Azure Cloud Developer

Overview

Azure Cloud Developer Contract 3 months +

Role type:
Contract

Location: UK, London, Remote

Preferred start date: ASAP

LIFE AS A SATALIAN

As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in 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 (who is also WPP’s Chief AI Officer), 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 true 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.

We are investing massively in developing next generation generative AI tools, including work streams 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.

We are seeking a highly skilled Azure Cloud Developer to create and maintain the cloud serverless infrastructure for our Typescript and Python-based web APIs. Our solutions will not be tied to a specific cloud platform, so the ideal candidate should have a strong understanding of cloud architecture with either Microsoft Azure and be willing to work across all clouds. You will be responsible for deploying commercial-grade APIs using Python Docker images, Typescript/Python serverless functions and various cloud resources such as Kubernetes, storage buckets, pipelines and state stores.

All infrastructure and deployment must be fully automated using Terraform.

You will be joining a product team in developing these zero to one innovations over a multi-year roadmap. You will be working with the latest technologies across our technology stack, including optimising AI workloads that scale to meet client needs.

It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI.

• Developing complex cloud-native serverless applications

• Writing and maintaining serverless functions in Typescript and Python

• Utilising Serverless technology including API management, Serverless functions, Event driven architectures, Serverless databases and document stores

• Implementing a range of integration patterns, from modern SaaS APIs using Graph
  
  QL to traditional FTP based integrations.

• Applying Dev Ops principles to empower teams to manage infrastructure directly using Git

• Utilising Terraform for provisioning and managing cloud resources.

• Leveraging Design Patterns and reference architectures to design scalable and efficient cloud infrastructure.

• Having a strong, test driven, quality first mindset to your work

• Communicate effectively with excellent written and verbal skills.

• Familiarity with Diagrams-as-Code for documenting infrastructure architecture.

• Designing solutions observing cross-cutting concerns such as observability and system security

• Taking ownership of deployments in a true devops model

Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

• Strong experience in creating and deploying cloud infrastructure using AWS, GCP or Azure.

• Understanding of Python and Docker for developing web APIs.

• Familiarity with serverless technologies covering serverless functions, queues, file storage, API management and key value stores.

• Experience with integration patterns and working with various APIs.

• Leveraging Databricks for scalable data processing and analytics, integrating Spark workloads with cloud-native infrastructure and CI/CD pipelines.

• Knowledge of Dev Ops principles…