Cloud Administrator

Job Title:

Cloud Administrator

Experience:

3–4 Years

Team:
Data Operations

Role Type:
Production Support & Platform Administration

Location:

Hitech City, Hyderabad (BPMLinks)

Job Summary

We are looking for a Dev Ops / Data Platform Engineer with 3–4 years of experience to support and administer our data platforms. The role focuses on production support, Snowflake administration, Kafka administration, and close collaboration with the Data Engineering team to ensure reliable, scalable, and secure data systems.

Key Responsibilities

Production Support

• Provide L2/L3 production support for data pipelines and platforms

• Monitor system health, data loads, and job failures

• Perform root cause analysis and resolve incidents within SLA

• Participate in on-call rotation and incident management

Snowflake Administration

• Manage Snowflake accounts, warehouses, roles, users, and access controls

• Monitor performance, cost usage, and optimize queries/warehouses

• Support data refreshes, migrations, and environment management (dev/test/prod)

• Implement security best practices and auditing

Kafka Administration

• Administer Kafka clusters (topics, partitions, consumer groups)

• Monitor Kafka performance, lag, and throughput

• Troubleshoot producer/consumer issues

• Support schema management and data reliability

Dev Ops & Automation

• Work with CI/CD pipelines for data and platform deployments

• Automate operational tasks using scripts (Python/Shell)

• Support cloud infrastructure (AWS/Azure/GCP preferred)

• Collaborate with Dev Ops and platform teams on reliability improvements

Collaboration

• Work closely with Data Engineers, Analytics, and Dev Ops teams

• Assist with deployments, migrations, and platform upgrades

• Document operational processes and runbooks

Required

Skills & Qualifications

• 3–4 years of experience in Dev Ops, Data Operations, or Production Support

• Strong hands-on experience with Snowflake administration

• Experience administering Apache Kafka

• Solid understanding of data pipelines and distributed systems

• Experience with Linux, scripting (Python/Shell)

• Familiarity with cloud platforms (AWS preferred)

• Strong troubleshooting and communication skills