AI DevOps Engineer - FinTech - £90,000-£120,000 + Bonus

Hunter Bond; Greater London; On-site; GBP 75,000 - 110,000; Full time

Job summary

Hunter Bond is seeking a DevOps Engineer in London with hands-on experience in Python, IaC, and deploying AI in production. The role emphasises end-to-end DevOps delivery and ongoing operations within a hybrid on-prem/cloud setting.

The position requires on-site presence four days per week and targets candidates with FinTech/Financial Services/startup backgrounds for broad, varied responsibilities.

Qualifications

• Strong object oriented Python programming experience (not just scripting).
• Infrastructure as Code (IaC) – Terraform / Ansible.
• Some knowledge of utilising AI within production environments.

Responsibilities

• End to end delivery and operations of DevOps environments.
• Moving towards greater adoption of AI within the business.
• Working on hybrid on-prem / Cloud architecture.

Skills

Python (OOP)

Terraform

Ansible

AI in production

Azure

AWS

Linux administration

Observability tools

Tools

Terraform

Ansible

Azure

AWS

OpenTelemetry

Job description

The role:

My client is looking to add a DevOps Engineer to their team with some experience of using AI in production environments.

This role requires attendance on site 4 days per week.

The ideal candidate will stem from a background covering FinTech / Financial Services / Startups.

The role is broad and varied covering a number of different DevOps elements:

• End to end delivery and operations of DevOps environments
• Moving towards greater adoption of AI within the business
• Working on hybrid on-prem / Cloud architecture

Essential skills:

• Strong object orientated Python programming experience (not just scripting)
• Infrastructure as Code (IaC) – Terraform / Ansible
• Some knowledge of utilising AI within production environments

Desirable skills (some of these in addition to the essential skills would be useful):

• Experience building / deploying AI agents
• Strong knowledge across Azure / AWS
• Understanding of AI native services – Azure AI Foundry / Amazon Bedrock
• Cloud automation experience – AgentOps / DataOps frameworks (LangGraph / Dagster)
• Predictive operations tools – Prophet / Dynatrace
• AI tool integration – embedding LLM API’s / agents into pipelines
• Integrating DevOps infrastructure with MCP’s
• Infrastructure testing frameworks – Terratest / Terraform Test / Molecule / Junit / PyTest
• Advanced Linux / Windows administration
• Observability – OpenTelemetry / Prometheus / ELK / Tempo / Jaegar
• Chaos Engineering and testing – Gremlin / LitmusChaos