Technical Solutions Architect

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

📋 Description

• Develop high-quality AI, ML, and Data Science solutions for enterprises.

• Choose appropriate technologies and design APIs.

• Establish foundational patterns within products and client projects.

• Take into account both functional and non-functional requirements when making technical choices.

• Lead the development team in executing solutions.

• Collaborate with Data Science and Data Engineering teams to deliver robust, high-performing cloud solutions.

• Validate solutions and actively contribute to the development team.

• Conduct code reviews and promote enhancements to development practices and processes.

• Engage directly with clients and business stakeholders, catering to both technical and non-technical audiences.

• Introduce innovative technologies and concepts to projects.

• Listen to and evaluate ideas from the team.

• Develop serverless solutions for executing data science and ML models.

• Create Infrastructure-as-Code deployment scripts for cloud environments.

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

• Align customer and business needs with technical solutions.

• Coordinate with customers, product owners, and business analysts.

• Make informed technology and methodology choices that satisfy non-functional requirements while providing value for money.

⛳️ Requirements

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

• Industry experience with an Infrastructure-as-Code platform like CloudFormation or Terraform.

• In-depth understanding of serverless development and containerization techniques for cloud software deployment.

• Comprehensive knowledge of at least one cloud platform, such as GCP, AWS, or Azure.

• Experience in crafting enterprise-quality 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 for AI applications.

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

• Exceptional written, verbal, and diagrammatic communication skills.

• Capability to convey technical and abstract concepts to both technical and non-technical audiences.

• Experience in creating robust CI/CD pipelines that automate testing and release processes.

• Strong understanding of event-driven architectures.

• Familiarity with Rust.

• Experience with or knowledge of data engineering platforms and principles.

• Experience with or knowledge of data science platforms and technologies.

🏝️ Benefits

• Enhanced pension plan.

• Life assurance coverage.

• Income protection.

• Private healthcare options.

• Remote work flexibility.

• Truly flexible working hours.

• 27 days of holiday plus bank holidays.

• Enhanced family leave policies.

• Annual performance bonus.

• Engaging projects aimed at meaningful social and environmental impact.

• People-centric culture prioritizing wellbeing.

• Open and transparent organizational culture.

• Opportunities for personal and professional development.

• Autonomy and freedom in work.

• Inclusive and warm company culture.