Data Platform ProdOps Engineers

Company Overview

(Company details are not specified.)

Job 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 large-scale data platforms 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 a strong discipline in executing standard operating procedures and documenting outcomes. This position requires close collaboration with developers and product teams in a cross-timezone environment.

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.

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 Skills

• 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.

Experience

• Minimum of 3 years of relevant experience in production operations or DevOps roles.

Environment

• Location: Bangalore.
• Often involves collaboration with remote teams and requires effective communication across different time zones.

Salary

(Salary specifics are not mentioned.)

Growth Opportunities

• 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.

Benefits

(Benefits details are not specified.)