Description

• Python 3
• CI/CD
• Docker
• TailwindCSS
• Jinja2
• HTMX / HTML
• Github

What you’ll do

• Interact with Project Managers and Data Engineers to reach the best possible technical design
• Develop and implement technical workflow solutions including integrations between systems, AI-embedded workflows, and custom interface builds
• Build the middleware and API connections required to ensure various SaaS systems and internal data sources communicate and integrate seamlessly
• Produce clear technical documentation and playbooks to transition successful pilots into stable, Business-as-Usual (BAU) operations
• Prototype and build lightweight frontends using TailwindCSS, Jinja2, and HTMX to turn high-level operational blueprints into functional digital tools.
• Collaborate closely with internal teams to shadow manual processes, diagnose operational bottlenecks, and translate non-technical feedback into concrete automation requirements.
• Maintain and optimize deployment pipelines using Docker and CI/CD tools to ensure rapid, reliable, and secure software delivery.
• Monitor, iterate, and troubleshoot newly launched pilot tools, utilizing user feedback and performance data to make swift engineering adjustments.
• Participate in code reviews and security checks, ensuring that any tool built adheres to essential data protection and identity access controls.

• Involvement in and contribution towards pilot launches of 3–5 high-impact, AI-augmented workflows.
• Clear documentation of design choices, implementations and user-guides for any released tooling / libraries

Who you are

• Technical builder with a foundation in Python development for backends and command line tools
• Experience in designing internal APIs and consuming APIs from 3rd party platforms
• Understand databases and ORMs to be able to create clean schemas, and query data
• Familiarity with Git for source control, within a collaborative environment
• Requirement gathering from non-technical stakeholders and translating into technical requirements

• Possess a practical understanding of automation and Large Language Models (LLMs) and has experience in prompt engineering and agent-based architectures, but may also be skeptical and guarded with respect to AI and how it should be applied.
• Hands-on, execution-oriented engineer who can adapt quickly based on pilot performance data and user feedback.
• Understands the importance of technical security controls, such as IAM and encryption, especially when handling sensitive data or PII

Benefits

• 27 days annual leave provision, with the option to buy/sell additional days
• Hybrid working arrangements; 60% in office / 40% at home
• Supportive environment for learning and development opportunities
• Enhanced family leave arrangements
• A free and confidential 24/7 employee assistance programme
• Life Assurance
• 2 days of paid volunteer days
• 5% defined contribution pension scheme with Smart Pension
• Cycle to Work scheme
• An excellent office location in Kings X, London

About ARIA