DevOps Engineer with Cloud & IaC Expertise

Venkatesh Nagelli DevOps Engineer

Email: *********.*******@*******.*** Phone: 412-***-**** Location: Pittsburgh, PA LinkedIn SUMMARY

Over 6+ years of total IT experience specializing in DevOps, Cloud Engineering, CI/CD pipeline automation, infrastructure as code, and release management across AWS and Microsoft Azure platforms.

Strong hands-on expertise with AWS services (EC2, S3, RDS, Lambda, IAM) and Azure services including Azure Virtual Machines (VMs), Azure DevOps (VSTS), Azure Blob Storage, Azure Data Factory, Azure Kubernetes Service (AKS), Azure Active Directory (AD), Azure Functions, and Azure Monitor for provisioning, deployment, and automation of scalable, secure cloud environments.

Proficient in CI/CD setup and management using Jenkins, TeamCity, Maven, Nexus, Azure DevOps Pipelines (VSTS), with automated build, test, and deploy workflows supporting multiple environments (Development, QA, UAT, Production).

Skilled in Infrastructure as Code (IaC) and configuration management tools including Ansible, Puppet, Terraform, and containerization using Docker to enable consistent, repeatable, and cloud-agnostic deployments.

Experienced with version control systems such as Git, Bitbucket, GitHub, SVN providing efficient code management and collaborative development.

Advanced scripting abilities in Shell, Groovy, YAML, and JSON for automation of deployment, provisioning, and system monitoring tasks.

Comprehensive knowledge of networking and system administration including Active Directory, Azure AD, Group Policy, DHCP, DNS, SNMP, FTP, SMTP, TCP/IP, with practical experience configuring Cisco firewalls, routers, and switches.

Proficient with GCP compute and traffic stacks, including Compute Engine, GKE, Cloud Run, Cloud Functions, VPC, Cloud Load Balancing, Cloud NAT, and Cloud DNS to deliver resilient, low-latency services.

Skilled in building secure data layers on Cloud Storage, Cloud SQL, and BigQuery with IAM- and KMS-backed controls, secret rotation, and audit- ready configurations.

Worked on Terraform-driven IaaS provisioning (networks, subnets, firewalls, load balancers, MIGs) to standardize multi-environment deployments and reduce lead time.

PROFESSIONAL EXPERIENCE

HCL Technologies, PA, USA

DevOps Engineer Jun 2025 - Current

Designed and implemented CI/CD pipelines in Jenkins integrated with Git and Maven for Java-based applications, automating build, test, and deployment workflows across Dev, Test, and Prod environments.

Managed AWS infrastructure (EC2, VPC, S3, RDS, ELB, Auto Scaling) using Terraform and AWS CLI, delivering secure, scalable, and cost-optimized solutions for enterprise applications.

Automated configuration management using Puppet, creating and maintaining manifests/modules to streamline application provisioning and reduce deployment times.

Deployed and managed Docker containers for microservices in development/testing environments, improving environment consistency and reducing release issues.

Monitored system performance and application health using AWS CloudWatch, configuring alerts and IAM policies to ensure compliance and proactive incident management.

JP Morgan Chase & Co., PA, USA

DevOps Engineer Mar 2025 – Jun 2025

Assisted in provisioning AWS cloud infrastructure (EC2, S3, RDS, VPC) with Terraform and AWS CloudFormation, reducing manual setup time for development environments by 40%.

Contributed to CI/CD pipeline enhancements in Jenkins and GitLab CI, integrating automated testing and deployment steps for secure updates to trading and transaction monitoring services.

Helped configure and maintain Kubernetes (EKS) clusters for containerized microservices supporting real-time payment processing, ensuring high availability and quick failover.

Monitored production and staging systems using Prometheus, Grafana, and CloudWatch, generating dashboards to track transaction response times and detect issues proactively.

Implemented basic security scanning and code quality checks (Snyk, Trivy) within pipelines to meet PCI-DSS compliance and reduce vulnerabilities before deployment.

Supported secrets management setups via AWS Secrets Manager, removing hardcoded credentials from internal service configurations.

Wrote automation scripts in Bash and Python for repetitive tasks such as log archiving, deployment triggers, and cloud resource clean-up.

Coordinated with development and QA teams to troubleshoot build failures and deployment issues in test environments for banking applications.

Documented environment setup procedures, CI/CD workflows, and troubleshooting guides for team knowledge sharing. EPAM Systems – Hyderabad, India

System Engineer (Project: Santander Banking UK) Apr 2022 – Apr 2023

Assisted in migrating and deploying microservices to Kubernetes clusters (AKS), ensuring optimal pod scheduling, service resiliency, and compliance with deployment standards.

Actively participated in on-call rotations, responding to critical production alerts, collaborating with SRE teams, and resolving incidents to reduce application latency by 30%.

Built and maintained CI/CD automation using Jenkins and Azure DevOps, enabling faster release cycles and increasing deployment velocity for banking application teams.

Integrated performance monitoring with Dynatrace, tuning services and configurations to achieve a 40% improvement in response times for customer- facing apps.

Partnered with QA and development teams to embed automated testing into the SDLC, improving defect detection and reducing post-release production issues.

Implemented monitoring/alerting systems using Prometheus and Grafana, reducing system downtime by 50% through proactive detection and resolution of performance bottlenecks.

Designed, configured, and maintained Azure VNets, subnets, DNS, routing, and network security policies to support secure, compliant banking workloads.

Configured and maintained Docker (builds, Compose setups) to provide consistent dev/test environments, reducing onboarding time for new developers.

Engaged in Scrum meetings, sprint planning, and release readiness reviews to align infrastructure deliverables with feature release timelines. LTI Mindtree, India

DevOps Engineer Jan 2019 – Mar 2022

Architected and deployed secure, high-availability AWS environments for a financial services platform, using EC2 Auto Scaling Groups, Application Load Balancers, and VPC networking — maintaining 99%+ uptime during quarter-end trading peaks.

Automated multi-tier application provisioning using Terraform and Ansible, reducing environment setup from ~4 hours to under 30 minutes and eliminating configuration drift.

Built and maintained CI/CD pipelines in Jenkins and GitHub Actions, integrated with Maven for Java microservices and SonarQube for code quality checks — lowering deployment rollbacks by ~40%.

Migrated legacy banking services to Docker microservices, deploying on Amazon EKS for zero-downtime rolling upgrades and faster production rollback.

Implemented proactive monitoring using AWS CloudWatch, Splunk, and ELK Stack, reducing MTTR from 90 min to under 50 min for priority-1 incidents.

Designed granular AWS IAM roles/policies and implemented AWS Config, Security Hub, GuardDuty to maintain PCI-DSS/SOX audit readiness and remediate vulnerabilities automatically.

Implemented AWS Backup, S3 lifecycle policies, and cross-region replication to ensure RPO of <4 hours for critical financial workloads.

Managed complex VPC architectures (subnets, route tables, NAT gateways, security groups) to isolate sensitive client data in compliance with financial industry security guidelines.

Collaborated with developers to introduce CloudFront CDN and ElastiCache for real-time data applications, improving response times by ~20%.

Created detailed runbooks, architecture diagrams, and SOPs, and actively participated in sprint planning and release readiness to align infrastructure deliverables with client go-live dates.

LTI Mindtree, India

Cloud Engineer Jul 2018 – Dec 2018

Assisted in migrating on-premises workloads to Microsoft Azure (VMs, Blob Storage, AD, SQL DB), delivering a scalable environment for banking and ERP applications.

Developed ARM templates and Azure DevOps pipelines to automate infrastructure provisioning and deployment processes — cutting setup time from hours to minutes.

Configured Azure Monitor and Log Analytics for system-wide monitoring, reducing incident detection and response durations by 35%.

Optimized delivery workflows with Azure DevOps, Jenkins, and GitLab, increasing deployment frequency and reducing human errors during release cycles.

Managed Azure Kubernetes Service (AKS) clusters for microservices-based applications, improving scalability and optimizing resource utilization. Hexaware Technologies, India

System Engineer Jul 2017 – Jun 2018

Administered, configured, and optimized Linux-based production and staging environments hosting mission-critical applications, consistently maintaining 79% uptime through proactive monitoring, load balancing, and performance optimization.

Automated routine server administration workflows with Bash, Shell, and PowerShell scripts, reducing manual intervention by 40% and improving deployment consistency across environments.

Implemented infrastructure hardening best practices by configuring firewalls (iptables), SSH key-based authentication, SSL/TLS, and conducting regular vulnerability patching, lowering security incident risk by 35%.

Tuned Apache Tomcat application servers and MySQL/MariaDB databases, achieving 25% faster response times and optimizing query execution for high- traffic web applications.

Deployed and integrated Nagios and Splunk for end-to-end system monitoring, log analytics, and real-time alerting, enabling 30% faster incident resolution and improving mean time to recovery (MTTR).

Facilitated smooth deployment cycles by contributing to CI/CD pipeline optimizations using Jenkins and Git, ensuring stable, rapid delivery of application updates to production.

Created and maintained detailed system architecture diagrams, SOPs, and runbooks, improving onboarding efficiency for new engineering team members and ensuring operational continuity.

TECHNICAL SKILLS

Programming Languages Java, C#, JavaScript, Python, Groovy, Bash, PowerShell, Shell Scripting, YAML Configuration Management & Automation Ansible, Chef, Puppet, Nagios, SaltStack Infrastructure as Code (IaC) Terraform, AWS CloudFormation, Azure Resource Manager (ARM) Templates Containers & Orchestration Docker (container creation & management), Kubernetes (cluster orchestration), Amazon EKS, Azure Kubernetes Service (AKS)

CI/CD & Build Tools Jenkins, GitLab CI, Bamboo, Azure DevOps Pipelines, Maven, Gradle, SonarQube, Nexus Repository Manager, Artifactory

AWS Cloud Services EC2, ELB, Auto Scaling, IAM, S3, CloudWatch, CloudTrail, Redshift, Lambda, Systems Manager, VPC, Route 53, RDS

Microsoft Azure Cloud Services Azure Virtual Machines, Azure Blob Storage, Azure AD & RBAC, Azure DevOps, Azure Monitor, Log Analytics, Security Center, Azure Data Factory, Azure Functions, AKS, Azure Synapse Analytics

Google Cloud Platform (GCP) Compute Engine; GKE; Cloud Run; Cloud Functions; VPC; Cloud Load Balancing; Cloud NAT; Cloud DNS; Cloud Storage; Cloud SQL; BigQuery.

Monitoring, Logging & Observability Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, AWS CloudWatch, Azure Monitor

Version Control & Collaboration Git, GitHub, Bitbucket, GitLab, Jira, Confluence Databases SQL Server, MySQL, PostgreSQL, MongoDB (NoSQL basics) Web & Application Servers Apache Tomcat, Nginx, WebLogic Networking & Security TCP/IP, DNS, DHCP, Load Balancing, Firewall Configuration (Cisco), SSL/TLS, VPNs EDUCATION

Robert Morris University, PA, USA Master of Science Information Systems Management Jun 2023 - Dec 2024 Satavahana University, Telangana, India Bachelors in Computer Science Aug 2015 – May 2018 CERTIFICATION

Microsoft Azure AZ -104: Azure Administrator Associate

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