DevOps Engineer - AI - FinTech - £100,000-£120,000 + Bonus

Hunter Bond; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Hunter Bond is seeking a DevOps Engineer with hands-on experience in Python, IaC, and deploying AI in production. The role requires on-site presence four days a week and involves managing hybrid on-prem and cloud environments.

The ideal candidate will come from FinTech/FinServ or startup backgrounds, delivering end-to-end DevOps operations and enabling AI adoption across the business. You will work on a broad set of DevOps elements, including infrastructure as code, observability, and

Qualifications

• Proficient Python development with solid object-oriented skills, not just scripting.
• Hands-on IaC experience using Terraform and Ansible.
• Knowledge of deploying AI within production environments.

Responsibilities

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

Skills

Python

IaC

Terraform

Ansible

AI in prod

Azure

AWS

OpenTelemetry

Prometheus

ELK

Linux

Windows

Dagster

LangGraph

Terratest

Molecule

JUnit

PyTest

Jaeger

Tools

Terraform Test

Molecule

JUnit

PyTest

Dagster

LangGraph

Terratest

OpenTelemetry

Prometheus

Jaeger

ELK

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