Skill
- Production Support Engineer Experience
- 2 to 4 years Location
- Bengaluru Mode of Working
- Work from Office Only Important Note
- Looking for candidate who can join us within 20 days. Position Specific Requirements
- Must have

skills:
• 3+ years of experience in Level 2 Application support
• Expertise in application and backend issue triage & analysis. Should have analyzed failures, error logs, done basic analysis, gather inputs and coordinate with Level 3
• Own day-to-day product operations for cloud-hosted applications, including proactive monitoring, incident triaging, outage management, and resolution while ensuring adherence to defined SLAs.
• Demonstrate strong analytical capabilities to diagnose issues, drive incidents to closure, and adapt to evolving tools and techniques during real-time incident response.
• Having worked upon support layers L1, L2, L2.5, worked closely with the engineering L3 teams, Product teams and the Business Stakeholders
• Troubleshooting knowledge in AWS, containerized workloads, and distributed microservices architecture.
• Understanding the root causes, restoration of the services and final reporting
• Monitor application and infrastructure using Datadog/Logicmonitor/Newrelic/Grafana or any monitoring tool
• Usage of multiple tools and techniques to analyse the production issues across Applications, backend, data and infrastructure layers
• Correlate logs, traces and metrics to isolate the failures across multiple services, understand the impact on business and generate high-quality artifacts aiding L3 investigations
• Support and lead release management, operational readiness,



deployment support and postproduction deployment validations
• Collaborate with the Stakeholders, Project teams and Vendors, handle the incident triages and meetings ensuring SLA adherences, escalation flows and operational excellence
• Positive command in Microsoft Office suite
• Willing to work in rotational based 24X7 multiple Shifts
• Willing to learn and implement automation or AIOps Features Monitoring and Observability: Datadog, ElasticSearch ELK / Open Search Dashboards, AWS Cloudwatch Cloud & Infra: AWS, Lambda, API Gateway, Open Search, Athena, Web services, API Management, AWS Cognito, EKS, SQS, VPC/SG/ELB , DynamoDB , Kinesis (Data Stream, Firehose) , SNS Incident Management ITSM tools: Jira, ServiceNow Databases: PostgreSQL, Mongo No SQL, SQL Good to have

skills:
Familiarity with Gitlab/Github, Jenkins, CI/CD Pipelines or any source code version control. Any Automation Skillset / Willing to learn Automation tools Webservices and API Management Experience in Change Management Process Connected car features understanding What will be the roles and responsibilities?
• Incident handling, Issue analysis, Investigate & Gather necessary data/insights Incident escalation based on workflows.
• Own L2 incident handling: triage, isolate, restore,



and document; run bridges for P1/P2 and steer the right resolver group.
• Monitor & act on CloudWatch/Datadog/ELK dashboards & auto‑alerts using runbooks; tune noise vs. signal.
• Deep‑dive production issues across Lambda/API Gateway/OpenSearch/Athena; create actionable debug artifacts (timelines, queries, log snippets, correlation IDs). Partner with L3: supply high‑quality inputs (repro steps, traces, request samples, dashboards), verify fixes, and drive post‑incident actions.
• Operational hygiene: maintain runbooks, workflows, SOPs, and knowledge articles; contribute to SLA reporting and weekly ops reviews.
• Cross‑geo coordination: collaborate with business, SupportDesk, QA, SecOps, vendors; close tickets end‑to‑end.
• Continuous improvement: raise kaizens to reduce toil (alerts, auto‑remediations, dashboards, cost/perf optimizations in Athena/OpenSearch).
• In case of priority incidents, bridge the calls with multiple stakeholders and ensure resolution stakeholder is identified and assigned to incident.
• Monitoring Dashboard of cloud applications.
• Monitoring and acting based on the auto-alerts generated from system using runbooks.
• Monitoring and Handling of the slack Datadog alerts.
• Report creation and publishing to required stake holders.
• Responsible for maintaining the procedures/run books, workflows, work instructions used by the ops team. Fulfil any ad-hoc data or report request queries from different functional groups Shifts Rotational 24×7 (multiple shifts), including weekends oncall / holidays support as rostered.

📌 Production Support Engineer (Bengaluru)
🏢 Mindsprint
📍 Bengaluru