Cloud Architect

at  Satalia

Role type: Perm or Contract (Outside IR35)
Location: Remote from UK, Greece or Lithuania
Preferred start date: ASAP

MINIMUM SKILLS

• Having an excellent understanding of Typescript and/or Python, currently our core cloud languages
• Experience writing enterprise quality solutions, with extensive experience and familiarity with how enterprise software solutions fit into a wider technical landscape
• Having a solid understanding of traditional Design Patterns and the ability to adapt these to the AI world
• Having in-depth knowledge of at least one cloud platform (e.g. GCP, AWS, Azure), including an understanding of appropriate technologies for a given use case.
• Being a strong proponent for rigorous quality processes, automated testing and IaC principles
• Having excellent written, spoken and diagrammatic communication skills, with the ability to convey technical and abstract principles to technical and non-technical audiences
• Industry experience with an Infrastructure-as-Code platform (e.g. Cloudformation, Terraform)
• Experience of creating robust CI/CD pipelines that fully automate testing and release processes
• A strong understanding of both serverless development and containerisation approaches to deploying software to the cloud

NICE TO HAVE QUALIFICATIONS / SKILLS

• A strong understanding of event driven architectures
• Terraform experience
• Good working knowledge of Azure
• Experience with or knowledge of data engineering platforms and principles
• Experience with or knowledge of data science platforms and technologies
• Working knowledge of Rust
  As an equal opportunity employer we welcome applications that reflect the diversity of our wider community. Please let us know at any time if you require reasonable adjustments to your interview process and feel free to let us know the pronouns you use

THE ROLE

We are investing massively in developing next generation generative AI tools, including workstreams covering text, image, video, audio, and research. We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners.

ROLE DESCRIPTION

You will be responsible for creating enterprise quality AI, ML and Data Science based solutions. You will be involved in technology selection, API design, and establishing core patterns within our products and client projects. You will consider the functional and non-functional requirements to inform these decisions and lead our development team in implementing them. You will work with our world class Data Science and Data Engineering teams to provide robust, high quality, performant cloud based solutions for our customers.
This is not a role for someone who doesn’t love development. Our technical architects are expected to prove solutions and contribute to the development team, as well as reviewing code and driving improvement to our development practice and processes. At the same time, you need to be a great communicator: the role includes direct interaction with our clients and business stakeholders, which are a mixture of technical and non-technical audiences.
The world of AI is evolving at a staggering pace, and we keep our knowledge fresh by continually looking for fresh technologies and sharing what we’ve learned. As an architect you would be expected to exemplify this both by bringing new ideas to our projects, but also listening to and assessing ideas from the team.

YOUR RESPONSIBILITIES

• Writing enterprise quality solutions, with extensive experience and familiarity with how enterprise software solutions fit into a wider technical landscape
• Creating cloud IaC deployment code
• Creating serverless solutions to execute data science and ML models
• Leading a team comprised of Data Science, Data Engineering, Cloud Engineering and QA
• Understanding and relating customer/business needs to the technical solutions we create
• Liaising with the customer, product owners and business analysts to ensure that the work we are doing is correct and architecturally sound
• Making technology and approach choices to meet NFRs whilst delivering good value for money