{"id":2906199,"url":"https://alion.io/job/yubi-production-support-engineer","title":"Production Support Engineer","company":{"id":20330,"name":"Yubi","domain":"go-yubi.com","url":"https://alion.io/company/yubi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":6000,"max_usd":13500,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"Java","optional":false},{"name":"Linux","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Ruby","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Unix","optional":false}],"status":"live","first_seen_at":"2026-10-20T07:54:22Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-24T13:42:10Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Role Overview\nAs a Product Support Engineer (L1) in the Product Support & Customer Excellence team, you will act as the vital bridge between Core Engineering and Customer support team . You will dive deep into customer-reported issues, analyze application logs and backend data, and drive resolutions. Working closely with Core Engineering, you will write, validate, and execute ad-hoc scripts under approval to resolve data/system issues while monitoring real-time application alerts to ensure high availability and continuous operational stability.\nKey Responsibilities\nCross-Functional Liaison: Act as the technical touchpoint between Customer Support, Product, and Core Engineering to investigate, escalate, and resolve complex L1 customer issues.\n\nTroubleshooting & Technical Debugging: Diagnose, trace, and debug issues across multi-tier web and backend applications using application logs, system metrics, and backend database queries.\n\nScripting & Ad-hoc Execution: Draft, test, and deploy ad-hoc data/fix scripts in lower environments and execute them in Production following strict approval workflows from Core Engineering.\n\nApplication Alerting & Monitoring: Proactively monitor application performance alerts, error dashboards, and system health metrics to identify anomalies and address incidents before they impact customers.\n\nInterim & Workaround Solutions: Formulate immediate workaround solutions or hotfixes for recurring issues to minimize customer downtime while long-term technical debt is addressed.\n\nKnowledge Management: Maintain up-to-date internal Knowledge Base (KB) documentation and runbooks based on recent feature rollouts, bug fixes, and internal Knowledge Transfer (KT) sessions.\n\nRequirements\nQualifications & Requirements\nEducation: Bachelor’s or Master’s degree in Computer Science, Information Technology, or equivalent practical experience.\n\nExperience: 2-5 years of experience in Product Support, SRE, L1 Support, or Cloud Operations.\n\nProgramming & Scripting: Practical proficiency in at least one modern language (Python, Java, or Ruby) for writing operational and fix scripts.\n\nDatabase Management: Hands-on expertise writing SQL queries and inspecting data across relational databases (AWS RDS PostgreSQL / MySQL) and NoSQL databases (MongoDB).\n\nCloud Infrastructure: Strong working knowledge of major AWS Cloud Services (EC2, S3, CloudWatch, Lambda, RDS).\n\nDevOps & CI/CD Fundamentals: Understanding of Git workflows (GitHub, GitLab, or Bitbucket), CI/CD pipelines, and Infrastructure as Code concepts (Terraform / CloudFormation).\n\nSystem Operations: Comfortable navigating and troubleshooting across Linux/Unix environments.\n\nCommunication: Excellent written and verbal communication skills to clearly convey technical root causes to business stakeholders and core 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