We're looking for a motivated Platform Engineer to help design, build, and maintain scalable data platform infrastructure that supports smooth operations across our hybrid cloud environment. The role involves close collaboration with database, network, infrastructure, and business teams.

1. Data & AI Platform Operation and SupportConfigure and administer data platforms including security, performance, and scalability
   Create and manage user accounts and permissions, and manage data access
   Support the administration and daily operations of the data and AI platform, including issue resolution as needed
   Plan and execute upgrades, patches, and maintenance
   Develop and implement backup and recovery strategies
   Collaborate with IT teams to ensure integration with other systems
   Create and maintain SOP documentation
   Align with systems engineering to deploy/ expand environments
   Collaborate with application teams for OS installations and updates
2. Platform Optimization, Automation & Developer EnablementDrive continuous improvement in automation, optimization, and developer experience
   Explore and implement new data platform capabilities aligned with business needs
   Optimize platform performance and cost
   Champion "code base first" DevOps/ DataOps/ MLOps practices and build CI/CD pipelines for reliable Data & AI workflows
3. Observability and ReliabilityMonitor platform performance and troubleshoot issues
   Responsible for high availability and performance of applications on platforms
   Capacity planning and scaling
   24x7 monitoring of server performance, connectivity, and security
   File system management and monitoring
   Teaming with infrastructure, network, and BI teams to ensure data quality and availability
4. Governance and ComplianceEnsure smooth operations and support for the Data & AI platform
   Drive platform optimization, automation, and developer enablement
   Strengthen observability and system reliability

We are looking for people who

• Bachelor's Degree in Computer Science, Information Systems, or a related field
• At least 10 years of experience in platform implementation and administration with mandatory 2 years of hands-on experience in Tableau, Hadoop/Cloudera, Informatica, Dataiku and AWS or equivalent technologies.
• Practical experience with DevOps practices including automation, CI/CD, infrastructure as code, and code-first approaches for data workflows and deployments
• Strong expertise in implementing comprehensive monitoring solutions using tools like Prometheus, Grafana, Dynatrace and Datadog, combined with deep experience in SRE practices including SLI/SLO definition, incident response automation, chaos engineering, and distributed tracing across microservices architectures
• Skills in driving continuous improvement through automation tools, optimizing platform performance and costs, and enhancing developer experience
• Good understanding of OS concepts, process management and resource scheduling
• Basics of networking, CPU, memory and storage
• Good hold of shell scripting

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