Senior AI Platform Engineer — APIs, DevOps & Cloud

Impellam

Greater London

On-site

GBP 90,000 - 120,000

Full time

38 hours ago

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Job summary

Guidant Global is seeking a Senior Software Engineer / Senior DevOps Engineer to design, build, and operate AI-enabled software and platform solutions in a London area context. You will develop API-driven services and integrations and help modernize architectures for cloud-native delivery.

You will own production systems, apply TypeScript and Python, and leverage Kubernetes tooling and Terraform for IaC. The role emphasizes ownership, reliability, and collaboration with AI specialists and

Qualifications

Strong experience as a Senior Software Engineer, Senior DevOps Engineer, or similar hands-on role.
Excellent software engineering fundamentals, including system design, code quality, testing, and maintainability.
Solid experience building API-first or service-based systems.
Proficiency in TypeScript and Python.
Experience deploying and operating production systems using containerisation and automation tooling.
Comfort working across development, deployment, and operational concerns.
Confidence taking ownership of technical work and systems in live environments.

Responsibilities

Design, build, and operate AI-enabled software and platform solutions.
Develop and maintain API-driven services and integrations that allow systems to work effectively with AI capabilities.
Contribute to the evolution of existing applications towards modern, service-based and cloud-native architectures.
Implement and operate integration mechanisms between software systems and AI platforms, including emerging patterns where appropriate.
Apply AI tools to support engineering productivity, while retaining full accountability for quality, safety, and correctness.
Review, validate, and guide AI-generated code or output to ensure it meets engineering and operational standards.
Build, deploy, and operate services using TypeScript and Python, supported by modern DevOps practices.
Package and operate workloads using Kubernetes tooling (e.g. Helm) and infrastructure-as-code (e.g. Terraform).
Work closely with engineers, platform teams, and AI specialists to deliver integrated solutions.