On-Site
Full-Time
Bangalore Urban, Karnataka
India
Skills
Amazon Web Services (AWS)
Jenkins
Databases
About the Role
AI Platform Engineer:
8+ years experiences on relevant field below (Internship, prototype, and personal projects do not count)
Coding is required. (Ideally Python or Java)
Experience in DevOps Culture (Own development – deployment end to end)
Experience in building or deploying solution in the cloud. Either on Cloud Native or Agnostic solutions:
i. Cloud Native (Serverless): S3, Lambda, AWS Batch, ECS
ii. Cloud Agnostic: Kubernetes services.
CICD experience: Github action or Jenkin.
Infrastructure as code: Terraform
And experience in at least one of this focus area:
Big data: Building Big data pipeline or Platform to process petabytes of data. Kafka, Debezium, Lakehouse (Hudi/Iceberg/Delta Lake), Spark, Glue, EMR.(preferred)
Graph Databases: Ingesting and consuming data in Graph Database such as Neo4J, JanusGraph or DGraph
MLOps: Infrastructure and Operation: Kafka, KNative, KServe, Nvidia Triton, Ray Serve, MLflow, Sagemaker
8+ years experiences on relevant field below (Internship, prototype, and personal projects do not count)
Coding is required. (Ideally Python or Java)
Experience in DevOps Culture (Own development – deployment end to end)
Experience in building or deploying solution in the cloud. Either on Cloud Native or Agnostic solutions:
i. Cloud Native (Serverless): S3, Lambda, AWS Batch, ECS
ii. Cloud Agnostic: Kubernetes services.
CICD experience: Github action or Jenkin.
Infrastructure as code: Terraform
And experience in at least one of this focus area:
Big data: Building Big data pipeline or Platform to process petabytes of data. Kafka, Debezium, Lakehouse (Hudi/Iceberg/Delta Lake), Spark, Glue, EMR.(preferred)
Graph Databases: Ingesting and consuming data in Graph Database such as Neo4J, JanusGraph or DGraph
MLOps: Infrastructure and Operation: Kafka, KNative, KServe, Nvidia Triton, Ray Serve, MLflow, Sagemaker