
Search by job, company or skills
Showing 8 jobs
Skills:
AWS EKS, Terraform, Helm, Kubernetes, Python, LLM tooling, GitOps, MCP servers, FinOps, Kustomize, Go, Datadog APM, Argo CD, GitHub Actions, LLM gateway and router patterns, CI/CD, Agentic workflows, Service mesh
Skills:
snowflake , Zookeeper, Java, Postgres, Hadoop, Kafka, AWS, Redis, Cassandra, Kubernetes, Python, Docker, Terraform, Envoy, Flink, Go
Skills:
containerization , Java, Microservices, Automated Testing, Kubernetes, Python, Apis, Databases, stream-processing technologies, orchestration technologies, observability tooling, Go, cloud platforms, generative AI tools, data engineering pipelines
Skills:
Spark, Sql, Azure Databricks, Python, Mosaic AI, AI Playground, Unity Catalog, AI Functions, Agent Framework, Delta Lake
Skills:
bedrock , Java, Cloudformation, Iam, Asynchronous programming, AWS, FastAPI, Kubernetes, Python, EKS, vLLM, Envoy, Go, GPU scheduling, MCP, LangChain, RAG, A2A protocols, LangGraph, Prompt engineering, containerised infrastructure, Istio, Google ADK, service mesh technologies, Aurora, Agentic AI, Generative AI
Skills:
containerization , Java, Performance Tuning, Microservices, Gcp, Distributed Systems, Rest Apis, Azure, Python, AWS, event-driven architectures, asynchronous processing, Monitoring, Problem-solving, observability
Skills:
developing production-grade backend services using Python, observability and monitoring tools, relational and non-relational databases, infrastructure-as-code, cloud provisioning frameworks such as Terraform or CloudFormation, identity and access management technologies, container orchestration such as ECS Fargate, secrets management, pipeline automation with Azure DevOps, networking and load balancing, LLM API gateway technologies, asynchronous programming frameworks, multi-provider integration across major cloud AI platforms, containerisation with Docker
Skills:
testing practices , Coding Standards, System Design, GraphRAG, Retrieval pipelines, RAG, AI-Driven systems, Knowledge bases, ontologies, Evidence-based reasoning layers, Optimization, Schema governance, semantic search, Embeddings, LLM-powered applications, Engineering best practices, Integration solutions, Semantic models, Ai, Agents, Data Validation, Predictions, Hybrid search, Knowledge graphs, Versioning practices, Knowledge Representation, Taxonomies
