Github, Node.js, Devops, Docker, Shell scripting, Gitlab, Python, Kubernetes, AWS cloud services, AI-assisted development tools, DORA metrics, Platform Engineering

Software Development, test automation, API design, Data Modeling, System Design, operational tooling, robust APIs, modern programming language, scalable and resilient services, designing and building services or applications, engineering best practices, CI/CD pipelines, data-driven analysis, low-level design, integration patterns, security hardening

Hld, Lld, Solid Principles, AWS, embeddings, system design fundamentals, production LLM agent systems, chunking strategies, vector databases, hybrid retrieval, tool calling MCP, RAG pipelines, agent loops, retrieval data layer

strace , Cmake, Gdb, Valgrind, Gcc, Microservices, Jenkins, Git, Shell, Linux, Sonarqube, Python, automated testing of REST APIs, SBOM, make, Cosign, Clang, ARM System Engineering, GitLab CI, GitHub Actions, Blackduck, SQL databases, PERF

Serverless Computing, Testing, Coding Standards, AWS, build processes, architecture design patterns, reliability and scaling, code reviews, source control management, operations, full software development life cycle, distributed NoSQL data stores

Python, RAG architectures, Intelligent automation, AI ML development and integration, DevOps practices, CI/CD

File Systems, Replication, Linux, multithreading, Python, Iscsi, Fc, debugging of distributed systems, Unix Systems, high-availability systems, test automation frameworks, SAN protocols, test automation for scale performance and stress scenarios, test infrastructure, data paths, system-level testing, NVMe-oF