Job Description
Job Title: Senior Platform Engineer – Python / Airflow / Databricks / AWS
Experience: 8–10 Years
Location: Pune (Work from Office – 5 Days Mandatory)
Shift Timing: 12:00 PM to 9:00 PM IST
Contract Duration: 6 Months
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
Unity Catalog
Manage and support AWS cloud services including:
IAM
EKS
S3
Lambda
Secrets Manager
CloudWatch
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
Additional Information
Pune-based candidates preferred
Mandatory work from Pune office (5 days/week)
Interviews expected over the next 1–2 weeks
Job Type: Full-time
Pay: Up to ₹1,800,000.00 per year
Work Location: In person
