Data Platform ProdOps Engineer

Title : Data Platform ProdOps Engineer

Bengaluru, KA

Role Summary

We are seeking a proactive and detail-oriented Production Operations Engineer to join our Data Platforms team. This role plays a critical part in maintaining the stability and reliability of our large-scale data platform by providing hands-on operational support, system monitoring, and first-line incident triage.

The ideal candidate is comfortable working in containerized environments, has solid Linux fundamentals, and demonstrates strong discipline in executing standard operating procedures and documenting outcomes. This position requires close collaboration with Shanghai and San Jose based developers and product teams in a cross-time zone environment.

Key Responsibilities

Monitor production systems and job pipelines; respond promptly to alerts and anomalies

Troubleshoot operational issues in collaboration with the development team

Investigate incidents using logs, metrics, and observability tools (e.g., Grafana, Kibana)

Perform recovery actions such as restarting pods, rerunning jobs, or applying known mitigations

Operate in Kubernetes environments to inspect, debug, and manage components

Support deployment activities through post-release validations and basic checks

Validate data quality and flag anomalies to the relevant engineering teams

Maintain clear documentation of incidents, actions taken, and resolution outcomes

Communicate effectively with remote teams for operational handoffs and follow-ups

Required Qualifications

3 years of experience in production operations, system support, or devops roles

Solid Linux skills (e.g., file system navigation, log analysis, process / network troubleshooting)

Hands-on experience with Kubernetes and Docker in production environments

Familiarity with observability tools (e.g., Grafana, Kibana, Prometheus)

English proficiency for reading, writing, and asynchronous communication

Strong execution discipline and ability to follow structured operational procedures

Preferred Qualifications

Scripting ability (Python or Shell) for log parsing and automation

Basic SQL skills for data verification or debugging

Experience with Hadoop and Flink pipelines for batch and stream processing is a strong plus

Experience with large-scale distributed data systems or job scheduling frameworks

What We Offer

Opportunity to work with a highly experienced global engineering team

Exposure to enterprise-scale data systems and platform operations

Structured onboarding and mentoring support

Long-term growth potential in devops, platform, or data infrastructure domains