Lead Data Platform Engineer - 11623

Bachelor's Degree and at least 8+ years of experience managing Big Data technologies and Data Pipelines.

Sound knowledge and experience in Linux administration and troubleshooting.

5+ years of experience in managing cloud infrastructure and platforms, such as AWS and Azure

Familiar with the current engineering landscape in the generative AI space and have a strong interest in AI and related technologies.

Strong expertise in MLOps and production-grade LLM operations. Proven track record in managing high-availability model inference clusters, automating model lifecycle management, and implementing advanced observability (latency, throughput, and error rate monitoring) specifically for AI workloads.

Have Bash or Python scripting experience

Experience with containerization, Amazon ECS, EKS/ Azure AKS

Experience with tools like Chef, Ansible, Jenkins, Rundeck, or equivalent

Experience with source control systems such as Git and operating in complex branching strategies

Experience with Infrastructure as Code products like Terraform, helm charts

Good understanding of DNS and Load balancers setup and troubleshooting

Experience in Big Data platforms/Data lakes and managing Business Intelligence tools (like looker..)

Knowledge in ApacheSpark architecture and troubleshooting Java applications.

Basic understanding of MySQL Server and general database knowledge

Excellent written and verbal communication with a passion for solving the problem

Confidence in your ability to own and deliver projects and issues to resolution on your own & can think and act globally

Deep experience in Day 2 cloud operations, including automated incident remediation, capacity planning, and managing large-scale production cloud environments with a focus on performance and reliability.