Your Role

Design and build a scalable data and AI platform supporting batch and streaming workloads.
Establish standardized infrastructure, frameworks, and best practices for data and AI workloads.
Build and manage orchestration frameworks such as Airflow, Prefect, or Dagster, including reusable pipeline templates.
Enable self-service data access through APIs, query engines, and semantic layers.
Develop infrastructure to support AI/ML training, experimentation, deployment, reproducibility, and model versioning.
Implement platform-wide logging, monitoring, alerting, governance, security, and access controls.
Define and maintain SLAs for platform services and data pipelines.
Standardize datasets as discoverable, documented, versioned, and reusable data products.
Build internal platform capabilities and tooling that improve developer experience and engineering productivity.
Design systems that scale with increasing data volumes and concurrent workloads without frequent re-architecture.
Collaborate with engineering, data,



and business teams to align platform capabilities with business and data use cases.

To Succeed, You Will Need

Bachelor’s or master’s degree, or equivalent practical experience.
4+ years of experience in data platform, backend, infrastructure, or related engineering roles.
Strong experience in data platform or infrastructure engineering.
Proven experience designing and building scalable distributed systems.
Deep understanding of data pipelines, storage systems, APIs, and data architecture.
Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
Experience with orchestration tools such as Airflow, Prefect, or Dagster.
Solid knowledge of data technologies such as Spark, Kafka, Snowflake, or BigQuery.
Experience with Infrastructure as Code tools such as Terraform or similar.
Understanding of platform reliability, observability, security, and data governance.
Experience building reusable platforms, frameworks, or internal developer tools.

📌 AI Platform Engineer (Pune)
🏢 Edwards Vacuum
📍 Pune