Lead GCP & AI Engineer
Addition · San Francisco · posted 2 days ago
Occupation
2134Programmers and software development professionals
Going rate for this occupation: £54,700 · UK median pay £56,914
Home Office going rates from
Sponsorship
Sponsorship chance
Very low
- Not matched to a licence on the register
- Occupation is eligible for Skilled Worker
- Estimated salary is below the going rate
On the public records we hold, sponsorship for this role looks unlikely: not matched to a licence on the register, and occupation is eligible for Skilled Worker.
- The salary is an estimate from national earnings data, not the employer's figure.
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Lead Cloud Engineer
Contract | £800 per Day
Google Cloud | Platform Engineering | AI/Agentic Infrastructure | iGaming
We’re partnering with a leading technology consultancy to appoint an experienced Lead Cloud Engineer for a high-profile engagement within the iGaming sector.
This is a senior, hands-on technical leadership role combining cloud platform engineering, Site Reliability Engineering, software engineering and AI infrastructure. You’ll own the technical direction of the engagement, lead the engineers delivering it and help build secure, scalable and production-ready platforms within a highly regulated environment.
The Opportunity
As Lead Cloud Engineer, you’ll take ownership of the technical direction of a complex client engagement, working closely with senior engineering stakeholders to define standards, challenge existing approaches and ensure successful delivery.
You’ll design and build modern Google Cloud platform foundations while also developing the infrastructure required to deploy and operate AI models and agents securely at scale.
Key Responsibilities
You’ll play a key role in shaping and delivering cloud and AI platform capability by:
Building the underlying AI agent platform layer, including per-agent identity, centralised logging, guardrails, budget controls, governed model access and tool/MCP registries. Implementing responsible production AI practices including evaluation frameworks, prompt and model versioning, human-in-the-loop controls, lineage and explainability. Leading migrations of latency-sensitive and stateful workloads from legacy or on-premises environments into Google Cloud. Owning platform reliability through SLOs, error budgets, multi-region architecture, disaster recovery, load testing, chaos testing and incident response. Designing cost-efficient cloud architectures through right-sizing, committed-use discounts, Spot capacity, GPU scheduling and detailed run-cost forecasting. Ensuring infrastructure, configuration and platform changes are managed as code. Contributing to technical proposals, pre-sales scoping and architecture reviews with clients.
About You
You’ll be a senior Cloud or Platform Engineer with a strong combination of Google Cloud, Kubernetes, software engineering, SRE, data engineering and production AI experience.
The ideal profile will demonstrate a hybrid skill set across approximately 40% Cloud/Platform/SRE, 30% Software Engineering & AI and 30% Data Engineering, with security, governance, observability and cost management embedded throughout.
Information from public records, not immigration advice.