Summary
Overview
Work History
Skills
Websites
Technical Skills
Timeline
Generic

Jameema Pagolu

New York City,US

Summary

Accomplished AWS DevOps Engineer with over 8+ years of progressive experience in designing, deploying, and managing cloud infrastructure across multiple sectors. Expert in building Kubernetes environments, CI/CD pipelines, automated infrastructure workflows that enable teams to deploy applications reliably and securely. Skilled across the full stack, from infrastructure provisioning to monitoring and observability, to solve operational challenges, reduce manual toil, and enforce security and compliance in regulated environments.

Overview

11
11
years of professional experience

Work History

Cloud DevOps Engineer

McKinsey & Company
New York City, US
01.2025 - Current
  • Automated provisioning of multi-environment AWS infrastructure using Terraform, CloudFormation, implementing modular, reusable templates, parameterized environments, drift detection, and secure networking with VPCs, subnets, and security groups.
  • Architected and operated production-grade AWS EKS clusters, implementing Cluster Autoscaler, network policies, RBAC, pod security contexts, and integrated CloudWatch monitoring to ensure high availability, scalability, and operational resilience.
  • Standardized Kubernetes deployment workflows using Helm charts, Ansible, enforcing namespace isolation, resource quotas, pod security policies, config maps, and cluster-wide configuration management for consistent, secure, and repeatable deployments.
  • Implemented end-to-end CI-CD pipelines, automating build, test, and deployment workflows with testing, Docker containerization, environment-specific parameterization, artifact promotion, seamless rollback mechanisms to ensure reliable production releases.
  • Developed Python, Bash automation scripts to validate deployments, perform automated resource cleanup, aggregate, analyze logs, remediate failed operations, improving infrastructure reliability, reducing manual intervention, enabling faster incident resolution.
  • Implemented event-driven automation frameworks leveraging AWS Lambda, CloudWatch, and EventBridge to trigger alerts, auto-remediate failed tasks, and dynamically scale EKS workloads based on real-time metrics and operational thresholds.
  • Orchestrated OS, middleware, and application deployments, including Linux patching, service discovery configuration, dependency resolution, and cluster-wide configuration enforcement, ensuring consistent and compliant environments across multiple stages.
  • Integrated HashiCorp Vault for dynamic secrets management, automating rotation and secure injection of database credentials, API keys, and TLS certificates into CI/CD pipelines and containerized workloads, ensuring audit-ready compliance.
  • Managed and optimized Kafka clusters for event-driven microservices, automating topic creation, consumer lag monitoring, broker scaling, and retention policies to ensure high-throughput, resilient, and fault-tolerant streaming pipelines.
  • Implemented centralized logging and observability pipelines using ELK Stack, Fluentd, Prometheus, and Grafana, enabling structured log parsing, enrichment, correlation, and lifecycle management for proactive troubleshooting and analytics.
  • Enabled auto-scaling for EKS workloads based on real-time metrics using Kubernetes HPA/VPA, Prometheus, and CloudWatch alarms, dynamically provisioning nodes to maintain performance during variable microservice traffic spikes.
  • Strengthened cloud security and compliance by implementing and managing IAM roles, policies, security groups, and container runtime controls, ensuring all infrastructure and workloads adhered to enterprise governance and audit standards.
  • Collaborated with cross-functional teams to optimize cloud-native application performance, implement robust observability, and streamline incident response, improving reliability and operational efficiency in production AWS environments.
  • Environment: AWS (EKS, Lambda, CloudWatch, S3, RDS, SNS, SQS), Terraform, Kubernetes, Helm, Ansible, Jenkins, Vault, Kafka, Docker, ELK Stack, Prometheus, Grafana, Python, Bash, Git, ArgoCD

Senior DevOps Engineer

Huntington Bank
Columbus, US
11.2022 - 12.2024
  • Built Terraform modules for multi-account AWS environments, defining reusable patterns for VPC architecture, EKS clusters, RDS instances, IAM policies, service endpoints to maintain consistent, audit-compliant infrastructure across regulated environments.
  • Automated configuration and system hardening using Ansible, introducing modular playbooks for package lifecycle management, CIS-aligned baseline enforcement, and environment remediation tasks across Linux application nodes.
  • Administered production-grade Kubernetes workloads on EKS, tuning HPA configurations, PodDisruptionBudgets, resource allocations, and namespace hygiene to stabilize application behavior under variable transactional loads.
  • Implemented migration from Docker Swarm to EKS, translating service blueprints into scalable Kubernetes manifests, redesigning ingress controllers, network policies, aligning deployments with enterprise cloud-native operational, security standards.
  • Designed AWS Lambda workflows, event-driven triggers to automate operational tasks, S3 integrity checks, replacing manual maintenance. Managed Airflow DAGs, Kafka pipelines to ensure checkpointed ETL, data processing across distributed systems.
  • Expanded observability by configuring Prometheus exporters, optimizing scrape intervals, defining recording rules, and building actionable Grafana dashboards used for operational triage and release readiness checks.
  • Centralized application and infrastructure telemetry using ELK Stack and CloudWatch Log Insights, implementing structured logging and cross-service correlation to accelerate fault detection, root-cause analysis, and operational troubleshooting.
  • Orchestrated blue-green and canary deployments on EKS, collaborating with application teams to manage progressive traffic routing, validate feature-flag functionality, monitor metrics, and enforce safe rollback boundaries for controlled production releases.
  • Embedded automated infrastructure verification using Python and Bash, incorporating configuration drift detection, security control checks, artifact integrity verification, and cluster readiness validation into CI/CD steps.
  • Partnered with InfoSec and cloud governance functions to refine RBAC models, enforce network segmentation policies, and apply Terraform Sentinel rules that aligned deployments with SOC 2 and PCI-DSS controls.
  • Optimized EKS and supporting workloads by refining cluster autoscaling thresholds, adjusting pod resource lifecycles, and introducing AWS Fargate profiles for select workloads requiring cost isolation or operational simplification.
  • Environment: AWS (EKS, Lambda, EC2, S3, CloudWatch, VPC, RDS, IAM), Terraform, Ansible, Kubernetes, Docker, Jenkins Pipeline (Groovy), Vault, Apache Airflow, Kafka, Prometheus, Grafana, ELK Stack, Python, Bash

DevOps Engineer

Hexaware Technologies
Chicago, US
10.2021 - 09.2022
  • Automated multi-environment AWS infrastructure using CloudFormation with modular templates, environment-specific configurations.
  • Built pipelines in Jenkins with Groovy, integrating unit tests, container builds, vulnerability scanning, automated artifact promotion.
  • Deployed applications to Kubernetes clusters (Minikube, AWS EKS) with Helm charts using rolling, blue-green, and canary updates.
  • Applied Ansible playbooks for OS hardening, application deployment, continuous configuration management across Linux servers.
  • Integrated EC2, S3 into automated workflows for dynamic instance provisioning, storage management, backup, restore orchestration.
  • Implemented monitoring with Prometheus and Grafana to track cluster health, pod usage, API latency, and microservice dependencies.
  • Centralized logs with the ELK Stack, creating structured pipelines for monitoring, troubleshooting, and incident response.
  • Combined Terraform and Ansible to automate infrastructure provisioning and configuration across multiple regions and environments.
  • Enforced security in CI/CD pipelines through Jenkins credentials, IAM policies, S3 encryption, and role-based access controls.
  • Managed application deployments with blue-green, canary, and rolling strategies, including automated rollback and monitoring.
  • Integrated CI/CD pipelines with monitoring and logging tools to provide teams actionable feedback on deployments and system health.
  • Improved Kubernetes operations with namespace segmentation, resource quotas, network policies for multi-tenant governance, reliability.
  • Environment: AWS (EKS, EC2, S3, Lambda), Terraform, Kubernetes, Helm, Docker, Jenkins (Declarative Pipelines, Groovy), Ansible, Prometheus, Grafana, ELK Stack, Python, Linux

DevOps Engineer

Fractal Analytics
Bengaluru, India
01.2018 - 12.2020
  • Automated deployment workflows for containerized microservices using Docker with Kubernetes for workload scheduling, scaling.
  • Provisioned and managed AWS EC2 instances, S3 storage to ensure high availability, secure data access, scalable application hosting.
  • Developed Lambda functions to automate infrastructure tasks, schedule recurring operational workflows, reducing manual intervention.
  • Designed, implemented CloudFormation templates, terraform modules to enable version controlled infrastructure provisioning.
  • Architected Jenkins CI/CD pipelines to automate build, test, deployment processes, accelerating release cycles, improving reliability.
  • Applied Ansible playbooks for configuration management, enforcing environment consistency across dev, test, pre-production clusters.
  • Built end-to-end observability with Prometheus, Grafana, monitoring cluster health, resource utilization, and performance anomalies.
  • Centralized application and system logs through the ELK stack, enabling faster root-cause analysis and proactive issue resolution.
  • Automated repetitive deployment and operational tasks using Python and Groovy scripts, reducing errors and manual effort.
  • Containerized legacy applications, orchestrated deployments on Kubernetes, improving portability, reproducibility, runtime stability.
  • Maintained documentation for infrastructure, CI/CD pipelines, and monitoring procedures to support continuity and onboarding.
  • Environment: Amazon Web Services (EC2, S3, Lambda), Docker, Kubernetes, Terraform, AWS CloudFormation, Jenkins, Ansible, Prometheus, Grafana, Elastic Stack (Elasticsearch, Logstash, Kibana), Python, Groovy, Linux, Git, CI/CD Pipelines.

DevOps Engineer

Quantiphi Analytics Solutions Pvt Ltd
Bengaluru, India
08.2015 - 12.2017
  • Contributed to building and scaling DevOps automation frameworks for analytics and application workloads hosted on AWS. Implemented CI/CD pipelines using Jenkins, automated server configuration using Ansible, and provisioned AWS infrastructure using CloudFormation.
  • Developed Python and Bash scripts to automate deployment, backup, and monitoring workflows. Supported containerized application deployments using Docker and Kubernetes, improving development agility and deployment consistency.
  • Provisioned and managed AWS EC2 and S3 resources using CloudFormation, standardizing environment creation for development and testing teams.
  • Automated server configuration and application deployments using Ansible, improving consistency and reducing manual setup errors.
  • Developed Bash and Python scripts to automate operational tasks such as log management, backups, deployment orchestration, and environment validation.
  • Configured and maintained Jenkins freestyle jobs to support CI pipelines, enabling automated builds, integration testing, and artifact management.
  • Containerized applications using Docker and supported Kubernetes-based orchestration for microservices development and testing.
  • Implemented GitHub version control best practices, managing branching strategies and pull request workflows to ensure stable integrations.
  • Configured Nagios monitoring for server and application health, enabling proactive alerting and faster issue resolution.
  • Collaborated with senior engineers to support infrastructure scaling, pipeline optimization, and DevOps best practice adoption.
  • Environment: AWS (EC2, S3, Lambda, CloudFormation), Jenkins, Ansible, Docker, Kubernetes, GitHub, Python, Bash, Linux (Ubuntu, CentOS), Nagios

Skills

  • AWS services: EKS, EC2, Lambda, S3, RDS, VPC
  • Infrastructure as code: Terraform, CloudFormation
  • Container orchestration: Kubernetes, Fargate, Minikube
  • CI/CD tools: Jenkins, ArgoCD
  • Configuration management: Ansible, Helm
  • Monitoring and logging: Prometheus, Grafana, ELK stack
  • Data streaming: Kafka, EventBridge
  • Security management: IAM policies, RBAC, Pod security policies
  • CloudWatch and logs management
  • Scripting languages: Python, Bash
  • Docker containerization

Websites

Technical Skills

AWS (EKS, EC2, Lambda, S3, RDS, VPC, IAM, CloudWatch, SNS, SQS, Fargate), Terraform, CloudFormation, Apache Airflow, Ansible, Helm, Kubernetes (EKS, Minikube), Docker, Jenkins (Declarative DSL, Groovy), ArgoCD, Python, Bash, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Fluentd, CloudWatch Logs, HashiCorp Vault, IAM Policies, RBAC, Pod Security Policies, Network Policies, Kafka, EventBridge

Timeline

Cloud DevOps Engineer

McKinsey & Company
01.2025 - Current

Senior DevOps Engineer

Huntington Bank
11.2022 - 12.2024

DevOps Engineer

Hexaware Technologies
10.2021 - 09.2022

DevOps Engineer

Fractal Analytics
01.2018 - 12.2020

DevOps Engineer

Quantiphi Analytics Solutions Pvt Ltd
08.2015 - 12.2017
Jameema Pagolu