model selection , Information Retrieval, Deep Learning, Scalability, Nlp, offline evaluation, failure recovery, LLMs, Indexing, distributed-data systems, schema evolution, large-scale processing, data and feature strategy, Monitoring, classical ML, model or data drift, document understanding, applied machine learning, production ML infrastructure, ML-powered Search, observability, content representations

application networking , Site Reliability Engineering (SRE, SSL, Openshift, Cisco, Devops, Waf, Gcp, Terraform, Tcp/ip, Dns, VMware, Ansible, AWS, Routing, Tls, Kubernetes, Python, Azure, F5 BIG-IP, AVI Load Balancer, CI/CD pipelines, Switching, Infrastructure as Code, Zero Trust, Global Load Balancing

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

Docker, Kubernetes, Authentication, Python, AWS, MCP servers, MLOps engineering, CI CD for ML model lifecycle, Service Engineering, secure APIs, authorisation, distributed services, observability

.NET, Java, React, Kotlin, Agile Software Development, AWS

Java, Spring Boot, Kafka, Kotlin, AWS

Performance Tuning, Kafka, Spark, Apache Iceberg, Debezium, object-store-based data architectures, CockroachDB, columnar database architecture, Flink, Beam, Vitess, distributed relational databases, batch data pipelines

Java, Distributed Systems, Networking, Prometheus, Kafka, Programming, Grafana, Automation, Cloud, Kubernetes, Reliability Engineering, Infrastructure as Code, Streaming Data Processing, Go, Flink, Security, Network Telemetry, Metrics and telemetry architecture, Observability

VMware, Jenkins, Netapp Storage, Terraform, Linux, Dynatrace, AWS CloudWatch, Kubernetes, Enterprise Networking, OpenTelemetry, Azure Monitor

Java, Terraform, Docker, AWS CloudFormation, Spring Boot, Kubernetes, AWS, Micronaut, DMARC, SPF, DKIM