Job Title: Senior Platform Engineer – Python / Airflow / Databricks / AWS
Experience: 8–10 Years
Location: 100% Remote
Shift Timing: 12:00 PM to 9:00 PM IST
Contract Duration: 6 Months
Expected Joining: First Week of July 2026
We are looking for 50% Data Engineer and 50% DevOps Enginee
r
Role Overvi
ewWe 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 solution
s.The ideal candidate should possess strong hands-on technical expertise, leadership capabilities, excellent troubleshooting skills, and experience collaborating with architects, stakeholders, and distributed global team
s.
Key Responsibilit
- iesDesign, build, automate, and support scalable platform engineering solutions using Pyt
- honDevelop, maintain, and troubleshoot Apache Airflow DAGs within Astronomer Astro environme
- ntsAdminister and integrate Databricks environments including: Workspaces Clusters Jobs Notebooks Unity Cata
- logManage and support AWS cloud services including: IAM EKS S3 Lambda Secrets Manager CloudWatch Networking compone
- ntsImplement Infrastructure as Code (IaC) using Terraf
- ormBuild and maintain CI/CD pipelines and deployment automation using Harness and GitOps methodolog
- iesDesign reusable self-service onboarding frameworks and platform automation capabilit
- iesEnsure cloud security, governance, compliance, and best practi
- cesTroubleshoot infrastructure, networking, integrations, platform, and application-related iss
- uesCollaborate with onshore architects, engineering teams, and client stakehold
- ersDrive operational excellence, documentation, monitoring, and continuous improveme
nts
Required Skills & Experi
- ence8–10 years of overall IT experi
- enceStrong hands-on expertise in Python development for automation and platform enginee
- ringExtensive experience with Apache Airflow and/or Astronomer A
- stroStrong Databricks administration and integration experi
- enceStrong AWS cloud experience including IAM, EKS, S3, Lambda, Secrets Manager, CloudWatch, and networ
- kingExpertise in Terraform and Infrastructure as Code pract
- icesExperience in CI/CD automation and deployment pipel
- inesHands-on experience with Harness and GitOps methodolo
- giesStrong understanding of cloud security, IAM roles/policies, governance, and secrets manage
- mentExperience building reusable platform services and self-service onboarding workf
- lowsExcellent analytical, troubleshooting, and stakeholder management sk
- illsExperience working in enterprise-scale global delivery environm
ents
Preferred Qualifica
- tionsExperience supporting enterprise-scale cloud data plat
- formsExposure to Kubernetes and containerized deploy
- mentsExperience with observability and monitoring
- toolsStrong understanding of DevOps and Platform Engineering best prac
- ticesAWS and/or Databricks certifications pref
erred
