VI
Clean Room tester
VARITE INDIA PRIVATE LIMITED
🇮🇳 India
On-site
Mid level
8 months ago
- Kubernetes
- AWS
- EKS
- Helm
- AI
- MCP
- Devops
- Postman
- JMeter
- Model Context Protocol
- Agile
- Jira
- X-ray
- Linux
- CI/CD
- Jenkins
- Trivy
8 months ago
About The Client:
A global information technology, consulting, and business process services company, headquartered in India, provides a broad spectrum of services, including IT consulting, application development, business process outsourcing, and digital solutions. Serving clients across diverse industries and in over 167 countries, the company offers technology-driven solutions to enhance efficiency and innovation. With a global presence, it has emerged as a key player in the IT services and consulting space, contributing to the digital transformation of businesses worldwide.
About The Job:
- We are seeking an experienced Clean Room Release Verification Engineer to validate end-to-end product upgrades, deployment workflows, and integration flows for a complex, containerized product ecosystem running on Kubernetes (K8s) across cloud environments such as AWS EKS.
- This role requires strong technical expertise in Kubernetes deployments, Helm charts, automation, and troubleshooting, along with a solid understanding of test methodology.
- You will also use AI-driven tools (such as Client Q or MCP-enabled systems) to accelerate debugging, deployment analysis, and test creation, and participate in security scanning and vulnerability verification of deployment artifacts
Product Deployment & Upgrade Verification
- Perform end-to-end upgrade and deployment validation across multi-service product landscapes using the product documentation.
- Validate Helm chart upgrades, rolling updates, config map changes, secrets, environment variables, and cluster-level modifications.
- Ensure deployments follow defined architecture, performance criteria, and backward-compatibility requirements.
- Verify successful rollback strategies, version compatibility, and system stability after upgrades.
- Define and execute E2E product-level test cases related to deployment, scalability, and functional stability.
- Analyze business and technical requirements to develop a comprehensive test plan and customer-specific deployment test scenarios.
- Continuously track and analyze system behavior and key metrics before and after upgrades.
- Perform root-cause analysis for failed deployments, pod crashes, configuration issues, and resource-related failures.
- Work hands-on with logs, monitoring dashboards, Kubernetes events, and container diagnostics.
- Drive resolution by collaborating with engineering, DevOps, and platform teams.
- Create shell scripts to automate day-to-day verification tasks, log collection, environment setup, and routine validation.
- Use tools such as Postman, JMeter, and SoapUI to validate APIs and system behavior after deployment.
- Execute basic pre- and post-deployment security scans, vulnerability checks, image checks, and configuration validation.
- Validate remediation of security issues and ensure secure deployment practices.
- Utilize AI-driven tools (e.g., Client Q, GitHub Copilot, internal AI assistants) to accelerate:
- Debugging of deployment issues
- Analysis of logs and cluster states
- Generation of automated test artifacts
- Interpretation of upgrade impacts
- Work with MCP (Model Context Protocol)–based servers to integrate AI-assisted workflows in troubleshooting and test creation.
- Support preparation, maintenance, and verification of test environments, staging setups, and simulators.
- Work collaboratively in Agile teams across Dev, QA, and DevOps functions.
- Report defects, risks, and test coverage using JIRA and X-Ray.
Required Skills
- 5-8 years of experience as QA or Deployment Verification Engineer.
- Strong understanding of test methodologies, reporting, and automation best practices.
- Hands-on experience with:
- Kubernetes deployments on cloud infra (AWS EKS preferred)
- Helm charts, config maps, secrets, upgrades, helm install/upgrade
- kubectl and Kubernetes troubleshooting
- Working knowledge of:
- JMeter, Postman, SoapUI
- Linux administration and basic IP networking
- CI/CD using Jenkins
- Security scanning and vulnerability tools (e.g., trivy, AWS Inspector, or similar)
- Experience writing Shell scripts for automation.
- Strong analytical and communication skills.
- Experience working in Agile environments.
- Exposure to AI tools like Client Q for development/testing productivity.
- Understanding of MCP-based AI servers for context-aware engineering workflows
Unlock Rewards: Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.
Experience Level Bonus Referral:
| 0-2 years | INR 5,000 |
| 2-6 years | INR 7,500 |
| 6+ years | INR 10,000 |
About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.
Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.
Clean Room tester · VARITE INDIA PRIVATE LIMITED