{"id":3038435,"url":"https://alion.io/job/bsc-analytics-product-support-engineer-sre-qa","title":"Product Support Engineer (SRE, QA)","company":{"id":671345,"name":"BSC Analytics","domain":"bscanalytics.com","url":"https://alion.io/company/bscanalytics","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Pinpoint","truth_index":null},"role":"Support","role_family":"Support","seniority":"middle","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":{"min":25,"max":30,"currency":"USD","period":"hour","gross":null,"usd_annual":60000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Incident Management","optional":false},{"name":"Playwright","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-20T22:04:59Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-26T08:25:59Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"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)\nWhile this is a remote role, it is required that you be located in India.\n\nAs 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.\nKey Responsibilities\nClient Support\nOwn client-reported issues end to end: triage, troubleshoot, resolve, and close the loop\nServe as a trusted technical point of contact for clients, translating complex problems into clear answers\nDig into logs, metrics, APIs, and data to find root cause, not just the workaround\nEscalate and partner with engineering on product defects, with clean repro steps and context\nBuild and maintain runbooks, knowledge base articles, and support documentation\n Site Reliability\nMonitor production health and respond to incidents across cloud environments (AWS/Azure)\nImplement proactive monitoring and alerting that catches issues before clients do\nLead and contribute to blameless postmortems, and drive fixes to completion\nAutomate repetitive support and operational tasks - if you've done it twice, script it\nSupport secure, compliant, and resilient operations for clients in highly regulated industries\nQuality Assurance\nPartner with product and engineering to test new features and releases before they ship\nWrite and execute test plans, test cases, and regression suites\nBuild and maintain automated tests and integrate them into CI/CD pipelines\nTurn real client issues into test coverage so the same bug never ships twice\nAI\nUse AI tools to speed up triage, troubleshooting, test generation, and documentation\nHelp test and validate AI-powered product features, including output quality and edge cases\nBring ideas for where AI can make our support and QA processes smarter\nSkills Knowledge & Expertise\nRequired Qualifications\n4+ years in technical product support, support engineering, or SRE roles\n2+ years of hands-on QA experience, including manual and automated testing\nHands-on experience with AWS and/or Azure\nStrong troubleshooting skills across logs, APIs, databases, and distributed systems\nWorking knowledge of SQL and at least one scripting language - 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