Platform Engineer

• Develop and maintain real-time and batch data pipelines using tools like Airflow, dbt, Dataform, and Dataflow/Spark
• Design and develop event-driven architectures using Apache Kafka, Google Pub/Sub, or equivalent messaging systems
• Build and expose high-performance data APIs and microservices to support downstream applications, ML workflows, and GenAI agents
• Architect and manage multi-cloud and hybrid cloud platforms (e.g., GCP, AWS, Azure) optimized for AI, ML, and real-time data processing workloads
• Build reusable frameworks and infrastructure-as-code (IaC) using Terraform, Kubernetes, and CI/CD to drive self-service and automation
• Ensure platform scalability, resilience, and cost efficiency through modern practices like GitOps, observability, and chaos engineering
• Lead initiatives in data modeling, semantic layer design, and data cataloging, ensuring data quality and discoverability across domains
• Implement enterprise-wide data governance practices, schema enforcement, and lineage tracking using tools like DataHub, Amundsen, or Collibra
• Guide adoption of data fabric and mesh principles for federated ownership, scalable architecture, and domain-driven data product development
• Integrate LLM APIs (OpenAI, Gemini, Claude, etc.) into platform workflows for intelligent automation and enhanced user experience
• Build and orchestrate multi-agent systems using frameworks like CrewAI, LangGraph, or AutoGen for use cases such as pipeline debugging, code generation, and MLOps
• Experience in developing and integrating GenAI applications using MCP and orchestration of LLM-powered workflows (e.g., summarization, document Q&A, chatbot assistants, and intelligent data exploration)
• Hands-on expertise building and optimizing vector search and RAG pipelines using tools like Weaviate, Pinecone, or FAISS to support embedding-based retrieval and real-time semantic search across structured and unstructured datasets
• Create extensible CLIs, SDKs, and blueprints to simplify onboarding, accelerate development, and standardize best practices
• Streamline onboarding, documentation, and platform implementation & support using GenAI and conversational interfaces
• Collaborate across teams to enforce cost, reliability, and security standards within platform blueprints
• Act as a thought leader across engineering by introducing platform enhancements, observability, and cost optimization techniques
• Mentor junior engineers and foster a culture of ownership, continuous learning, and innovation

Principal Platform Engineer – Data & AI

Security Platform Engineer – SIEM Admin

Senior Associate, Security Platform Engineer

Senior Platform Engineer

Platform Engineer – AI

Platform Engineer III