Summary
Overview
Work History
Education
Skills
Affiliations
Certification
Languages
Timeline
Rajesh Kumar Adabala

Rajesh Kumar Adabala

Anantapur

Summary

DevOps Engineer with over 5 years of experience in cloud operations and infrastructure management, specializing in Azure and Linux environments. Proven track record in optimizing CI/CD pipelines and driving successful cloud migrations, particularly within telecom and banking sectors. Expertise in Azure DevOps, Terraform, Docker and Kubernetes has led to a 40% reduction in deployment times and a 25% decrease in operational costs. Committed to continuous learning and collaboration to tackle complex challenges and implement innovative solutions.

Overview

5
5
years of professional experience
1
1
Certification

Work History

Software Engineer

NM Software Solutions Ltd
New Castle
06.2023 - 09.2024

In my role at NM Software Solutions, I led the DevOps transformation for a banking-related project, which involved improving application deployment processes, system scalability, and security compliance.

  • I implemented CI/CD pipelines using Azure DevOps and Git, which reduced our release times by 40%, making deployments faster and more reliable.
  • Managed the deployment and orchestration of cloud-based infrastructure on Microsoft Azure, including Azure Virtual Machines, Azure App Services, and Azure Kubernetes Service (AKS), ensuring high availability, scalability, and security for critical banking applications.
  • Automated infrastructure provisioning using Terraform and Azure Resource Manager (ARM) templates enables us to consistently deploy environments across development, staging, and production.
  • Spearheaded the adoption of containerization with Docker and Kubernetes, significantly improving the scalability and fault tolerance of our applications.
  • Enhanced security compliance by implementing automated security scans and patch management within the CI/CD pipeline, ensuring adherence to industry regulations for the banking sector.
  • Optimized cloud resource utilization by implementing auto-scaling and load balancing in Azure, handling fluctuating traffic, and reducing operational costs by 25%.
  • Set up Azure Monitor and Azure Log Analytics to provide comprehensive monitoring and logging solutions, delivering proactive insights into application and infrastructure health.
  • Developed and maintained infrastructure-as-code (IaC) solutions with Terraform, enabling efficient management of cloud resources, and improving collaboration between development and operations teams.
  • Worked closely with the development and QA teams to integrate automated testing into the CI/CD pipeline, ensuring error-free deployments for critical banking systems.
  • Played a key role in troubleshooting and optimizing banking applications, reducing downtime by implementing automated rollback strategies, and using centralized logging for faster issue resolution.
  • Collaborated with cross-functional teams to ensure the successful migration of legacy systems to Azure, minimizing disruption while meeting strict compliance standards.

Infra Managed Service Analyst

Accenture Solutions Pvt. Ltd.
Bangalore
08.2019 - 06.2023

During my time at Accenture, I worked across different roles, starting as a Linux Support Associate and Admin, and then transitioning into a Cloud Operations Analyst role. My focus shifted from on-premises systems to cloud solutions, particularly in Microsoft Azure.

Linux Support Associate & Admin (Aug 2019 – Jul 2021)

  • Managed Linux-based systems in a high-availability environment, providing proactive monitoring, troubleshooting, and resolution for issues related to performance, security, and infrastructure stability.
  • Automated OS patching and vulnerability management using Ansible, reducing manual intervention by 30%.
  • Led the deployment and management of Linux VMs in Azure, ensuring optimal resource allocation, security configurations, and uptime for critical applications.
  • Administered Linux servers, optimizing system performance through log analysis, tuning, and resource management.
  • Utilized ITSM tools such as ServiceNow for ticket management, ensuring rapid response times to incidents and requests.

Cloud Operations Analyst (July 2021 – June 2023)

  • Managed and operated cloud infrastructure in Microsoft Azure, overseeing resource provisioning, virtual machine commissioning, and the seamless operation of Azure Recovery Service Vault and Azure Load Balancers.
  • Automated cloud operations with Azure DevOps, Terraform, and PowerShell, enabling infrastructure-as-code for provisioning and configuration management.
  • Led the migration of critical workloads to Azure Cloud, improving scalability, reducing infrastructure costs, and enhancing performance for key applications.
  • Developed and maintained CI/CD pipelines with Azure DevOps, streamlining deployment processes and ensuring rapid, consistent deployments with minimal downtime.
  • Configured and maintained Kubernetes clusters for container orchestration, providing high scalability, availability, and fault tolerance for microservices-based applications in the cloud.
  • Implemented automated monitoring using Azure Monitor to track system performance and address issues before impacting end users.
  • Enhanced security and compliance by integrating Azure Active Directory for identity management, Git for version control, and automated patch management for both Windows and Linux environments.
  • Automated OS patching and update deployment using Ansible and GPOs, improving patch compliance, and reducing downtime.
  • Contributed to project planning, including drafting user stories, defining software requirements, and aligning development efforts with project goals.
  • Developed automation tools for incident management, leading to a 25% improvement in operational efficiency.

Education

Bachelor of Science - B.E In Electronics & Communication Engineering

Saveetha School Of Engineering, Chennai,India
06-2018

Thesis or Dissertation Title: Enhancing Security and Performance in Heterogeneous Wireless Sensor Networks Through Distributed Trust Model Design

  • Project focused on designing a distributed trust model for heterogeneous wireless sensor networks and implemented using trust metrics such as reputation, consistency, and reliability.
  • Developed algorithm for trust computation and trust-based routing considering various attacks such as Sybil, spoofing, and replay attacks.
  • Evaluated the performance of the proposed trust model using simulations. Results demonstrated an increase in network lifetime and reduction in packet loss compared to existing trust models.
  • The project outcome can be implemented in various fields such as IoT and smart cities for secure communication and access control.

Skills

  • Cloud Platforms: Microsoft Azure, Azure DevOps, AWS, Google Cloud Platform
  • DevOps Tools: Jenkins, GitLab, Docker, Kubernetes (AKS), Terraform, Ansible
  • Automation & Scripting: Bash, PowerShell, Terraform, Ansible Playbooks
  • Version Control: Git, GitHub, Azure DevOps
  • Monitoring & Logging: Azure Monitor, Log Analytics, Prometheus, Grafana
  • Infrastructure Management: Infrastructure-as-Code (IaC), Cloud resource management, Auto-scaling, Load Balancing
  • Security & Compliance: Security automation, Compliance scanning, Vulnerability management
  • Incident Management: ITSM tools, ServiceNow, BMC, Jira Service Management
  • Operating Systems: Ubuntu, Windows, CentOS

Affiliations

  • Organized technical and non-technical events at symposium "ADVAYA 2k17" in Saveetha School of Engineering.
  • Participated in seminars and debates in inter-school competitions.
  • Coordinated blood donation camp during undergraduate college as community service activity.
  • Active Member of PPA community at Accenture, regularly organizing fun activities at organization/project level

Certification

  • Microsoft Certified: Azure Fundamentals (AZ 900).
  • Microsoft Certified: Azure Administrator Associate (AZ 104).
  • Microsoft Certified: DevOps Engineer Expert (AZ 400).
  • Python for Data Science and AI, Coursera (IBM), August 2021.

Languages

Telugu
First Language
English
Advanced (C1)
C1
Hindi
Upper Intermediate (B2)
B2
Tamil
Elementary (A2)
A2

Timeline

Software Engineer - NM Software Solutions Ltd
06.2023 - 09.2024
Infra Managed Service Analyst - Accenture Solutions Pvt. Ltd.
08.2019 - 06.2023
Saveetha School Of Engineering - Bachelor of Science, B.E In Electronics & Communication Engineering
Rajesh Kumar Adabala