Gcp, MLops, Incident Management, Scripting Languages, automation, Azure, Kubernetes, data platforms, cloud platforms, Monitoring, infrastructure as code tools, hybrid architectures, CI CD capabilities, Platform Engineering, reliability engineering principles

Prometheus, Kafka, Elasticsearch, Kubernetes, chaos testing, ClickHouse, distributed tracing, streaming telemetry pipelines, distributed log indexing, multi-cloud infrastructure, Capacity Planning, OpenTelemetry, high-cardinality metrics engines, automated incident triage, AI ML technologies, site reliability engineering principles

react.js , containerization , Golang, PostgreSQL, Node.js, API design, Sql, Microservices, Redis, Nosql, Gcp, MongoDB, Azure, Nestjs, AWS, Testing, Distributed Systems, System Design, System Monitoring, Agile Software Development, event-driven architectures, Next.js, Ai, code reviews, frontend architecture, data sharding, performance optimization, ML frameworks

containerization , Microservices, Data architecture principles for AI-ready systems, Vector databases, Semantic search technologies, API design and integration patterns, Agentic design patterns, AI-assisted development practices, Responsible AI practices and governance, Engineering modernization, AI ML technologies and frameworks

.NET, C#, React, Typescript, Azure DevOps, Dapr, evaluation and observability tooling, Azure OpenAI, Azure AI Foundry, Azure Container Apps, Claude Code or equivalent agentic development tooling, Semantic Kernel, Azure AI Search, Microsoft Fabric, CI-CD

Apis, Cloud Infrastructure, Kubernetes, AWS, Enterprise agentic platforms, Agentic AI Platforms, Evaluation Governance, Automated remediation, Observability Ops, Accuracy scoring, Audit services, MCP-based architectures, Orchestration frameworks, Containerized services, Enterprise evaluation frameworks, cost tracking, Workflow automation, tracing, Integration Delivery, CI CD for AI applications, AI-driven monitoring

Unix, Hadoop, CSS, Scala, Greenplum, Microservices, Sql, Angular, Javascript, DB2, shell scripting, Linux, Spark, MongoDB, Rest Apis, Python, Full Stack Java development

Gcp, Terraform, Node.js, Azure, Python, Kubernetes, AWS, Go

Apis, Microservices, Enterprise Integration, Distributed Systems, Containers, Python, Kubernetes, GenAI, cloud-native architecture, infrastructure automation, secure development, modern data platforms, observability, vector search, agentic workflows, model evaluation, RAG, Production Monitoring, CI/CD, safety controls, major cloud platform

Devops, Jenkins, Git, Docker, Kubernetes, Python, AgenticAI frameworks, R, AI ML engineering, CI CD tools