Cloud Architect
Role type: Contract 6 months +
Location: London/Remote
Cloud Architect required to join our Engineering team here at Satalia
As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP company is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight-knit team of high performing colleagues.
Led by our founder and WPP Chief AI Officer Daniel Hulme, Satalia’s ambition is to become a decentralised organisation of the future. Today, this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer truly flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated.
The role:
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.
Creating enterprise-quality solutions, with extensive experience and familiarity with how enterprise software solutions fit into a wider technical landscape
Creating serverless solutions to execute data science and ML models
Creating cloud IaC deployment code
Guiding a team of Optimisers, Data Scientists, Data Engineers, Cloud Engineers and QA Engineers.
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
Having an excellent understanding of Java, Typescript and/or Python, currently our core cloud languages
Industry experience with an Infrastructure-as-Code platform (e.g. Cloudformation, Terraform)
A strong understanding of both serverless development and containerisation approaches to deploying software to the cloud
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.
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
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
Experience of creating robust CI/CD pipelines that fully automate testing and release processes
A strong understanding of event-driven architectures
Working knowledge of Rust
Experience with or knowledge of data engineering platforms and principles
Experience with or knowledge of data science platforms and technologies
Satalia is home to some of the brightest minds in AI and if you’re looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we’d love to hear from you.
We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful.
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Good luck!
