Role Description

Platform Engineer - AWS & Databricks Role: Platform Engineer - AWS & Databricks Experience: 5+ Years As a Platform Engineer, the candidate will be responsible for designing, provisioning, automating, and managing cloud infrastructure and data platforms on AWS and Databricks. The ideal candidate should have hands-on experience building scalable, secure, and cost-efficient cloud environments using Infrastructure as Code (IaC), modern DevOps practices, and cloud governance frameworks. The candidate should work closely with data engineering, analytics, security, and business teams to deliver reliable platform solutions. Technical Skills Must Have: Design, develop, and manage cloud platform infrastructure on AWS and Databricks. Strong experience with Infrastructure as Code (Terraform, AWS CDK, CloudFormation). Working knowledge of AWS services such as S3, IAM, Lambda, EC2, KMS, Security Groups, Secrets Manager, VPC, API Gateway, Route53, Transfer Family and workflow orchestration services (MWAA). Experience provisioning and managing Databricks workspaces, Unity Catalog,



clusters, SQL Warehouses, and platform governance controls. Robust programming and automation skills using Python. Experience implementing and maintaining CI/CD pipelines using Git-based workflows. Knowledge of security best practices including IAM, encryption, networking, Private Link, secrets management, and access controls. Experience supporting platform reliability, monitoring, troubleshooting, and performance optimization. Experience implementing governance, compliance, and audit controls in cloud environments. Familiarity with SOC 2 compliance requirements and security-focused operational practices. Ability to automate infrastructure provisioning, deployment, and operational processes. Good to Have: Experience with Databricks Asset Bundles (DABs), Databricks Workflows, and platform migration initiatives. Experience with monitoring, observability, and cost optimization frameworks. K

📌 Developer III (Pune)
🏢 UST
📍 Pune