Product Support Engineer (SRE, QA)
Summary
Remote (India-based) Product Support Engineer at Blue Sentry Cloud handling client support, production reliability (SRE), and QA. Day to day: triage and resolve client issues, monitor and support AWS/Azure environments, write and automate test plans in CI/CD, and use AI tools for triage, testing, and documentation.
While this is a remote role, it is required that you be located in India.
- Own client-reported issues end to end: triage, troubleshoot, resolve, and close the loop
- Serve as a trusted technical point of contact for clients, translating complex problems into clear answers
- Dig into logs, metrics, APIs, and data to find root cause, not just the workaround
- Escalate and partner with engineering on product defects, with clean repro steps and context
- Build and maintain runbooks, knowledge base articles, and support documentation
- Monitor production health and respond to incidents across cloud environments (AWS/Azure)
- Implement proactive monitoring and alerting that catches issues before clients do
- Lead and contribute to blameless postmortems, and drive fixes to completion
- Automate repetitive support and operational tasks — if you've done it twice, script it
- Support secure, compliant, and resilient operations for clients in highly regulated industries
- Partner with product and engineering to test new features and releases before they ship
- Write and execute test plans, test cases, and regression suites
- Build and maintain automated tests and integrate them into CI/CD pipelines
- Turn real client issues into test coverage so the same bug never ships twice
- Use AI tools to speed up triage, troubleshooting, test generation, and documentation
- Help test and validate AI-powered product features, including output quality and edge cases
- Bring ideas for where AI can make our support and QA processes smarter
Required Qualifications
- 4+ years in technical product support, support engineering, or SRE roles
- 2+ years of hands-on QA experience, including manual and automated testing
- Hands-on experience with AWS and/or Azure
- Strong troubleshooting skills across logs, APIs, databases, and distributed systems
- Working knowledge of SQL and at least one scripting language – Python, Bash, or PowerShell experience preferred
- Experience with monitoring and observability tools – CloudWatch and Azure Monitor preferred
- Experience with test automation frameworks – Playwright experience preferred
- Familiarity with CI/CD pipelines and incident management practices
- Excellent communication skills, with the ability to explain technical issues to non-technical clients
- Strong multi-tasker, self-starter, and proactive team player
Preferred Qualifications
- Experience using or supporting AI/LLM-powered products, including testing AI outputs
- Highly regulated industry experience (e.g. finance, healthcare)
- Experience in consulting or client-facing delivery roles
- Kubernetes and Terraform experience
- Cloud certifications (AWS, Azure)
- Agile experience
