Services
DevOps Consulting
30–60%
lower cloud costs
99.9%+
system uptime
90%
faster setup
5×
faster deployments
What I do
- Cloud architecture design and review on AWS, Azure, and GCP
- CI/CD pipeline design and optimisation with GitHub Actions and similar tools
- Kubernetes cluster setup, tuning, and resource efficiency improvements
- Infrastructure as code with Terraform — modular, reusable, auditable
- Cloud cost analysis and rightsizing to reduce wasteful spend
- Observability setup so your team can actually see what is happening in production
My experience
Discovery first
I start by understanding your current setup, costs, and pain points before recommending anything.
Practical output
You get working infrastructure and documentation, not just a slide deck with recommendations.
Knowledge transfer
Your team understands what was built and why, so they can own it after the engagement ends.
Clear communication
No jargon overload. I explain trade-offs in plain language so you can make informed decisions.
Ready to stop firefighting your infrastructure and start building with confidence?
Agentic DevOps
I help teams use AI agents to automate the repetitive, time-consuming parts of DevOps — code review, log analysis, incident troubleshooting, and knowledge lookup. Less manual work, faster delivery.
70%
PR review automated
60%
less debugging time
Instant
knowledge answers
Custom
AI agents built
What I do
- AI-powered PR review agents that check code quality, security, and standards automatically
- Log analysis agents that surface the root cause of incidents faster than manual triage
- Knowledge base agents that give developers instant answers from your internal documentation
- Custom AI agents built to fit your team's specific workflows and toolchain
- Integration with GitHub, Slack, Jira, and your existing observability stack
My experience
Workflow mapping
I identify which parts of your DevOps process have the highest automation potential before building anything.
Agents that integrate
Everything connects to your existing tools. No new platforms your team has to learn and maintain.
Measurable impact
We track time saved and errors caught so you can see the return on the engagement clearly.
Team handover
Your team learns how to maintain and extend the agents after the engagement is complete.
Curious what your team could stop doing manually if the right AI agent handled it?
IDP Strategy
I help engineering organisations build internal developer platforms that give developers self-service access to infrastructure, standardised deployment paths, and fewer blockers — without expanding the platform team.
70%
fewer repetitive tasks
90%
requests self-service
Minutes
not hours to deploy
Zero
config drift
What I do
- IDP strategy and roadmap — what to build, in what order, and why
- Backstage setup and customisation as the developer portal layer
- Self-service templates for services, environments, and infrastructure provisioning
- GitOps workflows that make deployments consistent and auditable by default
- RBAC and governance embedded into the platform so compliance is not a separate gate
- Paved paths for onboarding new services without reinventing the process each time
My experience
Strategy before tooling
I start with your team's bottlenecks, not with a pre-selected stack. The tools follow the strategy.
Incremental delivery
You see working platform capabilities early, not after months of build-up with nothing to show.
Developer-led design
The platform is shaped by what developers actually need, validated through early feedback loops.
Sustainable ownership
Your platform team can maintain and evolve it independently — I build for handover from day one.
Want to stop being the bottleneck for your own developers?
- DevOps consulting
- Agentic DevOps
- IDP strategy
DevOps Consulting
30–60%
lower cloud costs
99.9%+
system uptime
90%
faster setup
5×
faster deployments
What I do
- Cloud architecture design and review on AWS, Azure, and GCP
- CI/CD pipeline design and optimisation with GitHub Actions and similar tools
- Kubernetes cluster setup, tuning, and resource efficiency improvements
- Infrastructure as code with Terraform — modular, reusable, auditable
- Cloud cost analysis and rightsizing to reduce wasteful spend
- Observability setup so your team can actually see what is happening in production
My experience
Discovery first
I start by understanding your current setup, costs, and pain points before recommending anything.
Practical output
You get working infrastructure and documentation, not just a slide deck with recommendations.
Knowledge transfer
Your team understands what was built and why, so they can own it after the engagement ends.
Clear communication
No jargon overload. I explain trade-offs in plain language so you can make informed decisions.
Ready to stop firefighting your infrastructure and start building with confidence?
Agentic DevOps
I help teams use AI agents to automate the repetitive, time-consuming parts of DevOps — code review, log analysis, incident troubleshooting, and knowledge lookup. Less manual work, faster delivery.
70%
PR review automated
60%
less debugging time
Instant
knowledge answers
Custom
AI agents built
What I do
- AI-powered PR review agents that check code quality, security, and standards automatically
- Log analysis agents that surface the root cause of incidents faster than manual triage
- Knowledge base agents that give developers instant answers from your internal documentation
- Custom AI agents built to fit your team’s specific workflows and toolchain
- Integration with GitHub, Slack, Jira, and your existing observability stack
My experience
Workflow mapping
I identify which parts of your DevOps process have the highest automation potential before building anything.
Agents that integrate
Everything connects to your existing tools. No new platforms your team has to learn and maintain.
Measurable impact
We track time saved and errors caught so you can see the return on the engagement clearly.
Team handover
Your team learns how to maintain and extend the agents after the engagement is complete.
Curious what your team could stop doing manually if the right AI agent handled it?
IDP Strategy
I help engineering organisations build internal developer platforms that give developers self-service access to infrastructure, standardised deployment paths, and fewer blockers — without expanding the platform team.
70%
fewer repetitive tasks
90%
requests self-service
Minutes
not hours to deploy
Zero
config drift
What I do
- IDP strategy and roadmap — what to build, in what order, and why
- Backstage setup and customisation as the developer portal layer
- Self-service templates for services, environments, and infrastructure provisioning
- GitOps workflows that make deployments consistent and auditable by default
- RBAC and governance embedded into the platform so compliance is not a separate gate
- Paved paths for onboarding new services without reinventing the process each time
My experience
Strategy before tooling
I start with your team’s bottlenecks, not with a pre-selected stack. The tools follow the strategy.
Incremental delivery
You see working platform capabilities early, not after months of build-up with nothing to show.
Developer-led design
The platform is shaped by what developers actually need, validated through early feedback loops.
Sustainable ownership
Your platform team can maintain and evolve it independently — I build for handover from day one.