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Palantir Foundry / AIP DevOps Engineer

9 years

0 Lacs

Pune Maharashtra India

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

devops ai development automation design deployment support engineering data governance security versioning strategy drive ml software architecture pipeline code gitops strategies python java typescript sql spark pyspark aws azure gcp leadership communication engagement certifications developer mentoring agile consulting

Work Mode

On-site

Job Type

Full Time

Job Description

Strategic Responsibilities:

  • Architect enterprise-grade solutions using Palantir Foundry and AIP
  • Lead AI application development, including agentic AI for business process automation
  • Own end-to-end solution lifecycle: design → development → deployment → production support
  • Define DevOps and platform engineering standards for Foundry deployments
  • Guide data governance, security, and CI/CD automation across teams
  • Collaborate with global teams to build scalable frameworks and reusable templates
  • Lead environment governance, versioning strategy, and platform upgrade planning.
  • Act as a technical advisor to stakeholders, translating complex requirements into actionable solutions.
  • Drive innovation by integrating emerging AI/ML capabilities into Foundry workflows
Requirements
  • 9+ years in software engineering, data architecture, or AI/ML
  • Deep experience with Foundry (Ontology Manager, Pipeline Builder, Code Workbook, Contour)
  • Advanced knowledge of Palantir AIP, GenAI, and LLM integrations
  • Experience managing production environments and observability tools
  • Strong foundation in GitOps, CI/CD automation, and branching strategies
  • Proficiency in Python, Java, TypeScript, or C++
  • Strong grasp of SQL, Spark, PySpark, and data modeling
  • Familiarity with cloud platforms (AWS, Azure, GCP) and DevOps
  • Excellent leadership, communication, and stakeholder engagement

Preferred Qualifications:

  • Palantir certifications (Foundry Basics, Developer Track)
  • Experience mentoring teams and leading agile delivery
  • Knowledge of DeVOps, data lineage, and automated deployments
  • Background in platform engineering, enterprise architecture, or solution consulting

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