Job Title : Senior Platform Engineer Python / Airflow / Databricks / AWS.

Experience : 5- 10 Years.

Location : Pune (Work from Office 5 Days Mandatory).

Shift Timing : 12:00 PM to 9:00 PM IST.

Expected Joining : First Week of July 2026.

Role Overview :

We are looking for a highly experienced Senior Platform Engineer with strong expertise in Python, Apache Airflow/Astronomer Astro, Databricks, and AWS cloud technologies. The candidate will play a key role in designing, automating, administering, and supporting enterprise-scale cloud platform and data engineering solutions. The ideal candidate should possess strong hands-on technical expertise, leadership capabilities, excellent troubleshooting skills, and experience collaborating with architects, stakeholders, and distributed global teams.

Key Responsibilities :

- Design, build, automate, and support scalable platform engineering solutions using Python.

- Develop, maintain, and troubleshoot Apache Airflow DAGs within Astronomer Astro environments.

- Administer and integrate Databricks environments including : Workspaces, Clusters, Jobs, Notebooks, and Unity Catalog.

- Manage and support AWS cloud services including : IAM, EKS, S3, Lambda, Secrets Manager, CloudWatch, and Networking components.

- Implement Infrastructure as Code (IaC) using Terraform.

- Build and maintain CI/CD pipelines and deployment automation using Harness and GitOps methodologies.

- Design reusable self-service onboarding frameworks and platform automation capabilities.

- Ensure cloud security, governance, compliance, and best practices.

- Troubleshoot infrastructure, networking, integrations, platform, and application-related issues.

- Collaborate with onshore architects, engineering teams, and client stakeholders.

- Drive operational excellence, documentation, monitoring, and continuous improvements.

Required Skills & Experience :

- 8- 10 years of overall IT experience.

- Strong hands-on expertise in Python development for automation and platform engineering.

- Extensive experience with Apache Airflow and/or Astronomer Astro.

- Strong Databricks administration and integration experience.

- Strong AWS cloud experience including IAM, EKS, S3, Lambda, Secrets Manager, CloudWatch, and networking.

- Expertise in Terraform and Infrastructure as Code practices.

- Experience in CI/CD automation and deployment pipelines.

- Hands-on experience with Harness and GitOps methodologies.

- Strong understanding of cloud security, IAM roles/policies, governance, and secrets management.

- Experience building reusable platform services and self-service onboarding workflows.

- Excellent analytical, troubleshooting, and stakeholder management skills.

- Experience working in enterprise-scale global delivery environments.

Preferred Qualifications :

- Experience supporting enterprise-scale cloud data platforms.

- Exposure to Kubernetes and containerized deployments.

- Experience with observability and monitoring tools.

- Strong understanding of DevOps and Platform Engineering best practices.

- AWS and/or Databricks certifications preferred.