Overview
Infrastructure Support Engineer II in Cloudera's Cloud Operations team, providing a fast, reliable support service across the global infrastructure estate, covering cloud, on-premises and AI platform services.
What you'll do
- Own and resolve day-to-day cloud operational requests across AWS, Azure and Google Cloud, including access, identity, account lifecycle and resource queries
- Provide support for the internal AI platform, including access and key management, usage and quota questions, model availability, and onboarding new teams onto the platform
- Support on-premises private cloud and Cloudera platform deployments, handling user access, environment queries and documented break-fix, and escalating operational issues to the engineers who own the stack
- Triage, diagnose and resolve Tier 1 and Tier 2 issues, escalating cleanly with good evidence when an issue needs platform engineering or architecture input
- Execute documented change against the cloud estate safely and accurately, and raise simple infrastructure-as-code changes for review
- Write and maintain runbooks and knowledge base articles so that recurring requests become self-service
- Use AI-assisted tooling to triage, research and draft resolutions faster, while remaining accountable for the accuracy of every answer that reaches a requester
- Maintain the accuracy of configuration management data and the service catalog
- Maintain the inputs to the Infrastructure-As-Code and GitHub workflow
- Handle first-line cloud cost and tagging questions, escalating complex optimization work to the FinOps team
- Own the handover between time zones so nothing is dropped between regions
- Identify requests that should not exist and propose the automation that removes them
What you'll need
- Two to four years of experience in cloud operations, infrastructure support or IT support, across cloud or on-premises environments
- Working knowledge of AWS, plus Azure or Google Cloud
- Experience working a ticket queue in a service management tool, ideally ServiceNow
- Confidence at the command line and with Linux
- Excellent written communication
- A track record of following documented process accurately, and improving it where it falls short
- An interest in identity and access concepts such as SSO, IAM and single sign-on group management
Nice to have
- Exposure to GitHub, Terraform or other infrastructure as code
- Exposure to cloud cost management or FinOps practices
- Experience using AI or large language model tooling in a professional setting
- An associate-level cloud certification
Details
- Location: India, Bangalore, Remote
- Reports into Cloud Operations and works closely with platform engineering, FinOps and identity teams
- Flexible WFH policy
Read the full description and apply on the company’s own careers page.