Incident Response, Java, Typescript, C, Javascript, change management, systems engineering practices, Monitoring, service-level objectives

Distributed Systems, automation, reliability engineering, AI agents and tooling, AI-driven triage, chaos platforms, long-running customer-like environments, infrastructure and pipeline delivery, test infrastructure, extreme-scale simulation

Java, Spring Boot, React, Typescript, AWS, event-driven microservices, NoSQL databases, Claude Code, OpenAI Codex, GitHub Copilot, GraphQL APIs, Next.js

containerization , Data Modelling, Cloud Technologies, Sql, Sdlc, Nosql, Restful Apis, Kubernetes, LLMs, UI technologies, CI CD, data stores, agentic AI systems, microservices development, Production Operations, messaging systems such as Kafka, AI productivity tools such as Claude or GitHub Copilot, AI ML technologies, modern deployment practices, observability

Power Bi, Incident Response, Excel, Crisis Management, Kusto, Escalation handling

Golang, Apis, Prometheus, Grafana, Sql, Docker, Distributed Systems, Kubernetes, Python, NoSQL databases, cloud platforms, high-scale systems, observability tools, OpenTelemetry

Databases, Graphql, API design, Distributed Systems, Kubernetes, systems-design, large-scale systems, Backend APIs, GRPC

Pci Dss, Gdpr, Iso 27001, Terraform, Helm, Change management, Incident Response, Chaos engineering, SOC 2, Audit logging, Alerting, Least-privilege and just-in-time access, Game-day programmes, Progressive rollout and rollback, Artefact and secrets management

Ml, Authentication, Python, Software Architecture, Apis, Enterprise Applications, generative AI, LLMs, Security, vector search, Ai, cloud platforms, embeddings, CI CD, Source Control, RAG, Authorization

Java, S3, Hadoop, Scala, Nodejs, Data Modeling, Emr, Data Governance, Redshift, Sql, Hive, Ec2, Spark, Python, Semantic layers, GenAI solutions, Dashboard data models, Big data pipelines, AWS Tools and Technologies, ETL pipelines