DevOps & Cloud Engineer Multi-Cloud, CI/CD Expert

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 (and GitHub Actions where applicable) integrated with Git and Maven for Java-based microservices, automating build, test, and deploy workflows across Dev, Test, and Prod and reducing onboarding friction for new services.

Managed AWS infrastructure (EC2, VPC, S3, RDS, ELB, Auto Scaling) with Terraform, standardizing multi-environment deployments and enabling high availability and failover patterns for critical applications.

Deployed and managed Docker containers for microservices in non-prod environments, collaborating with teams to refactor workloads into container-ready units and align them with cloud-native best practices.

Provided L3-style support for CI/CD and platform issues, troubleshooting complex build/deploy failures, performing root cause analysis, and hardening pipelines and infrastructure for future releases.

Contributed to platform improvements by codifying reusable Terraform modules, Jenkins shared libraries, and environment standards that simplified tenant onboarding and improved operational consistency.

JP Morgan Chase & Co., PA, USA

DevOps Engineer Mar 2025 – Jun 2025

Designed and supported AWS infrastructure for trading and transaction-monitoring platforms using Terraform and CloudFormation (EC2, S3, RDS, VPC), standardizing environment builds and reducing manual setup time for dev/test by 40%.

Enhanced CI/CD pipelines in Jenkins and GitLab CI by adding gated build stages, automated tests, and environment-specific deploy jobs, improving deployment reliability for real-time payment services.

Helped design, configure, and operate Kubernetes (Amazon EKS) clusters for containerized microservices, including namespaces, ingress, services, and autoscaling, to ensure high availability and fast failover for latency-sensitive workloads.

Worked with application teams to containerize Java and .NET services using Docker and optimized Helm-based deployment templates, improving rollout consistency and reducing config drift across environments.

Implemented monitoring and observability using Prometheus, Grafana, and CloudWatch, building dashboards for transaction latency, error rates, and pod health, and tuning alerts to catch issues before they impacted customers.

Integrated security scanning and compliance checks (Snyk, Trivy, SonarQube) into pipelines, enforcing image and dependency policies in line with PCI-DSS and internal security standards.

Supported secrets management via AWS Secrets Manager and parameter stores, removing hardcoded credentials from app configs and strengthening access control across microservices.

Developed Bash and Python automation scripts for log rotation, artifact cleanup, and on-demand environment provisioning, cutting recurring manual ops work by several hours per week.

Collaborated closely with developers, QA, and SRE teams to troubleshoot build failures, deployment incidents, and performance bottlenecks in lower environments, documenting runbooks and CI/CD playbooks for faster resolution and onboarding. 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.

Participated in on-call rotations and acted as part of an L3 support chain, investigating production issues, improving monitoring/alerting, and feeding improvements back into platform configuration.

Built and maintained CI/CD automation in Jenkins and Azure DevOps so that tenant teams could self-service deployments to Kubernetes with standardized templates and guardrails.

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 79% 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, Kubernetes (EKS, AKS, GKE), experience enabling platform features, workload onboarding, and cluster troubleshooting; familiar with Helm, Kustomize, and GitOps concepts (e.g., ArgoCD-style workflows).

CI/CD & Build Tools Jenkins, GitLab CI, Azure DevOps Pipelines, GitHub Actions, Bamboo, Maven, Gradle, SonarQube, Nexus, Artifactory – designing end-to-end build, test, deploy workflows for microservices and cloud- native apps.

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 CERTIFICATIONS

Microsoft Azure AZ -104: Azure Administrator Associate CKA (Certified Kubernetes Administrator) CKAD (Certified Kubernetes Application Developer)

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