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Senior Automation Engineer – London, London
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Client:
Oxford Knight
Location:
London, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
530d51ca42a8
Job Views:
2
Posted:
29.06.2025
Expiry Date:
13.08.2025
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Job Description:
Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class software engineers to help build on their success.
Responsibilities
* Design agentic automation framework in Python on AWS Bedrock
* Decompose Jira workflows into microservices and LLM agents
* Own end-to-end delivery of automation solutions across the business, e.g. Operations, Compliance, Risk
* Build secure, high-performance integrations with core internal systems
* Develop prompt strategies, retrieval augmentation, and guard-rail policies for Bedrock models
* Measure and tune agent output quality, latency, and cost
* Mentor junior engineers; drive coding standards, code reviews, CI/CD hygiene
Skills & Experience Required
* 8+ years’ experience of professional software engineering (Python preferred) with at least 3 years’ designing distributed, event-driven systems in AWS
* Proven production 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 security for SaaS integrations: OAuth, secret rotation, data-in-transit/at-rest encryption
* Familiarity with financial or regulated environments and related control frameworks, e.g. SOC 2, model governance
* Hands-on with observability stacks (Grafana, Datadog) and CI/CD pipelines
* Prior work on KYC / AML automation, sanctions screening, or client onboarding flows
* Experience with event sourcing, domain-driven design, or service-based architecture
* Familiarity with LangChain, Haystack, or other agent frameworks; Infrastructure-as-Code (CDK / Terraform) and/or container orchestration with Kubernetes
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
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