• Implemented CloudWatch, Prometheus, and Grafana monitoring; led incident triage and RCA, cutting incidents by 40% and meeting SLAs.
• Integrated DevSecOps practices into CI/CD pipelines, including secure access control, secrets handling, and compliance-aligned deployments.

DevOps Engineer at Impetus technologies pvt ltd (2022-12 – 2024-07)

• Designed and implemented DevOps automation solutions for GE Healthcare data platforms, enabling faster and more reliable deployments for enterprise-scale, cloud-native applications.
• Containerized applications using Docker and orchestrated workloads on Kubernetes, ensuring high availability, scalability, and fault tolerance for microservices architectures.
• Provided production support through incident triage, troubleshooting, and root cause analysis, ensuring system stability and reliability and meeting SLAs.
• Applied AWS security fundamentals, including IAM role-based access, least-privilege permissions, logging, and audit-ready monitoring.

Redshift Administrator at Capgemini Technology (2020-10 – 2022-12)

• Optimized Amazon Redshift performance by analyzing query execution plans, workload patterns, system tables, and CloudWatch metrics, improving query performance by 20% and resolving performance bottlenecks.
• Managed Amazon Redshift WLM, including queues, user groups, query priorities, and concurrency scaling; performed SQL-based query optimization and automated VACUUM, ANALYZE, system table loads, and deep copy using stored procedures with parallel execution.
• Implemented backup, recovery, high availability, and disaster recovery using snapshots and restore testing; utilized Linux and shell scripting for monitoring, automation, and production troubleshooting.

B.E in Computer science and engineering – Sathyabama, Sathyabama University (2020-05)