Incident Response, Distributed Systems, change management, compute technologies, large-scale infrastructure, Distributed Cloud On-Premise production operations, Machine Learning Infrastructure, systems engineering practices, Hardware Architecture, Monitoring, service-level objectives

Java, Distributed Systems, Kotlin, Scala, Agile processes, Algorithmic analysis, Object-oriented design

containerization , Java, Grafana, Arm, Cloudformation, Gcp, Terraform, Azure DevOps, Monitoring Tools, Elk, Datadog, Gitlab, Distributed Systems, AWS, Prometheus, Kubernetes, Python, Azure, Docker, Apis, Jenkins, Go, DevOps transformations, cloud-native architectures, GitHub Actions, Infrastructure as Code, microservices architecture

web performance , Graphql, API design, React, REST, Typescript, Distributed Systems, deployment strategies, Design systems, Container orchestration, Cloud-native development, accessibility best practices, service-oriented architecture, reusable UI components, component-based architecture, CI CD pipelines, release automation, containerized environments

Software Development, Storage Domain, Data Management, Agile Scrum Methodologies, AI Tools, Cloud BaaS, Filesystem Experience, DMaaS

Firewalls, Software Engineering, high-throughput low-latency systems, SWG, People Management, L4–L7 proxies, Zero Trust security models, high-performance datapath networking, large-scale distributed systems, network security fundamentals, packet processing, cloud-native architectures

data engineering , Sql, Data Factory, Cloud Storage, Cloud Engineering, DataFlow, Apache Beam, BigQuery, Power Bi, Etl, Dataproc, Gcp, ELT, Machine Learning, Python, Microservice Architecture, Data Modeling, Spark, Azure Fabric, Airflow, Monitoring, Ai, Synapse, OneLake, Pub Sub, Lakehouse Architecture, Cloud Composer, AI-driven Applications, Observability

Troubleshooting, Critical Thinking, Advanced analytical skills, Design and architecting large complex distributed systems, System design and architecture, Development operations, Agile software development lifecycle, Understanding of how to operate in a DevOps model, Deep knowledge of data structures and programming