AI Platform Engineer

Wave Group; Greater London; Hybrid; GBP 100,000 - 115,000; Full time

Benefits offered by this job

Equity compensation

Hybrid work

Job summary

Wave Group in London is hiring an AI Platform Engineer to design the foundations for a scalable, secure platform powering real-time payment intelligence. You will shape platform and infrastructure culture for a fast-moving engineering team building with top financial institutions.

The role emphasizes reliability, observability, security-by-default and rapid, safe deployment. Expect ownership of IaC, incident response and ML-powered observability to enable growth.

Qualifications

• 3–4 years in platform/DevOps/SRE at an early-stage startup with ownership
• Strong Terraform/IaC experience on real production infrastructure
• Deep cloud infrastructure experience (GCP a strong plus)
• Proven observability track record for distributed systems
• Software engineering background in Python or Go
• Incident response experience and runbooks/processes
• Security foundations—least-privilege access and secure-by-default infra
• CI/CD pipelines with velocity and rollback safety
• Hands-on exposure to agentic AI frameworks (LangChain / LangGraph) within last year
• Fintech or regulated-industry experience
• Observability/reliability for non-deterministic or ML-powered systems
• Experience with ISO27001 / SOC 2 frameworks
• Experience with Temporal or similar workflow engines
• Track record of bootstrapping a platform/DevOps function from scratch

Responsibilities

• Owning the reliability and operability of production systems—monitoring, alerting, incident response and post-incident learning
• Maintaining and evolving the infrastructure-as-code estate to enable safe shipping
• Securing infrastructure defaults so the safe path is the default
• Designing observability across the stack—metrics, traces, logs, dashboards and alerts (including AI-agent behavior)
• Driving incident response maturity from detection to resolution and follow-up
• Building platform capabilities that unblock engineering teams—deployment pipelines, release tooling, developer experience
• Building guardrails and automation (AI-assisted triage/response) to move fast without breaking things
• Supporting evolution from stability to scalability as the company grows

Skills

Terraform/IaC

Cloud infrastructure (GCP)

Observability/Monitoring

Python

Go

Incident response

Security by default

CI/CD pipelines

LangChain/LangGraph

Fintech/regulatory experience

ISO27001/SOC 2

Temporal

Platform/DevOps ownership

Production reliability

Tools

GCP

Job description

Salary: up to £115k (+ very generous early-stage equity, up to ~£90k)

Location: Central London, EC1 (3 office day/week)

This London startup is building a new intelligence layer designed to bring more context and security to digital payments. Their technology analyses transactions in real time, gathering signals from multiple sources to determine whether a payment is legitimate or potentially fraudulent.

The platform combines distributed data systems, real-time investigations and AI-driven decisioning to help financial institutions detect scams while allowing legitimate payments to flow without unnecessary friction. Within 2 years of being founded, they're working with most Tier 1 banks and payment providers in the UK - and are about to launch in the US!

Hiring an AI Platform Engineer to help build the foundations that let a fast-moving engineering team ship safely to some of the country's largest financial institutions. Production is increasingly powered by non-deterministic AI agents, so this isn't a "keep the lights on" role - you'll be defining what good looks like for platform and infrastructure culture, not inheriting someone else's playbook.

Key responsibilities:

• Owning the reliability and operability of production systems - monitoring, alerting, incident response and post-incident learning
• Maintaining and evolving the infrastructure-as-code estate, making it easy to ship safely and hard to ship dangerously
• Securing infrastructure defaults so the easy path is the safe path
• Designing observability across the stack - metrics, traces, logs, dashboards and alerts - including for AI agent behaviour, where "correct" isn't always the same twice
• Driving incident response maturity from detection through resolution to follow-up
• Building platform capabilities that unblock engineering teams - deployment pipelines, release tooling, developer experience
• Building the guardrails and automation (including AI-assisted triage and response) that let the wider team move fast without breaking things
• Supporting the platform's evolution from stability through to scalability as the company grows

Must have requirements:

• At least 3-4 years in platform/DevOps/SRE, ideally with genuine ownership at an early-stage startup - comfortable with ambiguity
• Strong Terraform/IaC experience on real production infrastructure
• Deep cloud infrastructure experience (GCP a strong plus)
• Proven observability track record - monitoring, alerting and dashboards for distributed systems
• Software Engineering background / proficiency in Python or Go at a decent level
• Incident response experience - on-call, running incidents, and building the processes that make both better
• Security foundations - least-privilege access, secrets management, secure-by-default infrastructure
• CI/CD experience - deployment pipelines teams trust, with a focus on deploy velocity and rollback safety
• Genuine hands-on exposure to agentic AI frameworks (LangChain, LangGraph or similar) within the last ~12 months - not just conceptual awareness
• Fintech or other regulated-industry experience
• Experience building observability/reliability for non-deterministic or ML-powered systems specifically
• Exposure to compliance frameworks (ISO 27001, SOC 2)
• Experience with workflow orchestration engines (Temporal or similar)
• A track record of bootstrapping a platform/DevOps function from scratch