Sr.Cloud DevOps engineer / SRE

PROFESSIONAL SUMMARY

Over ** years of IT experience, including 9+ years in AWS & Azure Cloud, DevOps, SRE, Azure DevOps, DevSecOps, Docker, Kubernetes, and ELK stack.

Skilled in managing cloud infrastructure and automating deployments using Terraform, Ansible, Jenkins, and Azure DevOps pipelines.

Strong knowledge of monitoring and log analytics tools like Nagios, Splunk, ELK, Grafana, Datadog, and AppDynamics.

Experienced in implementing DevSecOps practices to secure CI/CD pipelines and improve software delivery.

Certified AWS Cloud Practitioner.

Proficient in configuring highly available cloud resources in AWS and Azure.

Hands-on experience with infrastructure as code (IaC) and configuration management.

Implemented Calico monitoring for network traffic visibility and issue resolution.

Excellent communication skills, able to work effectively with technical and non-technical teams.

Detail-oriented, quick learner, and able to manage priorities under pressure.

Work Experience

Name of the Company

Designation

Duration

Responsibilities

LTTS, USA

Lead DevOps Engineer

Feb 2023 - Present

As a Lead Cloud DevOps Engineer for Halliburton, I led the implementation of fully automated CI/CD pipelines using Azure DevOps and Azure Cloud, enabling efficient and consistent deployments. I managed Kubernetes-based application deployments across Azure and AWS environments, ensuring high availability and scalability. Additionally, I automated operational workflows and routine tasks using Ansible and Bash scripting, contributing to improved system reliability and reduced manual effort.

Tech Mahindra, India

DevOps Specialist

Feb 2022 -

Jan 2023

DevOps and DevSecOps Engineer responsible for developing automated Infrastructure as Code (IaC) and CI/CD pipelines to streamline deployments across non-production and production environments hosted on AWS Cloud

LTTS, India

Technical Specialist

Nov 2019 –

Feb 2022

Senior Cloud and DevOps Engineer responsible for implementing automated CI/CD pipelines using Jenkins, setting up monitoring with the ELK stack, and deploying microservices using Helm in Kubernetes environments

Primus Global Services, Inia

Lead Consultant

Jan 2019 –

Oct 31, 2019

Lead Consultant/Senior DevOps engineer to support and streamline the delivery mechanisms automation and set up monitoring using ELK and Nagios. Used

Jenkins, ELK, Tomcat, Linux shell Scripting, ansible, terraform, Gitlab.

Oracle India Pvt Ltd.

Senior Consultant

Dec 2015 -

Jan 11, 2019

Project, I had worked upon is aimed to implement Jenkins CICD pipelines to automate oracle cloud

operations and continuous developer support and production support.

CGI, India

Senior Software Engineer

Oct 2011 –

Dec 2015

As a Senior DevOps Engineer, supported project in scratch implementation over cloud and create

automated pipeline using Jenkins and setup monitoring systems such as data dog, Nagios.

TCS, India

Associate Software Engineer

Aug 2008 –

June 2011

As a Siebel CRM and DB administrator, supported project in installing Siebel crm solutions, oracle 10g,

11g, applying crm patches and implementation of monitoring system using splunk and Nagios.

TECHNICAL SKILLS

Cloud Platform

AWS & AZURE

Version Control

GIT, M/S VSS, Smart CVS, Tortoise SVN

CI/CD

Azure DevOps, Jenkins, GitLab, Bamboo, AWS Code Pipeline, Argo CD

Build tools

Maven, Ant, MS-Build

Scripting Language

Python, Shell Script, Windows batch script

Operating System

AIX v 5.3, Linux/Unix, ubuntu, Centos, Oracle Linux, Windows 2003 SP2, 2008 R2, 2012 R2

& 2016 Advanced Servers.

Static code analysis

SonarQube & NDepend

Application Server

Tomcat, Web logic

Web Server

IIS, Apache HTTP, IHS, Oracle HTTP server& Nginx

Bug/Defect Tracking

JIRA, Remedy& HP-QC

Artifactory storage

Nexus, JFrog, Code Commit, Azure artifacts

Configuration Management

Ansible, Ansible Tower

Infra provisioning

Vagrant, Packer, Azure ARM, Bicep, Terraform & cloud formation.

Containerization

Docker & Kubernetes

Databases

DB2 v 9.5, Oracle 10g, 11g and 12C RDBMS, Mongo

CRM

Siebel 7.8, 8.X, IP 2015, IP 2016

Monitoring

Datadog, Cloud Watch, ELK, Grafana, Prometheus

PROFESSIONAL EXPERIENCE:

Company: LTTS, USA

Client: Halliburton, USA Feb’23–Present

Role: Lead Cloud DevOps Engineer

Designed, implemented, administered, and maintained fully automated CI/CD solutions using Azure DevOps across environments in Azure, ensuring consistent, secure, and efficient software delivery pipelines aligned with enterprise DevOps standards.

Responsibilities:

Lead DevOps initiatives with hands-on experience in automating and streamlining deployments in Microsoft Azure environments using Azure DevOps

Designed and maintained CI/CD pipelines using Azure DevOps, ensuring efficient code integration, testing, and release cycles across multiple environments.

Design, maintain and enhance build and release ( deployment ) pipelines in Azure DevOps.

Implemented Infrastructure as Code (IaC) using Terraform, ARM templates, and Bicep to provision and manage Azure infrastructure in a consistent and repeatable manner.

Developed and automated scripts using PowerShell, Bash, and Python to support build, deployment, and operational activities.

Expertise in creating Microsoft managed and self-hosted agent pools and integrate them to required pipelines.

Deployed and managed containerized applications using Docker and orchestrated services on Azure Kubernetes Service (AKS).

Configured and maintained core Azure networking components including VNets, firewalls, load balancers, and DNS to ensure secure and scalable connectivity.

Integrated monitoring and logging tools such as Azure Monitor, Log Analytics, and Application Insights to support performance tuning and operational visibility.

Created and managed Ansible Playbooks and inventories; performed installations and configurations using Ansible and Ansible Tower

Integrated GitOps workflows with ArgoCD for Kubernetes-based deployments, ensuring declarative and auditable infrastructure changes.

Deployed and monitored Kubernetes clusters on Azure using Prometheus and Grafana; implemented logging with the ELK stack (Elasticsearch, Logstash, Kibana).

Automated deployment processes & integrated with Jenkins and JFrog Pipelines for faster release cycles.

Conducted cost optimization analysis to reduce cloud expenditures without compromising availability or performance.

Managed Azure Kubernetes Service (AKS): created and monitored Pods, Services, YAML specs, and secured networking.

I participated in solution architecture discussions and contributed as an individual contributor to design and implementation efforts.

Created ad-hoc batch jobs to automate routine operations and ensure operational efficiency.

Worked independently and in a team-oriented environment.

Environment:

Security Tools: SonarQube, OWASP ZAP, Fortify

Scripting & Automation: Bash, Shell, Python, Ansible

CI/CD Tools: Azure DevOps, Jenkins, Kubernetes, Argo CD

Cloud Platforms: AWS, Azure

Containerization: Docker, Kubernetes

Version Control: Git, Azure Repo

Security Standards: OWASP, NIST

Company: Tech Mahindra

Client: DISH, USA Feb’22–Jan’23

Role: AWS Cloud & DevOps Lead/Technical solution Architect

DISH Network Corporation (DISH, an acronym for DIgital Sky Highway) is an American television provider and the owner of the direct-broadcast satellite provider Dish, commonly known as Dish Network. Project goal is to automation of Infra provisioning and deployment activities using Jenkins, terraform and Ansible over AWS cloud as part of CICD

Responsibilities:

Defined and implemented standardized CI/CD, infrastructure provisioning, and monitoring practices across cloud environments, supporting agile development workflows.

Automated the creation of AMIs using Shell and Python scripts with pre-boot and bootstrapping techniques, and extended automation with Boto3 for encryption and AWS tasks.

Designed and built reusable Terraform modules from scratch to provision Dev, QA, Staging, Production, and DR environments on Azure and AWS.

Migrated legacy and monolithic systems to AWS using Terraform and Ansible, improving scalability and maintainability.

Developed and maintained Ansible Playbooks to automate provisioning, deployments, and configuration management; integrated Ansible Tower with Octopus Deploy.

Provisioned highly available EC2 instances and other AWS services using Terraform, while automating infrastructure deployments through Jenkins pipelines.

Deployed and maintained Kubernetes clusters, optimizing storage performance with Portworx and integrating monitoring with Prometheus and Grafana.

Created Docker and Docker Compose files for application stacks, managing containerized workloads and ensuring secure deployments using best practices.

Built fully automated CI/CD pipelines using Jenkins and AWS CodePipeline, ensuring seamless delivery with minimal human intervention.

Managed and supported Azure Kubernetes Service (AKS) components including Pods, Services, YAML specs, and networking policies.

Led environment monitoring and troubleshooting efforts using ELK, Splunk, and Dynatrace to ensure application reliability and observability.

Implemented proactive system and infrastructure monitoring, security strategies, and disaster recovery solutions across cloud platforms.

Contributed to solution design discussions, acted as an individual contributor in DevOps architecture, and collaborated with cross-functional teams to deliver secure, efficient, and scalable deployments.

Maintained and upgraded system software without affecting application availability, while supporting daily operations via automated batch jobs.

Environment: GIT, Docker, Ansible, AWS, Centos OS, Data dog

Company: L&T Technology Services

Client: Halliburton, USA Nov’19–Feb’22

Role: Cloud - DevOps Engineer / SRE

Halliburton is an international corporation and a leading provider of technical, maintenance, planning and development services and supplier of various products to companies in the oil and energy industry and also to public sector. Project scope is to maintain application high availability to end users, maintain application infrastructure robust, scalable and secure.

Responsibilities

Utilized AWS services such as EC2, ELB, S3, RDS, Auto Scaling Groups, CloudWatch, CloudTrail, and Route 53 for infrastructure provisioning, monitoring, and scalability.

Configured and maintained CI/CD pipelines in Jenkins and Azure DevOps for microservices and Node.js applications, integrating Azure Artifacts and Key Vault secrets.

Developed and deployed Infrastructure as Code using Terraform and reusable modules to provision AWS environments, including EKS clusters.

Built and managed scalable ELK (Elasticsearch, Logstash, Kibana) stack solutions for centralized logging and monitoring, including performance tuning and clustering in enterprise environments.

Created and maintained GitLab CI/CD pipelines, wrote Groovy scripts, and managed GitLab runners to automate build and deployment workflows.

Implemented system security with IAM, container security, and Cloud KMS; created secure APIs using Apigee and load-balanced them via Azure ILB.

Built self-service tools for SRE use cases such as test environment provisioning, monitoring dashboards, and access management systems.

Collaborated with development teams to meet non-functional requirements, defined SLOs/SLIs, and participated in incident response and root cause analysis.

Automated code quality checks using SonarQube, including installation, configuration of quality gates, and report generation for PHP, Node.js, and .NET modules.

Supported developers with build troubleshooting and source control conflict resolution in Git and Azure Repos.

Conducted system-level debugging, resolved infrastructure issues across environments, and performed post-incident reviews.

Installed and integrated third-party tools into CI/CD workflows; automated Jenkins pipelines using shared libraries and batch/shell scripts.

Monitored environments from development to production using ELK, CloudWatch, and custom dashboards.

Participated in design, implementation, and documentation of scalable DevOps solutions, mentoring teams in best practices.

Managed IAM user access and EC2 lifecycle (create/terminate/stop), ensuring secure and optimized use of AWS infrastructure.

Company: Primus Global Services: Partner: Deloitte

Client: BCICM canada Jan’19–Oct’19

Role: DevOps Engineer

Deployment automation and continuous developer support to streamline project automation setting up CICD best practices. Implementation of ELK solution for security and monitoring Purposes

Responsibilities:

Set up of end- to - e n d CICD jobs using Jenkins, GitLab and Tomcat

Administration of ELK.

Installation and configuration of ELK for Log Monitoring Configuration

Experience in Creating Reporting and analytics Knowledge on Elk

Experience in Creating Dashboard on Kibana

Experience in Doing Complex Search

Experienced to set up of Kibana Backend.

Daily monitoring and troubleshoot the issues and help developers in case of any build issues

Worked in a collaborative team’s environment

Experienced om Developing in An Agile Environment.

Environment: GIT, GITLAB, ELK, TOMCAT, JENKINS, and Oracle Cloud

Company: Oracle Corp

Client: SAFARICOM, Kenya Dec’15–Jan’19

Role: AWS Cloud & DevOps Engineer

Safaricom is a telecommunications company based in Nairobi. The company is best known for its M-Pesa application, a system launched in 2007 that handles basic money transfers and cashless payment transactions via mobile phones without requiring a regular bank account.

The project goal is to maintain the application from development to production, create new environments in the AWS cloud, and automate the deployment process using DevOps tools.

Responsibilities:

Usage of AWS services – EC2, ELK, ELB, ELK, S3, SNS, ECS, NFS, Autoscaling groups.

Usage of Docker, Kubernetes, Packer, Vagrant and Ansible

Responsible to trouble shoot issues in production and non-prod environments

Monitoring the entire systems from dev to Prod

Generation of reports and document preparation to mentor teams

Install and configured ELK set up on centos7 machines (server) and captured the file beat, Winlogbeat, Metricbeat to pull out the log data onto KIBANA GUI- Dashboard for the visualization.

Kubernetes, container orchestration, Dockers. Worked on POC for Docker and Kubernetes implementation to simulate production application in a cluster (high availability) in non-production environments.

Creation of immutable PACKER images for AWS builder and preserve them in AWS on a need basis.

Creation of VM’s and provisioning the software’s using Vagrant for developer’s to simulate production environments.

Strong knowledge in writing Terraform files and reusable modules to enable infra provisioning in AWS.

JIRA installation and integration with Jenkins to raise bugs based on build failures and issue status updated in JIRA

Nagios & OEM 12C installation and configuration to monitor the environments.

Deployed and monitored scalable infrastructure (Auto scaling &Elastic Load balancer) on Amazon web services specifically on AWS EC2.

Environment: GIT, Maven, JIRA, Jenkins, JFROG, Ansible, AWS Cloud, Vagrant, Terraform, Tomcat, apache, Cloud watch, Nagios, OEM 12C, BIP 11g, Oracle 12C, Docker & Kubernetes

Company: CGI

Client: MHIS, France Oct’11 - Dec’15

Role: DevOps Engineer

Deployment automation and continuous developer support to streamline project automation setting up CICD best practices. Implementation of ELK solution for security and monitoring Purposes

Responsibilities:

Set up of end- to - end CICD jobs using Jenkins, GitLab and Tomcat

Administration of ELK.

Installation and configuration of ELK for Log Monitoring Configuration

Experience in Creating Reporting and analytics Knowledge On Elk

Sync EC2 with S3 buckets to store important data/logs/files from EC2 directories to S3 buckets - Runtime synchronization.

Periodical SNAPHOT's of VOLUMES and re-use of snapshots to create new volumes for instances based on the need.

Manage configuration of Web App and Deploy to AWS cloud server through Ansible.

Working with supporting different Environments with help of

Ansible to deploy applications in different Target Environments

Terminating/Stopping/Creating EC2 instances using AWS Console.

Creating user accounts for the Dev/QA team using AWS IAM

Responsible for creating the Jenkins pipelines for Automation job creation.

Environment: GIT, GITLAB, ELK, TOMCAT, JENKINS and AWS Cloud

Company: TCS

Client: Nielsen, USA Aug’08 - Jun’11

Role: Siebel administrator

Responsibilities:

As a Siebel CRM and DB administrator, supported project in installing Siebel crm solutions, oracle 10g,

11g, applying CRM patches and implementation of monitoring system using splunk and Nagios.

Environment: Siebel CRM administrator, OBIEE, informatica, BIP, oracle 11G

Passport Details:

Passport No : P9990124

Date of Issue : 19/04/2017

Date of Expiry : 18/04/2027

Place of Issue : VISAKHAPATNAM

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