Apis, Microservices, Gcp, Distributed Systems, Azure, Kubernetes, AWS, security basics, DevOps practices, cloud-based products, observability stacks, infrastructure-as-code, container orchestration, serverless cloud platforms

Ml, Distributed Systems, System Design, API design, LLMs, Production Operations, Ai, prompt engineering, RAG architectures

Ml, change management, Storage, Networks, Incident Response, Distributed Systems, compute technologies, Ai, Monitoring, large-scale infrastructure, e-commerce software, systems engineering practices, Hardware Architecture, service-level objectives

Apis, Gcp, Distributed Systems, Testing, Azure, Microservices, AWS, cloud architectures, CI CD, platform operations

Devops, Aws Services, Distributed Systems, System Design, Cloud Infrastructure, Software Engineering, microservices architecture, CI CD best practices, API-first platforms, large-scale backend systems

Serverless Computing, Scalability, High Availability, Agile Scrum, AWS, Etl, large-scale distributed systems, event-driven architectures, Resilience

Tco, engineering leadership, productionizing ML DS models, distributed data-heavy systems, budgeting, architecture platformization, developer tooling, Resource Planning

Memory Management, Python, AWS, LangChain, containerized deployment, audit logging, agentic AI, explainability, RAG tool orchestration, Pinecone, LangGraph, Evaluation, structured outputs, Authorization, Chroma, Langfuse, Production Monitoring, guardrails, AI governance, cloud-native AI platforms

Distributed Systems, Engineering practices and processes, Engineering Management, Performance optimization

privacy compliance , Gdpr, Apis, Distributed Systems, Software Engineering, data lifecycle, configuration platforms, low-code scripting, localisation systems, Reliability, extensibility platforms, SCALE, internationalisation, CCPA, developer productivity, data models, feature config rollout systems, data deletion systems, policy config management, platform infrastructure