Technical Solutions Architect – Contract

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Develop enterprise-level AI, ML, and Data Science solutions

• Engage in technology selection, API design, and establish core patterns within products and client projects

• Evaluate both functional and non-functional requirements when making architectural decisions

• Lead development teams to implement solutions effectively

• Collaborate with Data Science and Data Engineering teams to deliver robust, high-quality, and high-performance cloud-based customer solutions

• Validate solutions and contribute actively to the development team

• Review code to enhance development practices and processes

• Communicate directly with clients and business stakeholders, addressing both technical and non-technical audiences

• Introduce new technology concepts to projects and evaluate ideas from team members

• Develop serverless solutions for executing data science and ML models

• Create cloud Infrastructure-as-Code deployment scripts

• Mentor Optimisers, Data Scientists, Data Engineers, Cloud Engineers, and QA Engineers

• Connect customer and business needs to technical solutions

• Coordinate with customers, product owners, and business analysts to ensure the accuracy and architectural integrity of the work

• Make technological and methodological decisions that meet non-functional requirements while providing good value for investment

⛳️ Requirements

• Contract position within IR35 regulations

• Strong proficiency in Java, Typescript, and/or Python

• Practical experience with Infrastructure-as-Code platforms like CloudFormation or Terraform

• Comprehensive understanding of serverless development and containerization strategies for cloud software deployment

• Extensive knowledge of at least one cloud platform, such as GCP, AWS, or Azure, including the ability to select suitable technologies for various use cases

• Experience in crafting enterprise-level solutions with an understanding of how enterprise software integrates into a broader technical ecosystem

• Solid grasp of traditional Design Patterns and the ability to adapt them to the AI domain

• Strong commitment to rigorous quality processes, automated testing, and Infrastructure-as-Code principles

• Excellent written, verbal, and diagrammatic communication skills, capable of conveying technical and abstract concepts to both technical and non-technical audiences

• Experience in building robust CI/CD pipelines that automate testing and release workflows

• Preferred: Strong understanding of event-driven architectures

• Preferred: Working knowledge of Rust

• Preferred: Experience with or knowledge of data engineering platforms and principles

• Preferred: Experience with or knowledge of data science platforms and technologies

🏝️ Benefits

• Truly flexible working arrangements

• Work environment focused on wellbeing and inclusivity

• Autonomy and freedom in your role

• Culture that promotes inclusion and warmth

• Opportunities to engage in diverse and challenging projects

• Chance to collaborate with high-performing colleagues

• Opportunities to learn and share knowledge about emerging technologies