DevOps Support and QA Engineer

Nila Apps/Edrevel AI

Chennai District

On-site

INR 800,000 - 1,100,000

Full time

12 days ago

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Job summary

Nila Apps/Edrevel AI in Chennai, India is seeking a DevOps Support and QA Engineer to help maintain reliable SaaS operations, support CI/CD, and validate releases from a customer perspective. This role spans development, staging, testing and production environments with a strong customer-first focus.

The position offers growth into leadership of the product support division as the company expands, with emphasis on automation, docs and improving support readiness.

Qualifications

  • 2 to 3 years of experience in DevOps support, QA or related technical role.
  • Experience supporting SaaS or web-based applications.
  • Strong working knowledge of AWS tools and services.
  • Familiarity with CI/CD pipelines, deployment workflows, and release management.
  • Hands-on experience with Playwright, Jasmine or similar testing frameworks.
  • Experience with test automation, regression, smoke and API testing.
  • Proficiency in Python/Bash scripting and Git.
  • Ability to analyze logs, troubleshoot, and perform root cause analysis.
  • Excellent written and verbal communication; customer-first mindset.

Responsibilities

  • Support day-to-day DevOps operations for a SaaS platform including deployment support and environment management.
  • Assist with CI/CD pipeline execution, deployment validation, smoke testing, and production readiness checks.
  • Monitor logs, alerts, and system health; troubleshoot across infrastructure and application layers.
  • Support release management and coordinate with engineering for stable deployments.
  • Test new features and fixes using manual and automated QA methods.
  • Develop and execute test cases, regression tests and functional scenarios.
  • Validate web apps, APIs, and integration workflows.
  • Document defects clearly and contribute to automation and process improvements.
  • Contribute to QA from the customer perspective and ensure business outcomes.
  • Collaborate with product, engineering and support to improve product quality and readiness.
  • Help build scalable product support practices as the organization grows.

Skills

DevOps
QA testing
Customer focus
CI/CD
Python scripting
Bash scripting
Git
APIs testing
Logging & debugging

Tools

AWS
Playwright
Jasmine
Docker
Kubernetes

Job description

Job Title

DevOps Support and QA Engineer

Job Summary

We are seeking a DevOps Support and QA Engineer to support the reliability, quality, and operational readiness of our SaaS platform. This role is equally focused on DevOps support and quality assurance, with responsibility for helping maintain stable environments, supporting CI/CD pipelines, and ensuring product releases are validated from the customers perspective.

The ideal candidate has 2 to 3 years of relevant experience, is comfortable working across development, staging, testing, and production environments, and brings a strong customer-first mindset. In this role, QA is not limited to feature verification; it is approached through the lens of the customers business problems and the value the product must deliver in real-world use.

This position also offers the opportunity to grow into a leadership role as the company expands, including potential ownership of the product support division.

Key Responsibilities
  • Support day-to-day DevOps operations for a SaaS platform, including deployment support, environment management, and release workflows.
  • Assist with CI/CD pipeline execution, deployment validation, smoke testing, and production readiness checks.
  • Monitor logs, alerts, and system health, and help troubleshoot issues across infrastructure and application layers.
  • Support release management activities and work closely with engineering to ensure stable, timely deployments.
  • Test new features, bug fixes, and releases using manual and automated QA methods.
  • Develop, maintain, and execute test cases, regression tests, and functional test scenarios.
  • Validate web applications, APIs, and integration workflows.
  • Investigate, reproduce, and document defects clearly for engineering teams.
  • Contribute to automation, scripting, and operational process improvements.
  • Document procedures, troubleshooting steps, and runbooks to improve support efficiency.
  • Perform QA from the customers perspective, with a strong focus on customer experience and business impact.
  • Partner with product, engineering, and support teams to improve product quality and customer support readiness.
  • Help build scalable product support practices as the organization grows.
Required Qualifications
  • 2 to 3 years of experience in DevOps support, QA, software testing, or a related technical role.
  • Experience supporting SaaS or web-based applications.
  • Strong working knowledge of AWS tools and services is required.
  • Familiarity with CI/CD pipelines, deployment workflows, and release management.
  • Hands-on experience with modern testing frameworks such as Playwright, Jasmine, and similar tools.
  • Experience with test automation, regression testing, smoke testing, and API testing.
  • Working knowledge of scripting languages such as Python, Bash, or similar tools.
  • Ability to analyze logs, troubleshoot issues, and assist with root cause analysis.
  • Familiarity with Git, bug tracking tools, and test management practices.
  • Strong written and verbal communication skills.
  • A customer-first mindset and a strong commitment to customer support and product quality.
Preferred Qualifications
  • Experience with Docker and/or Kubernetes.
  • Familiarity with observability and monitoring tools.
  • Exposure to cloud infrastructure and operational support in a production environment.
  • Experience working in Agile or Scrum teams.
  • Understanding of SQL and API validation.
  • AWS certifications such as AWS Cloud Practitioner or AWS AI Practitioner.
  • Experience with product support, technical support, or customer-facing troubleshooting.
What Success Looks Like
  • Releases are tested thoroughly and deployed with confidence.
  • Environment and pipeline issues are identified and resolved quickly.
  • QA is performed with a clear understanding of customer needs and business outcomes.
  • Automation, documentation, and support processes become more effective over time.
  • The product support function becomes stronger as the company scales.
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