Tcp, Networking, Microservices, Distributed Systems, Tls, Python, AWS, Java, Http, Gcp, Load Balancing, Azure, Kubernetes, service mesh technologies, Go, Consul, GRPC, AI tool adoption, DevOps practices, Ip, Istio, service discovery, modern observability stacks, cloud-native infrastructure, Linkerd, Envoy, infrastructure as code, mTLS, platform infrastructure

Machine Learning, Kdb, Terraform, Agile Methodologies, automation, Python, Kubernetes, Application Resiliency, generative AI, AI technologies, Security, continuous delivery methods

containerization , Distributed Systems, Python, Risk methodologies, AI-assisted development, Real-time data processing, NoSQL databases, PnL calculation frameworks

React, Typescript, Node.js, AWS cloud-native infrastructure, CI CD pipelines, API-first system design, Cloud deployments, Git-based workflows, observability

Java, Microservices, Sql, Nosql, Incident Response, Devops, Gcp, Distributed Systems, Azure, Python, AWS, Payments, SRE, Go, IaC, SLOs, AI toolings, observability

.Net Core, data engineering , SAP integration, Azure Data Factory, Exploratory Data Analysis, SQL Server, Agile Development, Azure Cloud Services, Databricks, Microservices, order-to-cash accounting process