Apis, MLops, Docker, Authentication, Kubernetes, Python, AWS, Distributed services, MCP servers, CI CD, Observability

.NET, Nunit, C#, Dependency Injection, Test Data Management, Service Virtualization, Microservices, Sipp, Databases, Concurrency, Selenium, Graphql, Git, Authentication, Distributed Systems, Kubernetes, Software design principles, Extensible architecture, Authorization, Automated reporting, Event-driven integrations, Quality gates, GQL, Containerized test environments, CI/CD architecture, Playwright, API contracts, REST API automation frameworks, RESTSHARP, Asynchronous execution, SIP, Parallel execution

C, Shell, Verilog, Python, Systemc, Test Planning, Tcl, systemverilog, constrained-random verification, transaction-level modeling, formal verification, power-aware verification, assertions, UVM-based testbench development, NoC bus and interconnect verification

PostgreSQL, Typescript, Docker, Terraform, Nestjs, AWS, Integration Architecture, Node.js, Distributed-systems fundamentals, CTV, Bidding infrastructure, Idempotency, Event ordering, Marketplace APIs, Retries, Durable workflows, Causal measurement, Event pipelines, Graceful degradation, Observability, curation, Backpressure, dbt, Programmatic advertising, Enterprise controls, Ad marketplaces

Yaml, Networking, Azure cloud services, Helm, Kubernetes, Azure DevOps, troubleshooting Kubernetes clusters, CI CD, Monitoring, infrastructure maintenance, GitHub Actions, Azure AKS, ArgoCD, security best practices

Golang, Distributed Systems, Containers, File Systems, Microservices, Infrastructure Services, Cloud Storage, Databases, Gcp, Rest Apis, Azure, Python, Kubernetes, AWS, Go, CI CD

certificate management , operational readiness , Full Stack Architecture Expertise, Observability Monitoring, Cloud Platforms Infrastructure, DevOps CI CD, Network Concepts, IT Service Management ITSM, Machine Learning ML, AI Architecture Pipeline Planning

data engineering , snowflake , Java, Apache Spark, Kafka, Spring Boot, Microservices, Docker, Databricks, Kubernetes, Generative AI, Infrastructure as Code, Flink, CI CD, Iceberg, Delta Lake

clocking , power delivery , C, Version Control Systems, Python, Git, chip finishing, distributed processing, physical verification flows, advanced-node SoC physical implementation, technology PPA optimization, EDA Tools, dynamic power, Timing, memories, low-power design methodologies, Libraries, Physical Verification, debug environments, technology-node tradeoffs, routing resources, congestion, UPF-based design, implementation methodology development, scripting skills, leakage