Akanksha Rudrawar

AWS DevOps Engineer with 4.5+ years of experience designing and automating cloud infrastructure across logistics and investment banking domains. Proven track record delivering CI/CD pipelines (Jenkins), Infrastructure as Code (Terraform), container orchestration (Docker, Kubernetes), and AWS security hardening (IAM, VPC, NACLs). Reduced deployment cycle times by 70%+ and eliminated significant manual operational effort through scripting and automation.

Hands-on with monitoring using CloudWatch, Prometheus, and Grafana.

DevOps Engineer at Mphasis Ltd (2025-06 – Present)

• Built and maintained Jenkins CI/CD pipelines for DEV, QA, and UAT deployments — reduced manual release effort b and cut average deployment time.
• Configured Jenkins master-slave setup with 4 build nodes, enabling parallel builds and reducing build queue wait time by 65%.
• Designed and enforced Git flow branching strategy for a team of 8 developers; resolved merge conflicts and maintained repository integrity across production repositories.
• Set up GitHub Webhooks to trigger automated Jenkins builds on every pull request, catching build failures before code is merged.
• Dockerized Java applications for Tomcat deployment, eliminating environment-specific bugs and achieving consistent behaviour across DEV, QA, and UAT.
• Authored Docker files and Docker Compose configurations for multi-container application stacks; managed multi-environment image tagging and versioning on Docker Hub.
• Managed configuration and patching of Linux servers via Ansible playbooks, reducing manual configuration effort by 70% and ensuring consistent server state.
• Configured passwordless SSH between Ansible control node and all managed hosts; built reusable roles for application deployment, user management, and OS hardening.
• Authored reusable Terraform modules for VPC, EC2, S3, IAM, and RDS provisioning; reduced new environment setup time from 2 days to under 1 hour.
• Managed Terraform remote state in S3 with DynamoDB state locking, enabling safe concurrent infrastructure changes across a 5-member DevOps team.
• Maintained all Terraform configurations under Git version control with peer-review workflows, ensuring auditability of every infrastructure change.
• Deployed and managed containerized microservices on AWS EKS, configuring Horizontal Pod Autoscaler (HPA) to handle 3x traffic spikes without manual intervention.
• Set up Prometheus and Grafana dashboards for Kubernetes cluster monitoring; created alerts for CPU > 80%, memory pressure, and pod restart thresholds.
• Integrated Kubernetes rolling deployments into Jenkins pipelines, achieving zero-downtime releases for production microservices.

Cloud Engineer at WNS Global Services (2022-02 – 2025-03)

• Designed and maintained a high-availability AWS architecture for a logistics billing application using EC2, ELB, and Auto Scaling — supporting 99.9% uptime SLA for invoice processing workflows handling monthly transactions.
• Automated 15+ repetitive billing and reconciliation tasks using Shell,Saving the operations team approximately 10 hours per week and eliminating weekly overtime.
• Configured and secured S3 buckets for billing data storage: implemented bucket policies, SSE-S3 encryption, and lifecycle rules transitioning data to Glacier after 90 days, reducing storage costs by ~30%.
• Built CloudWatch dashboards and alarms for 20+ EC2 instances, integrating with Auto Scaling policies to reduce over-provisioning and cut compute costs by ~15%.
• Enforced IAM least-privilege access across 30+ users and roles; designed VPC architecture with public/private subnets and NACLs to segregate and secure application traffic — passed all quarterly security audits with zero critical findings.
• Monitored AWS account activity via CloudTrail.
• Managed multiple AWS storage services based on workload requirements: S3 for billing data lake and backups, EBS for database block storage, EFS for shared application configuration across EC2 instances.

Bachelor of Engineering – Savitribai Phule Pune University (2020)