Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic

Chaitanya Molabanti

New York

Summary

Experienced IT Engineer with strong background in DevOps, Cloud Computing, and Automation. Worked hands-on with tools and platforms like AWS, Azure, GCP, Jenkins, Terraform, Docker, and Kubernetes. Good understanding of setting up and managing CI/CD pipelines, container orchestration, and infrastructure as code. Skilled in deploying and monitoring cloud applications, automating build and release processes, and managing scalable systems in production. Familiar with both Linux and Windows environments, and always focused on improving performance, cost, and security. Supported data teams and ML engineers with automation and deployment of models in secure and reliable cloud setups. Able to handle client meetings, understand project requirements, and give proper solutions in time. Also helped junior engineers with training and onboarding. Strong problem-solving skills and always ready to learn new tools and technologies.

Overview

6
6
years of professional experience
1
1
Certification

Work History

DevOps Engineer

Amazon
11.2024 - Current
  • Led deployment of container-based applications using Amazon EKS, Helm, and AWS ALB, helping ensure smooth application rollout without downtime even during traffic spikes.
  • Configured auto-scaling policies, readiness probes, and rolling deployment strategies to enhance system reliability and performance.
  • Designed and implemented complete CI/CD pipelines using AWS CodePipeline, CodeBuild, and integrated SageMaker for automating model retraining.
  • Reduced manual efforts by automating model triggers using CloudWatch Events and Lambda, improving deployment frequency.
  • Wrote reusable Terraform scripts to create cloud infrastructure across multiple environments, including VPCs, subnets, RDS, ECS, and IAM roles.
  • Frequently attended daily stand-ups and client meetings to understand technical requirements and delivery expectations from business stakeholders.
  • Took ownership of infrastructure tickets from clients and worked cross-functionally with internal teams to resolve issues related to scaling, deployments, or access control.
  • Used Grafana, Prometheus, and CloudWatch to set up monitoring dashboards, which helped quickly identify bottlenecks and service failures.
  • Created cost-control measures like tagging policies and auto-shutdown schedules that reduced monthly billing by over 18%.
  • Assisted the machine learning team by building containers for model inference and integrating them with backend APIs securely.
  • Set up CI/CD security gates using tools like Trivy and SonarQube to improve quality of builds and reduce vulnerabilities in Docker images.
  • Managed secrets and environment configurations using AWS Systems Manager Parameter Store and Secrets Manager with access control.
  • Helped onboard new DevOps engineers by preparing documentation, giving walkthroughs, and answering process-related questions.
  • Migrated existing services from EC2 orchestration to EKS clusters, improving service reliability and fault tolerance.
  • Participated in design meetings and sprint planning for launching new microservices and ensured infra was ready ahead of development needs.

Senior DevOps & Data Engineer (CPT)

Data Bridge Tech
05.2023 - 10.2024
  • Built multiple CI/CD pipelines using GitHub Actions for deploying container-based services to Kubernetes clusters in staging and production.
  • Designed pipelines with testing, linting, image scanning, and rollback support, which helped avoid deployment failures.
  • Regularly participated in client meetings to understand deployment needs and translate them into technical workflows.
  • Gathered customer requirements related to release frequency, rollback control, and uptime, and planned pipelines accordingly.
  • Automated healthcare data flows using Apache Airflow, managing ETL jobs from S3 to Redshift with schema validation using PySpark.
  • Designed custom DAGs for handling incoming device data, ensuring smooth ingestion and timely processing.
  • Created Terraform scripts to provision S3 data lakes, Redshift, and secured VPC setups for analytics.
  • Set up and monitored Kubernetes clusters on EKS and GKE, configuring auto-scaling and ingress for stable traffic handling.
  • Supported data scientists by containerizing ML models and setting up automated deployments with integrated API services.
  • Joined regular sync-up calls with client-side data teams to understand ML model performance issues and apply fixes.
  • Built Grafana dashboards showing system performance, model latency, and cost metrics for client review.
  • Documented HIPAA compliance setups, including encryption, audit logs, and access controls, and explained them during audit meetings.
  • Automated secure PHI file transfers using SFTP, KMS, and cleanup schedules as per healthcare rules.
  • Mentored junior engineers in IaC practices, Git branching, and helped debug real-time deployment issues.
  • Handled multiple customer tickets by checking Airflow logs, fixing DAG failures, and updating data workflows.
  • Maintained GitHub standards like branch protection, PR templates, and semantic tagging for smooth collaboration.
  • Integrated AWS SNS for deployment alerts, and connected with Slack to keep client teams informed in real time.
  • Improved pipeline success rate to 98%+ by refining retries and isolating faulty data sources.
  • Took ownership in documenting infrastructure setup, DAG flow, and deployment processes for knowledge transfer and client sign-offs.

DevOps & Cloud Engineer (CPT)

CloudStride Solutions
04.2022 - 04.2023
  • Set up Jenkins pipelines for deploying Dockerized microservices with code linting, image scanning, and staging environments to ensure safe rollout.
  • Implemented unit testing and rollback strategies in CI/CD to improve release quality and avoid production-level issues.
  • Designed centralized logging using ELK Stack (Elasticsearch, Logstash, Kibana) for healthcare APIs to simplify issue tracking and post-deployment debugging.
  • Used Ansible for configuration management across dev, test, and UAT environments, ensuring consistency and avoiding configuration drift.
  • Created reusable Terraform modules for managing VPC, EC2, IAM policies, and S3 buckets across multiple accounts.
  • Built secure data lakes with encryption enabled S3 buckets, lifecycle rules, and access controls based on IAM roles.
  • Took part in meetings with developers to understand legacy application issues and worked on containerizing those apps using Docker.
  • Assisted in migrating monolithic apps to Kubernetes (EKS) with updated service discovery, ingress, and health checks.
  • Integrated HashiCorp Vault with CI/CD pipelines for secure secrets management and set up automated secret rotation.
  • Configured Prometheus exporters and created Grafana dashboards to monitor CPU, memory, and custom application metrics.
  • Wrote Python scripts for backup automation, AMI rotation, and audit report generation, which reduced manual tasks.
  • Participated in disaster recovery planning, testing failover between AWS regions to ensure business continuity.
  • Reviewed infrastructure code changes, ensuring naming conventions, tagging policies, and security guidelines were followed.
  • Set up GitLab runners to build CI/CD pipelines compatible with AWS and GCP environments.
  • Enabled developers to spin up self-service test environments using Terraform Workspaces and Jenkins jobs.
  • Linked Jenkins with Slack and Microsoft Teams to alert developers on build failures and job completion.
  • Took responsibility for training internal teams on Terraform modules, Git branching, and Jenkins pipeline templates.
  • Documented common errors, best practices, and reusable scripts to improve team onboarding and reduce repeated queries.

Cloud DevOps Engineer

Infosys Ltd.
01.2021 - 03.2022
  • Designed microservice-based deployments on Azure Kubernetes Service (AKS), making the infrastructure easier to manage and scale.
  • Handled Azure DevOps pipelines with gated builds, static code checks, and parallel execution, improving build quality and delivery time.
  • Integrated Azure Monitor, Log Analytics, and Application Insights to track application performance and health.
  • Wrote automation scripts using Python and Bash to perform system updates, credential rotations, and clean up unused resources.
  • Created automated runbooks in Azure for handling common issues like disk usage alerts, restarting services, and scaling resources.
  • Worked with QA teams to add Selenium and Postman test cases into the CI/CD pipelines, making automated testing part of the workflow.
  • Used Azure Key Vault to manage passwords and certificates securely, and applied RBAC roles to control who can access them.
  • Managed regular backups for SQL and NoSQL databases using Azure Backup and Blob Storage for different retention needs.
  • Participated in compliance review meetings, checked deployments for SOC2 and ISO standards, and helped prepare documentation for audits.
  • Helped new team members by training them in Azure DevOps, writing pipelines in YAML, and teaching basic security practices.
  • Took responsibility for migrating old applications from VMs to AKS, reducing infrastructure maintenance efforts.
  • Set up Let's Encrypt integrations to automate SSL renewals, using DNS validation for custom domains to improve app security.
  • Attended daily standups, planning meetings, and retrospectives, and shared feedback to improve infrastructure practices.
  • Prepared architecture diagrams, SOPs, and documentation, which helped with onboarding, internal training, and audits.
  • Used Azure Cost Management tools to monitor expenses and advised teams on ways to reduce cloud spending.

Junior Engineer – R&D (B.Tech Internship)

Effectronics Pvt. Ltd.
06.2019 - 12.2020
  • Supported test application configuration and deployments inside a controlled lab environment using Jenkins pipelines and shell scripts.
  • Assisted in automating manual QA flows by connecting Git commits to Jenkins builds and notifications, which improved feedback speed.
  • Documented standard operating procedures (SOPs) for deployment steps, rollback actions, and how to validate test results correctly.
  • Helped in gathering real-time sensor data streams and storing it in secure internal databases for analysis and long-term reference.
  • Used open-source tools and scripting to create basic visualization dashboards for presenting insights to the R&D team.
  • Took part in evaluating Kubernetes and Docker for internal usage, helping assess how containers can improve lab resource handling.
  • Wrote Bash scripts to clean temporary files, manage log rotation, and alert on high CPU or memory usage across test devices.
  • Migrated small utilities from old shell scripts to Python-based CLI tools, improving usability and reducing errors.
  • Contributed to version control adoption by maintaining Git repositories and helping team members understand commit workflows.
  • Maintained internal documentation by writing step-by-step setup guides for test environments and hardware connections.
  • Supported firmware testing routines by assisting in automated build packaging and deployment cycles in the QA lab.
  • Analyzed cost vs performance trade-offs for moving internal testing workloads to AWS EC2, preparing reports for the team.
  • Participated in Proof of Concept (PoC) projects involving sensor-data collection using Raspberry Pi, Python, and basic hardware scripting.
  • Learned cloud infrastructure concepts by working closely with senior engineers, observing provisioning tasks and documentation practices.
  • Designed and tested a basic Jenkins-based validation pipeline to check hardware health using automated test scripts and simple alert mechanisms.

Education

Master of Science - Health Data Science

Saint Louis University
St. Louis, MO
08-2024

Skills

  • Cloud Platforms: AWS (EC2, S3, EKS, Lambda), Microsoft Azure (AKS, DevOps, Monitor), Google Cloud (GCP)
  • DevOps Tools: Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, ArgoCD
  • Infrastructure as Code: Terraform, CloudFormation, Azure ARM Templates
  • Containerization: Docker, Kubernetes (EKS, AKS, GKE), Helm
  • Monitoring & Logging: Prometheus, Grafana, CloudWatch, ELK Stack, Datadog, Dynatrace
  • Scripting Languages: Python, Bash, Shell, YAML
  • Configuration Management: Ansible, Chef
  • Version Control Systems: Git, GitHub, Bitbucket
  • Database & Data Tools: MySQL, PostgreSQL, MongoDB, AWS Redshift, Apache Airflow, Spark
  • Security & Compliance: IAM Policies, AWS KMS, Secrets Manager, Azure Key Vault, HIPAA practices
  • Operating Systems: Linux (RHEL, Ubuntu, CentOS), Windows Server
  • Collaboration Tools: JIRA, Confluence, Slack, Microsoft Teams

Certification

Microsoft Certified: Azure AI Engineer Associate


AWS Certified Solutions Architect - Associate

Timeline

DevOps Engineer

Amazon
11.2024 - Current

Senior DevOps & Data Engineer (CPT)

Data Bridge Tech
05.2023 - 10.2024

DevOps & Cloud Engineer (CPT)

CloudStride Solutions
04.2022 - 04.2023

Cloud DevOps Engineer

Infosys Ltd.
01.2021 - 03.2022

Junior Engineer – R&D (B.Tech Internship)

Effectronics Pvt. Ltd.
06.2019 - 12.2020

Master of Science - Health Data Science

Saint Louis University

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