740 Production Operations jobs in India

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

● 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

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

● 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

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

● 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

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

● 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

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

● 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

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

● 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

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

● 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

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

● 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