{"id":1229901,"url":"https://alion.io/job/lyzr-production-support-engineer","title":"Production Support Engineer","company":{"id":1805441,"name":"Lyzr","domain":"lyzr.ai","url":"https://alion.io/company/lyzr","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"C","score":64,"open_postings":27,"ghost_share":0.593,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":41000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1608},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Grafana","optional":false},{"name":"Incident Management","optional":false},{"name":"ITIL","optional":false},{"name":"Jira","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"ServiceNow","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-04-24T11:08:31Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-09-27T16:14:09Z","board_verified":true,"closed_at":null,"days_open":156,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":156},"description":"Professional Services - Support Practice\nFull-time · Remote (India / US / EU)\nExperience : 2-5 years\nAbout Lyzr\nLyzr.ai 's agentic AI platform powers intelligent, autonomous workflows for enterprise clients. Production Support Engineers are the front line that keeps those workflows healthy - triaging incidents, resolving tickets, digging into logs, and escalating the right issues to the right teams before clients feel the pain.\nThis role suits someone who thrives in a fast-paced technical environment, takes ownership seriously, and genuinely enjoys the detective work of diagnosing why something broke in production. You will work within a global follow-the-sun support model, reporting to the Production Support Lead.\nWhat you’ll do\nIncident response & triage\nMonitor production dashboards and alerts; acknowledge, classify (P1-P3), and triage incoming incidents within SLA response windows.\n\nPerform first-level diagnosis using logs, traces, and monitoring tools (Datadog / Grafana / CloudWatch) to isolate root cause or rule out environmental issues.\n\nExecute approved runbook steps to resolve known issues independently; escalate novel or high-severity issues to the Lead with a clear diagnostic summary.\n\nMaintain accurate, time-stamped ticket updates throughout the incident lifecycle so clients and internal stakeholders always have visibility.\n\nService request fulfilment\nHandle client service requests: configuration changes, access provisioning, agent re-deployments, and data queries within approved change management guardrails.\n\nValidate and document completed requests, ensuring audit trails are maintained in the ticketing system.\n\nIdentify recurring requests that could be automated or self-served, and flag them to the Lead for process improvement.\n\nMonitoring & proactive health checks\nRun scheduled health checks on production agent pipelines, API integrations, and data connectors; raise pre-emptive alerts for degradation trends.\n\nMaintain and update monitoring dashboards; propose new alert thresholds based on observed patterns.\n\nParticipate in post-mortems and contribute findings to the known-error database and runbooks.\n\nKnowledge & collaboration\nDocument solutions to new issues in the internal knowledge base; keep existing runbooks accurate and up to date.\n\nCollaborate with Engineering, Platform, and Customer Success teams during handoffs, providing clear reproduction steps and log artefacts.\n\nParticipate in the on-call rotation (shift-based); expected availability for P1 escalations during assigned windows.\n\nWhat you bring\nExperience: 2-5 years in application / production support or a NOC environment\nDomain: SaaS or cloud-hosted platform support; AI/ML familiarity a strong plus\nTechnical: Log analysis, API debugging, SQL queries, basic Python / shell scripting\nMonitoring: Datadog, Grafana, CloudWatch, or equivalent observability tools\nTicketing: Jira Service Management, ServiceNow, or Zendesk\nCloud basics: AWS / GCP / Azure fundamentals; Docker / Kubernetes awareness\n\n Additionally, you will have:\nA methodical, structured approach to troubleshooting - you document what you tried, not just what worked.\n\nClear written communication: ticket updates, client-facing messages, and handover notes that leave no ambiguity.\n\nComfort working across time zones and collaborating asynchronously with distributed teams.\n\nBonus: exposure to LLM-based or agentic AI systems, prompt engineering, or RAG pipelines in production.\n\nBonus: ITIL Foundation certification or equivalent incident management training.","description_format":"text","description_chars":3548,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents"],"lifecycle":[{"event":"open","at":"2026-09-25T14:31:40Z"}],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.119,"p_room":0.28,"age_days":156,"expected_fill_days":30,"reasons":["conf:13","stale_co","velocity","ghost","win:tail","crowd:junior"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/lyzr-production-support-engineer","json_url":"https://alion.io/job/lyzr-production-support-engineer.json","meta":{"generated_at":"2026-09-28T06:45:43Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4862,"day_limit":5000,"remaining_today":138,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}