Harsh Chandak

Software Engineer

Maharashtra, India4 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in DevOps and CI/CD practices
Proven track record in PLM system upgrades
Skilled in automation and performance optimization

Stackforce AI infers this person is a PLM and DevOps specialist with strong automation skills.

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Skills

Core Skills

DevopsCi/cd

Other Skills

Continuous Integration and Continuous Delivery (CI/CD)JenkinsKubernetesTerraformAnsiblePythonJavaMQLENOVIAGitHub ActionsPython (Programming Language)Database Management System (DBMS)EngineeringSQLMicrosoft Excel

About

Software engineer specialist with 3.6+ years of experience across PLM (ENOVIA) systems and automation-driven development. Skilled in Python, Java, CI/CD, data model customization, MQL, with experience in building scalable solutions and optimizing system performance. Worked with tools like Git, Docker, Kubernetes, Jenkins, and GitHub Actions to support CI/CD and modern development workflows. Experienced in managing system upgrades, customization, and ensuring platform reliability. Passionate about leveraging DevOps practices to improve efficiency, scalability, and continuous delivery.

Experience

4 yrs 4 mos

Total Experience

2 yrs 2 mos

Average Tenure

3 yrs 10 mos

Current Experience

Dassault systèmes

2 roles

Software Engineering Specialist

Promoted

May 2024 – Present · 2 yrs

Led a large-scale ENOVIA / 3DEXPERIENCE platform upgrade (22x → 25x), driving release execution, regression cycles, and production stabilization across enterprise environments.
Designed and implemented robust CI/CD pipelines using Jenkins and GitHub Actions, enabling automated build, test, and deployment workflows for PLM applications.
Orchestrated containerized workloads and deployments using Kubernetes, improving scalability, availability, and release consistency.
Automated infrastructure provisioning and configuration management using Terraform and Ansible, ensuring repeatable and environment-agnostic deployments.
Developed and maintained ENOVIA customizations (Java JPOs, APIs, MQL/TCL) aligned with DevOps practices, ensuring upgrade readiness and system integrity.
Built Python-based automation utilities for upgrade validation, data verification, and reporting, generating structured outputs for audit and release tracking.
Implemented automated regression and testing pipelines using Selenium, improving platform stability and reducing manual testing effort.
Integrated SonarQube for static code analysis and enforced quality gates within CI/CD workflows.
Managed application artifacts (JARs, JSPs, XML) and deployments across DEV, QA, and PROD environments with controlled release strategies.
Collaborated with cross-functional teams (Platform, QA, Functional) to streamline delivery pipelines, reduce deployment time, and enhance system reliability.