Bhagyesh Parmar

DevOps Engineer

Mumbai, Maharashtra, India6 yrs 4 mos experience
Highly Stable

Key Highlights

  • 6 years of expertise in DevOps and Infrastructure automation.
  • Proficient in AWS services and CI/CD pipeline management.
  • Strong analytical and problem-solving skills.
Stackforce AI infers this person is a DevOps Engineer specializing in Infrastructure Automation within the SaaS industry.

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Skills

Core Skills

DevopsCi/cdInfrastructure As Code (iac)

Other Skills

AWSAnsibleAutomationCentOSCloud ComputingDockerGitGitHubGitLabHadoop AdministrationHigh AvailabilityJIRAJenkinsKubernetesLinux

About

With around 6 years in DevOps and Infrastructure automation, I bring expertise in application configuration, code compilation, packaging, building, and automating seamless code transitions across environments. Proficient in AWS services like EC2, VPC, and Auto Scaling. I've honed skills in SCM tools (GitHub, GitLab), branching, merging, and version control on Windows/Linux. Adept at project management with JIRA, I excel in Docker container creation and lifecycle management. Successfully deploying builds in QA, Integration, UAT, and Production, I've leveraged Ansible for playbook-based deployments. I'm experienced in Jenkins for CI/CD pipeline setup and maintenance. Monitoring servers with Grafana, I possess strong analytical and problem-solving skills, capable of independent or collaborative work. With excellent communication and organizational abilities, I'm a dedicated team player, handling queries and calls effectively.

Experience

Persistent systems

Senior Engineering Lead

Dec 2024Present · 1 yr 3 mos · Mumbai, Maharashtra, India · Hybrid

Tata consultancy services

System Engineer

Nov 2019Dec 2024 · 5 yrs 1 mo · Mumbai Area, India · On-site

AWSJIRADockerAnsibleJenkinsGitHub+3

Education

Dr. Babasaheb Ambedkar Marathwada University (BAMU), Aurangabad

Bachelor of Engineering - BE — Computer Science

Jan 2015Jan 2019

Carnegie Mellon University School of Computer Science

Advanced Certificate Program in DevOps

Oct 2022Apr 2023

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