Process Automation Engineer

JR United Kingdom; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading Fin Tech unicorn is seeking a Process Automation Engineer for its London office. This role offers the chance to design and implement automation frameworks in Python on AWS, driving automation across critical brokerage functions. Ideal candidates will have extensive experience in software engineering, particularly within AWS and Python, and will contribute to observability and risk assessments.

Qualifications

• 8+ years experience in Software Engineering using Python.
• 3+ years designing distributed, event-driven systems in AWS.
• Experience with LLM/GenAI solutions (OpenAI, Bedrock).

Responsibilities

• Design and implement Python-based automation frameworks on AWS Bedrock.
• Automate workflows across Operations, Compliance, and Risk.
• Define SLIs/SLOs and build monitoring dashboards.

Skills

Automation

Python

AWS

CI/CD

Observability

Job description

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Our client, a hyper-growth unicorn in the FinTech space, is looking for a Process Automation Engineer to join their London office. This is a standout opportunity to design and implement an autonomous automation framework in Python, leveraging AWS to drive end-to-end automation across critical brokerage functions.

The ideal candidate will be a seasoned automation expert with 8+ years of experience working within AWS environments and strong Python development skills. Hands-on experience with observability stacks and CI/CD pipelines is essential. This role involves defining SLIs/SLOs, building monitoring dashboards, supporting CI/CD and observability initiatives, and contributing to model and vendor risk assessments.

Key Responsibilities:

• Design and implement Python-based automation frameworks on AWS Bedrock, integrating securely with internal systems.
• Automate and optimize workflows across Operations, Compliance, and Risk using microservices and LLM agents.
• Develop and refine Bedrock model strategies; monitor and improve agent performance, latency, and cost.
• Define SLIs/SLOs, build dashboards, support CI/CD and observability, and contribute to model/vendor risk assessments.

Qualifications:

• 8+ years experience in Software Engineering using Python
• 3+ years designing distributed, event-driven systems in AWS
• Proven experience integrating or fine-tuning LLM/GenAI solutions (OpenAI, Bedrock, or similar)
• Deep knowledge of Jira data model, webhooks, and REST/GraphQL APIs
• Strong grasp of SaaS integrations: OAuth, secret rotation, data-in-transit/at-rest encryption
• Familiarity with financial or regulated environments and related control frameworks
• Hands-on experience with observability stacks (Grafana, Datadog) and CI/CD