Career Roadmaps

A path into cloud architecture as the job it actually is — trade-off analysis, migration of systems you did not write, disaster recovery you have rehearsed, decision records, and influence without formal authority.

A defensive security path for engineers who secure LLM and agent systems, covering AI threat modelling, prompt injection defence, supply chain integrity, agent permissions, guardrails, governance and incident response.

A path into observability as a craft of its own — wide events, signal correlation, telemetry cost, collector pipelines, high-cardinality analysis, continuous profiling, and running observability as a platform other teams consume.

A path into cloud security as an engineering discipline, covering the shared responsibility model, identity, network segmentation, encryption, workload hardening, detection, governance as code, threat modelling and incident response.

A path into database reliability engineering — replication and consistency, restores you have actually verified, zero-downtime schema migrations, corruption detection, databases on Kubernetes, and RTO and RPO as a contract.

A structured path from Linux fundamentals through cloud infrastructure, automation, containers, and monitoring to a production-ready DevOps engineering career.

The path DevOps engineers move into — building an internal developer platform as a product, covering Kubernetes as substrate, IaC at scale, GitOps, golden paths, portals, policy, multi-tenancy and adoption.

A path from configuring switches by hand to running a network as code — Python, structured device APIs, Ansible, a source of truth, automated testing, and telemetry that closes the loop.

A path from LLM and programming fundamentals through agent orchestration, tool use, and production deployment for building autonomous AI agent systems.

A path into the layer that turns a model into an agent — the loop, the system prompt, the tool surface, sandboxing, delegation and memory, built and operated in production.

A path from DevOps fundamentals into the specialized discipline of site reliability engineering, covering SLOs, observability, incident response, data reliability, and capacity planning.

A career path into cloud financial engineering, covering billing data, cost allocation, unit economics, rate and usage optimisation, forecasting, Kubernetes cost, and policy automation.