Rashmitha Chatla

Summary

Results-driven Senior Engineer with 6+ years of experience building cloud platforms, developer tooling, CI/CD pipelines, Secrets Management solutions and automation that improve engineering productivity. Experienced in AWS, Kubernetes, Terraform and Python, with a strong focus on reducing manual toil through reusable platform capabilities, Golden Path infrastructure, and self-service automation. Authorized to work in the UK with unrestricted work rights, no visa sponsorship required.

Overview

years of professional experience

Work history

Senior DevOps Engineer

QUALCOMM

2024.03 - 2026.05

Architected reusable Terraform modules and Terragrunt templates that enabled one-click environment provisioning, establishing self-service infrastructure cloud provisioning while aligning with platform guardrails, security standards and reducing environment setup time by 30%.
Implemented Karpenter for Amazon EKS cluster autoscaling, reducing compute costs by 20% across three production environments supporting 50+ microservices.
Led the setup of new AWS development environments from the ground up, provisioning VPCs, subnets, IAM, and networking while collaborating with internal IT and security teams.
Designed and maintained CI/CD platforms supporting 50+ microservices, introducing reusable deployment patterns, blue-green releases and automation that reduced release cycles by 30% while improving developer productivity.
Contributed to the rollout of a centralized observability platform using OpenTelemetry, Grafana, and Mimir, providing unified metrics, logs, and traces across multiple AWS accounts and improving production troubleshooting.
Led Amazon MSK optimisation initiatives by tuning partition and retention policies, right-sizing clusters, and performing platform upgrades, delivering approximately 20% annual infrastructure cost savings.
Migrated production workloads to AWS Graviton instances and introduced automated lifecycle management for non-production environments, reducing cloud infrastructure costs while enabling one-click environment restoration within 30 minutes.
Served as the primary on-call engineer for production services, leading incident response, troubleshooting critical issues, performing root cause analysis (RCA), and driving reliability improvements across the platform.

DevOps Engineer - III

ORACLE

2022.04 - 2024.02

Reduced Object Storage test application build time by 60% by implementing parallel test execution strategies across multiple test suites.
Optimized Docker build pipelines by restructuring Makefiles and enabling parallel image builds, reducing build times by 75%.
Improved CI/CD platforms through automation, parallel execution and reusable workflows, accelerating developer feedback and reducing build times.
Led the automated deployment of validated build images across development and test environments, improving deployment consistency, release reliability, and operational efficiency.
Developed Python tooling to automate build failure detection, notify code owners automatically and improve engineering productivity by reducing MTTR.
Improved Java test application stability by reducing flaky test failures by approximately 60%, increasing CI reliability and deployment confidence.
Served as the primary on-call engineer for Oracle Cloud Object Storage, responding to production incidents, troubleshooting critical issues, and maintaining service availability.

DevOps Engineer - II

ADOBE

2019.07 - 2022.04

Promoted from Devops Engineer - I to Devops Engineer - II within Adobe in recognition of consistently delivering high-impact automation solutions, driving platform reliability, and accelerating engineering productivity.
Developed a Python-based low-code/no-code automation platform using StackStorm, enabling engineering teams to generate 60–70% of workflow automation code and significantly improving developer productivity.
Designed, implemented, and deployed production-grade event-driven self-healing workflows using StackStorm sensors, webhooks, and scheduled jobs, enabling automated detection, remediation, and reducing manual operational effort.
Reduced deployment time by 50% by optimizing CI/CD pipelines and automating release workflows.
Designed and implemented Python, MongoDB, and ZooKeeper automation solutions with XML parsing and data validation pipelines, improving workflow reliability.
Designed secure secret consumption patterns for automation workflows using HashiCorp Vault APIs, enabling scalable and secure authentication for production systems.
Received the Adobe High Five Award (Q2 FY2020) in recognition of outstanding technical contributions and engineering excellence.

Education

Bachelor of Engineering Technology - Computer Science And Engineering

B V Raju Institute of Technology

Hyderabad, India

Skills

Cloud & Container Platforms: AWS, Kubernetes, Docker, Karpenter
Infrastructure as Code: Terraform, Terragrunt, Helm, HashiCorp Vault
CI/CD & Automation: GitHub Actions, Jenkins, Blue-Green Deployments, Pipeline & Release Automation
Programming & Scripting: Python, Java, Bash

AI Engineering: Claude, GitHub Copilot, AI-assisted Development, Prompt Engineering
Observability & Reliability: OpenTelemetry, Grafana, Prometheus, Mimir
Site Reliability Engineering: Incident Management, Root Cause Analysis (RCA), Monitoring, Production Support, Cloud Cost Optimization
Event-Driven Automation: StackStorm

Timeline