Java, BigQuery, Hive, Spark, Python, Linux systems

Algorithms, Software Development, Machine Learning, Storage, Networks, Distributed Systems, Debugging, data structures, compute technologies, Search and information retrieval, Data Processing, fine tuning, model deployment, large-scale infrastructure, model evaluation, distributed machine learning, Hardware Architecture

Nvme, Performance Tuning, Ceph, automation, file NFS, tiered storage, distributed storage systems, Disaster Recovery, IaC, Monitoring, data durability, Capacity Planning, CI/CD pipelines

Golang, PostgreSQL, AWS Fargate, Dropwizard, Terraform, Docker, Distributed Systems, MySQL, Java, multi-threading, Redis, Spring, Jenkins, Restful Apis, Kubernetes, asynchronous processing, OAuth 2.0, GitHub Actions, JWT tokens, gRPC services, CI/CD automation tools, ArgoCD, Infrastructure-as-Code, OIDC

C, Debugging, Tls, Python, Kernel, Ipsec, C++, Ike, Cryptography, Ssh, Pki, full-disk encryption, Linux kernel internals, system-level security engineering, Secure boot, Tpm, TPM2.0 device integration, Hardware Root of Trust, fips, NIAP CC, CIS, Security Protocols, OS security, Performance Analysis

Java, Distributed Systems, C++, Kafka, Microservice Architecture, Spark Streaming, metrics, Python, Logging, Go, Flink, Beam, Samza, tracing, Pub-Sub Systems

API security, Logging, Microservices, Docker, Distributed Systems, Authentication, AWS, Node.js, Redis, Fault Tolerance, Kubernetes, idempotency, observability practices, Go, cloud-native deployments, asynchronous processing, CI CD, alerting, Relational Databases, Authorization, tracing, backend security, message queues, HTTP REST APIs, NoSQL databases, event-driven systems, Monitoring, retries, Caching, rate limiting, concurrency control

Java, Kotlin, AWS, GraphQL APIs, LLM-powered applications, AI coding assistants