System Reliability Engineer / T2 Support Engineer

Overview

Hands-on production reliability and support role responsible for the stability and smooth functioning of a live platform running on Google Cloud. Acts as the first technical owner of production systems.

What you'll do

• Monitor application health, latency, errors, consumer lag, database connections, and resource utilization
• Acknowledge and investigate monitoring alerts
• Perform first-level troubleshooting and stabilize services
• Identify whether an issue is infra, application, database, or messaging related
• Participate in the on-call rotation
• Diagnose production incidents and restore services with minimal downtime
• Safely restart services, scale instances, or roll back deployments when required
• Communicate incident status to stakeholders
• Handle technical support tickets requiring engineering understanding
• Update configurations and feature flags
• Manage scheduled jobs and cron triggers
• Trigger or replay events in Kafka
• Assist in minor Java configuration or code fixes when needed
• Coordinate production releases
• Investigate MongoDB performance issues and slow queries
• Monitor and resolve Kafka consumer lag and stuck messages
• Manage Redis cache behavior (TTL, eviction, connection issues)
• Analyze logs and metrics to determine root cause of issues
• Prepare basic Root Cause Analysis (RCA) reports
• Suggest preventive actions to reduce recurring incidents
• Work closely with backend developers, QA, and infrastructure teams to prevent incidents and reduce downtime

What you'll need

• 3 to 6 years of relevant experience in production support, application support, SRE, DevOps operations, or similar roles
• Good understanding of Linux commands and server behavior
• Experience analyzing application logs and debugging runtime issues
• Basic Java knowledge (stack trace reading, configuration changes, rebuild and deploy)
• Practical experience with MongoDB (indexes, connections, slow queries)
• Understanding of Kafka concepts (consumer, offset, lag, partitions)
• Basic Redis knowledge (caching behavior, TTL)
• Hands-on experience with any cloud platform (GCP preferred, AWS acceptable)
• Experience using monitoring tools (GCP Monitoring, Prometheus, Grafana, ELK, or similar)
• Understanding of REST APIs and HTTP status codes
• Ability to investigate problems logically rather than randomly restarting services
• Comfort working with live production systems
• Willingness to participate in on-call support
• Strong ownership mindset, attention to detail, and good communication during incidents

Nice to have

• Experience in e-commerce, fintech, logistics, or high-traffic systems
• Exposure to CI/CD pipelines and deployments
• Basic scripting (Shell or Python)
• Experience writing RCA documents

Details

• Location: Gurugram, Haryana, India
• Involves handling live production systems and occasional on-call responsibilities