Vishal Gajam — DevOps Engineer

Experienced DevOps Engineer with close to 4 years of dedicated service in the IT industry, specializing in AWS infrastructure design, implementation, and maintenance. Proficient in leveraging a wide array of tools and technologies to streamline processes and enhance efficiency. Key Skills: • Skilled AWS DevOps Engineer adept at architecting and managing cloud infrastructure using AWS services. • Proficient in orchestrating complex Jenkins pipelines, incorporating Groovy scripts to support multiple applications across various stages, including SonarQube and trivy. • Experienced in automating configuration management using Ansible playbooks, optimizing scalability and performance. • Well-versed in containerization technologies such as Docker, proficient in building Docker images through Docker file. • Knowledgeable in infrastructure-as-code practices, utilizing Terraform for efficient infrastructure provisioning and management. • Proficient in Kubernetes cluster management, ensuring optimal resource allocation and scalability for containerized applications. • Committed to fostering a culture of continuous learning and development, actively conducting knowledge- sharing sessions and upskilling initiatives within teams. DevOps is not just a role but a continuous journey towards improving software delivery processes. I thrive on challenges and am passionate about exploring new technologies and finding innovative solutions. With a strong foundation in automation, scripting, and infrastructure management, I am dedicated to helping organizations achieve faster and more reliable software delivery. If you're seeking a dynamic DevOps engineer to drive your organization's success, let's connect on LinkedIn and explore how I can contribute to your team's goals.

Stackforce AI infers this person is a DevOps Engineer specializing in cloud infrastructure and automation within the SaaS industry.

Location: Hyderabad, Telangana, India

Experience: 4 yrs 5 mos

Skills

Aws
Devops
Kubernetes

Career Highlights

Expert in AWS infrastructure design and management.
Proficient in automating CI/CD processes with Jenkins.
Strong background in Kubernetes and container orchestration.

Work Experience

Mercedes-Benz Research and Development India

DevOps Engineer (1 yr 10 mos)

IELEKTRON TECHNOLOGIES PVT. LTD.

Software Engineer - DSET (1 yr 10 mos)

Tata Consultancy Services

DevOps Engineer (2 yrs 7 mos)

Education

Bachelor of Engineering - BE at TKR College of Engineering & Technology

Vishal Gajam

DevOps Engineer

Hyderabad, Telangana, India4 yrs 5 mos experience

Key Highlights

Expert in AWS infrastructure design and management.
Proficient in automating CI/CD processes with Jenkins.
Strong background in Kubernetes and container orchestration.

Stackforce AI infers this person is a DevOps Engineer specializing in cloud infrastructure and automation within the SaaS industry.

Contact

Skills

Core Skills

AwsDevopsKubernetes

Other Skills

AWS CloudFormationAnsibleCI/CDCloud InfrastructureContinuous Integration (CI)Continuous Integration and Continuous Delivery (CI/CD)DockerGitGitHubGrafanaGroovyInfrastructure as code (IaC)JenkinsJiraLinux

About

Experience

Mercedes-benz research and development india

DevOps Engineer

May 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India · Hybrid

Roles & Responsibilities:
Developed robust Jenkins Shared Libraries, reducing duplicated pipeline logic by 40% and accelerating CI/CD onboarding by 25% within 3 months.
Implemented comprehensive quality analysis stages within the pipeline using advanced tools to conduct multi-tier checks (QAC, HCGC, HIS), ensuring high code quality and compliance with project standards — resulting in a 25% improvement in job run time efficiency.
Automated quality analysis notifications and dashboards, increasing team visibility and decision-making speed by 50%.
Configured Jenkins agents permanent and EC2-based dynamic nodes), enhancing parallel builds and reducing build queue wait time by 60%.
Developed DAGs and workflows in Python for orchestrating simulation tasks across multiple Kubernetes nodes using Apache Airflow deployments.
Reduced critical incident downtime by 40% using readiness/liveness probes and Pod Disruption Budgets.
Resolved Kubernetes CrashLoopBackOff events, increasing pod reliability by 35%.
Resolved complex, intermittent production issues by deep diving into Kubernetes networking (CNI, Network Policies), Ingress controllers, and configurations for critical incidents.
Optimized node scheduling via affinity rules, enhancing workload distribution and cluster resilience by 20%.
Resolved complex Terraform drift/state issues, maintaining infrastructure consistency with 100%integrity.
Proactively optimized application stability and eliminated frequent CrashLoopBackOff events by meticulously defining and fine-tuning resource requests/limits.
Resolved complex, intermittent production issues by deep diving into Kubernetes networking (CNI, Network Policies), Ingress controllers, and configurations for critical incidents.
Proficiently troubleshot and resolved complex Terraform state conflicts, state file corruption issues, and drift detection discrepancies, ensuring infrastructure integrity and consistency.