Platform Engineer - Data & AI
INR 2500K-4800K (estimate) Senior-level Full Time
Tasks
- Architect and build cloud native platforms on Google Cloud
- Build RAG pipelines and vector search systems
- Build real-time and batch data pipelines
- Build reusable AI platform services and APIs
- Design and build agentic platforms and multi agent systems
- Design event driven architectures using Kafka or Pub Sub
- Develop automation and self healing platform operations
- Develop microservices and APIs
- Enable platform automation with CI CD and GitOps
- Implement agent observability with tracing and monitoring
- Implement data governance metadata and lineage tracking
- Implement infrastructure-as-code with Terraform and Kubernetes
- Integrate LLMs and GenAI services into workflows
- Integrate OpenTelemetry Prometheus and Grafana
- Orchestrate multi agent workflows with agent frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Angular | Apache Kafka | Autogen | CI/CD | Cloud platform | CrewAI | Dataflow | Dataform | Faiss | Flink | GitOps | Google Cloud | Google Cloud Platform | Google Pub/Sub | Grafana | GraphQL | Java | Kubeflow | Kubernetes | LLM | Langchain | Langgraph | MCP | MLflow | Microservices | OpenAI | OpenTelemetry | Pinecone | Prometheus | Pub/Sub | Python | RAG | REST APIs | React | SQL | Spark | Spring Boot | Terraform | Vector Databases | Vertex AI | Vue | Weaviate | WebSockets
Education
N/A
Roles
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