Product Support Engineer (SRE, QA)
Remote Atlanta Contract Mid-level Site Reliability
At a glance
Mid-level Site Reliability role at BSC Analytics. Remote, United States · contract.
Pay not stated Site Reliability salary
RoleSite Reliability
SeniorityMid-level
LocationAtlanta
WorkplaceRemote
EmploymentContract
PostedOct 14, 2026 · 10d ago
Role brief
devopsroles summary, based on the employer's posting.
What you'll do
- Take client issues from initial triage through diagnosis and resolution, explaining technical findings in clear terms
- Trace problems through logs, metrics, APIs and data, then give engineering reproducible details for product defects
- Watch production across cloud environments, improve alerting, handle incidents and carry postmortem fixes through
- Create test plans and regression coverage for releases, including automated checks connected to CI/CD pipelines
- Use AI tools in support and testing, and assess AI features for output quality and edge cases
What you bring
- At least four years in technical product support, support engineering or SRE work
- At least two years of practical QA covering both manual and automated testing
- Hands-on AWS or Azure experience, plus SQL and one scripting language
- You can troubleshoot logs, APIs, databases and distributed systems, and explain issues to nontechnical clients
Who this fits
This mid-level contract role suits someone who combines client-facing support, reliability work and QA. You must be located in India and work Tuesday through Saturday, 3:30 AM to 11:30 AM IST, with a weekend on-call turn once a month.
From the employer
Working Hours: Tuesday - Saturday, 3:30 AM – 11:30 AM IST (Monday - Friday, 6pm ET to 2am ET), on call weekend rotation (once a month)
While this is a remote role, it is required that you be located in India.
As a Product Support Engineer at BSC Analytics, you'll be the front line for our clients and the backbone of our product's reliability. You'll own support from first ticket to root cause, keep production healthy with an SRE mindset, and roll up your sleeves on QA so what we ship actually works. You'll work closely with our product and engineering teams, put AI to work in how we support and test, and grow your reputation as the go-to expert on our product — all within a flexible, remote-first culture that values deep expertise, autonomy, and continuous learning. Client Support
While this is a remote role, it is required that you be located in India.
As a Product Support Engineer at BSC Analytics, you'll be the front line for our clients and the backbone of our product's reliability. You'll own support from first ticket to root cause, keep production healthy with an SRE mindset, and roll up your sleeves on QA so what we ship actually works. You'll work closely with our product and engineering teams, put AI to work in how we support and test, and grow your reputation as the go-to expert on our product — all within a flexible, remote-first culture that values deep expertise, autonomy, and continuous learning. Client Support
- 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