Production
A recurring failure has no clear owner
The symptom is visible, but the cause crosses application code, services, data, infrastructure, or a third-party system.
Senior hands-on engineering / defined systems problems
Technical systems work for problems that need to be owned
Diagnose and improve production systems across backend services, APIs, data, cloud infrastructure, integrations, and internal tooling. Start with the real runtime path, then deliver the smallest change that resolves the problem properly.
When to bring me in
The problem is specific. The owning system is not.
Delivery
A contained change keeps expanding
The team needs an experienced engineer to identify the real boundary, make the change, and carry it through verification.
Integration
Important systems disagree or drift
APIs, scheduled jobs, webhooks, and manual reconciliation have become an unreliable operational dependency.
Visibility
The system works until someone needs evidence
Status, failures, ownership, and operational decisions are scattered across logs, dashboards, tickets, and team knowledge.
Engagement formats
Match the commitment to what is actually known.
Fixed scope is used where the boundary is real. Investigation is kept separate where the cause or implementation path is still uncertain.
3-5 working days
01Technical Diagnostic
Trace one defined production or operational problem through the real system before committing to a larger implementation.
Output
Evidence map, owning cause, options, risks, and an implementation recommendation.
1-4 weeks
02Focused Implementation
Deliver one bounded backend, data, integration, cloud, or internal-tooling outcome through code, rollout, and acceptance.
Output
Working release, tests, deployment evidence, documentation, and handover.
Limited capacity
03Embedded Technical Support
Add senior hands-on engineering capacity where a team has a defined delivery lane but needs stronger diagnosis or ownership.
Output
Agreed delivery outcomes, visible progress, and work that remains owned by the client team.
Technical coverage
Broad enough to trace the system. Narrow enough to own the job.
Backend and APIs
- Service and API design or repair
- Authentication, access, and integration boundaries
- Production debugging and failure-path tracing
- Safe changes in existing codebases
Data and integrations
- Data pipelines and scheduled workflows
- System synchronisation and reconciliation
- External APIs, webhooks, and event-driven handoffs
- Operational evidence and exception visibility
Cloud and delivery
- AWS-hosted application and service work
- Deployment-path and runtime diagnosis
- Observability, alarms, and operational controls
- Release verification and rollback-aware delivery
Internal systems
- Focused operational tools and dashboards
- Workflow automation around existing systems
- Evidence-backed knowledge retrieval
- AI-assisted workflows with reviewable outputs
Good working conditions
- One technical problem or delivery lane has a named owner
- Access to the relevant code, runtime evidence, and operators is available
- Success can be expressed as observable system behaviour
- The first engagement has an explicit boundary and stopping point
- Production changes include verification and a maintainable handover
Not the right fit
- Unbounded staff augmentation without an owned delivery outcome
- A transformation programme before the underlying problem is understood
- A speculative product build without validated users or ownership
- A request to replace a functioning platform without evidence
- A build where operational access or acceptance cannot be agreed
Start with one technical problem
Send the symptom, the systems involved, and what should happen instead.
I will tell you whether it looks suitable for a diagnostic, focused implementation, or a different route. No broad transformation pitch is required.