About the Role
We are looking for an engineer who enjoys understanding how systems behave in real production, not just writing features. This role is responsible for maintaining reliability, stability, and smooth functioning of our live platform running on Google Cloud.
You will act as the first technical owner of production systems — monitoring services, investigating alerts, resolving issues, and performing controlled configuration and operational changes. This role works closely with backend developers, QA, and infrastructure teams to prevent incidents and reduce downtime.
This is not a call-center support role and not a pure development role — it is a hands-on technical position focused on debugging, incident handling, and system operations.
Tech Stack
Google Cloud Platform (Compute, Logging, Monitoring)
Java (Spring Boot based microservices)
MongoDB
Apache Kafka (event-driven architecture)
Redis cache
Linux servers
Key Responsibilities
Production Monitoring & Alert Handling
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 issue is infra, application, database, or messaging related
Incident Response
Participate in on-call rotation
Diagnose production incidents and restore services with minimal downtime
Safely restart services, scale instances, or rollback deployments when required
Communicate incident status to stakeholders
Technical Support & Operational Changes
Handle technical support tickets requiring engineering understanding
Update configurations and feature flags
Manage scheduled jobs / cron triggers
Trigger or replay events in Kafka
Assist in minor Java configuration/code fixes when needed
Coordinate production releases
Database & Messaging Operations
Investigate MongoDB performance issues and slow queries




Monitor and resolve Kafka consumer lag and stuck messages
Manage Redis cache behavior (TTL, eviction, connection issues)
Logs & RCA
Analyze logs and metrics to determine root cause of issues
Prepare basic Root Cause Analysis (RCA) reports
Suggest preventive actions to reduce recurring incidents
Required Skills
Core Technical Skills
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 & deploy)
Practical experience with MongoDB (indexes, connections, slow queries)
Understanding of Kafka concepts (consumer, offset, lag, partitions)
Basic Redis knowledge (caching behavior, TTL)
Cloud & Tools
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
What We Expect From You
Ability to investigate problems logically rather than randomly restarting services
Comfort working with live production systems
Willingness to participate in on-call support
Solid ownership mindset and attention to detail
Good communication during incidents
Good 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
Experience
3 – 6 years of relevant experience in production support, application support, SRE, DevOps operations, or similar roles.
Why Join Us
Direct exposure to real distributed systems
Hands-on production debugging experience
Opportunity to learn system architecture deeply
Close interaction with development and platform teams
Important Note
This role involves handling live production systems and occasional on-call responsibilities. Candidates interested only in feature development or pure infrastructure automation may not find this role suitable.

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