Automation Engineer Validation & Deployment Integration

Vrddhi Solutions LLC
Charlotte, NC, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Testing (Software) Java (Programming Language) Amazon Web Services Automation of Tests Microsoft Azure Bash Shell Cloud Computing Code Coverage Continuous Integration DevOps Github Revision Control Systems
+25 more
Python (Programming Language) Windows PowerShell Regression Testing Release Management Ansible Software Engineering System Integration Testing System Testing Data Logging Scripting Google Cloud Performance Testing Delivery Pipeline Reliability of Systems Git Gitlab-ci Kubernetes Infrastructure Automation Frameworks Information Technology Deployment Automation Tools for Reporting Terraform Docker Jenkins Programming Languages

Job description

  • Design, build, and maintain scalable automated testing and validation frameworks for software releases, patches, and deployment packages
  • Develop automation solutions to support deployment integration, system validation, regression testing, and release certification processes
  • Integrate automated validation checks into CI/CD pipelines to improve release readiness and reduce manual intervention
  • Streamline and optimize patch certification workflows to reduce cycle time while maintaining quality and compliance standards
  • Collaborate with software development, QA, DevOps, release, and infrastructure teams to define validation criteria and deployment success metrics
  • Create reusable automation scripts, tools, and test harnesses to support multiple products, environments, and release scenarios
  • Identify gaps in existing validation and deployment processes and implement automation improvements to increase efficiency and reliability
  • Troubleshoot failures in automated tests, deployment pipelines, and integrated environments to identify root causes and corrective actions
  • Monitor deployment and validation outcomes, analyze trends, and recommend enhancements to improve confidence and predictability
  • Maintain detailed technical documentation for automation frameworks, validation procedures, deployment workflows, and support processes
  • Support continuous improvement initiatives related to release engineering, test coverage, deployment quality, and operational stability
  • Ensure automation practices align with organizational standards for security, compliance, and system reliability.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience
  • Experience in automation engineering, software testing, validation, DevOps, or deployment engineering
  • Strong knowledge of automated testing frameworks, validation methodologies, and software release processes
  • Experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, Azure DevOps, or similar platforms
  • Proficiency in scripting or programming languages such as Python, Java, Bash, PowerShell, or similar
  • Experience working with source control systems such as Git
  • Understanding of deployment workflows, release management, and environment integration practices
  • Strong analytical, troubleshooting, and problem-solving skills
  • Ability to work collaboratively across cross-functional technical teams
  • Strong written and verbal communication skills

Preferred, but not required:

  • Experience with enterprise deployment tools and release orchestration platforms
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
  • Knowledge of infrastructure automation tools such as Ansible, Terraform, or similar technologies
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes
  • Understanding of system integration testing, regression testing, and performance validation
  • Experience in highly regulated, quality-driven, or large-scale production environments
  • Familiarity with monitoring, logging, and reporting tools used to assess deployment and validation health

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