Cloud Platform Engineer Role type: Permanent Location: London/remote Preferred start date: ASAP THE ROLE The Cloud Platform Engineers deliver infrastructure solutions as part of an experienced cross disciplinary team. We have a developer mindset and deliver our infrastructure through code, holding ourselves to the same quality and code standards as the rest of the team. We need you to use your hands on experience to drive the design, development and deployment of Satalia's Logistics and Delivery products. YOUR RESPONSIBILITIES: Work with our solution architects to identify the best technologies and process for our clients Act as a technical authority to engage and steer discussions on best practice and risk mitigation Ensure security considerations are implemented, tested and maintained Build in Observability MINIMUM QUALIFICATIONS / SKILLS Building infrastructure and deploying code in one of the main Clouds (preferably GCP, Bitbucket Pipelines, Terraform, Kubernetes, ArgoCD, K6) Implementing and maintaining monitoring, logging and tracing tools (Grafana or similar) Communicating and explaining technical concepts at appropriate levels for your team and to clients Understanding of the strengths and weaknesses of infrastructure and configuration as code Safe Deployment strategies and CI/CD Cloud based and cloud native system design Observability Developer Experience DevOps and SRE InfoSec and SIEM If you know this, even better: We're interested in talking to people who have worked with different technologies. We're looking for candidates who can demonstrate skills from this list, and who have curiosity and want to learn more: Experience in the Logistics industry Practical experience with BitBucket Pipelines, GitHub Actions Workflows or Azure DevOps Pipelines, Repos and Artifacts Experience with Kubernetes, and familiarity with differing Cloud implementations Experience deploying and operating observability stacks in production environments, including integration with Kubernetes workloads and cloud native services Hands on with Terraform - familiarity with Terragrunt, Terratest Experience with Chef, Puppet, Salt, or Ansible in production environments Management of Automation Tooling - Jenkins, CircleCI, GitLab CI Experience with automated testing tools - Selenium, JMeter, Lighthouse Strong scripting skills - Powershell, Python, Bash, Ruby, Perl WE OFFER Generous Leave - 27 days holiday plus bank holidays and enhanced family leave Benefits - enhanced pension, life assurance, income protection, private healthcare Remote working - café, bedroom, beach - wherever works Truly flexible working hours - school pick up, volunteering, gym Annual bonus - when Satalia does well, we all do well Impactful projects - focus on bringing meaningful social and environmental change People oriented culture - wellbeing is a priority, as is being a nice person Transparent and open culture - you will be heard Development - focus on bringing the best out of each other
04/05/2026
Full time
Cloud Platform Engineer Role type: Permanent Location: London/remote Preferred start date: ASAP THE ROLE The Cloud Platform Engineers deliver infrastructure solutions as part of an experienced cross disciplinary team. We have a developer mindset and deliver our infrastructure through code, holding ourselves to the same quality and code standards as the rest of the team. We need you to use your hands on experience to drive the design, development and deployment of Satalia's Logistics and Delivery products. YOUR RESPONSIBILITIES: Work with our solution architects to identify the best technologies and process for our clients Act as a technical authority to engage and steer discussions on best practice and risk mitigation Ensure security considerations are implemented, tested and maintained Build in Observability MINIMUM QUALIFICATIONS / SKILLS Building infrastructure and deploying code in one of the main Clouds (preferably GCP, Bitbucket Pipelines, Terraform, Kubernetes, ArgoCD, K6) Implementing and maintaining monitoring, logging and tracing tools (Grafana or similar) Communicating and explaining technical concepts at appropriate levels for your team and to clients Understanding of the strengths and weaknesses of infrastructure and configuration as code Safe Deployment strategies and CI/CD Cloud based and cloud native system design Observability Developer Experience DevOps and SRE InfoSec and SIEM If you know this, even better: We're interested in talking to people who have worked with different technologies. We're looking for candidates who can demonstrate skills from this list, and who have curiosity and want to learn more: Experience in the Logistics industry Practical experience with BitBucket Pipelines, GitHub Actions Workflows or Azure DevOps Pipelines, Repos and Artifacts Experience with Kubernetes, and familiarity with differing Cloud implementations Experience deploying and operating observability stacks in production environments, including integration with Kubernetes workloads and cloud native services Hands on with Terraform - familiarity with Terragrunt, Terratest Experience with Chef, Puppet, Salt, or Ansible in production environments Management of Automation Tooling - Jenkins, CircleCI, GitLab CI Experience with automated testing tools - Selenium, JMeter, Lighthouse Strong scripting skills - Powershell, Python, Bash, Ruby, Perl WE OFFER Generous Leave - 27 days holiday plus bank holidays and enhanced family leave Benefits - enhanced pension, life assurance, income protection, private healthcare Remote working - café, bedroom, beach - wherever works Truly flexible working hours - school pick up, volunteering, gym Annual bonus - when Satalia does well, we all do well Impactful projects - focus on bringing meaningful social and environmental change People oriented culture - wellbeing is a priority, as is being a nice person Transparent and open culture - you will be heard Development - focus on bringing the best out of each other
Satalia (NPComplete) is looking for a Cloud Platform Engineer to deliver infrastructure solutions as part of a cross-disciplinary team. You will work with solution architects, ensure security practices are followed, and drive the design and deployment of Logistics and Delivery products. The role can be based in London with flexible remote working options. The company offers generous leave, benefits, and a focus on impactful projects that prioritize social and environmental change.
04/05/2026
Full time
Satalia (NPComplete) is looking for a Cloud Platform Engineer to deliver infrastructure solutions as part of a cross-disciplinary team. You will work with solution architects, ensure security practices are followed, and drive the design and deployment of Logistics and Delivery products. The role can be based in London with flexible remote working options. The company offers generous leave, benefits, and a focus on impactful projects that prioritize social and environmental change.
Cloud Developer Role type: Contract Location: UK 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. THE ROLE We are seeking a highly skilled Cloud Developer to create and maintain the cloud 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 Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure and be willing to work across all clouds. You will be responsible for deploying commercial grade APIs using Python Docker images, Typescript 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. What you'll be doing: 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 GraphQL to traditional FTP based integrations Applying DevOps 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 What we want from you: Strong experience in creating and deploying cloud infrastructure using Azure, AWS, GCP 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 Knowledge of DevOps principles and Git, preferably with experience in modern techniques such as Monorepos Proficiency in Infrastructure as Code languages such as Terraform and CloudFormation Understanding of design patterns for building scalable and efficient systems A quality driven, test first mindset Excellent written and verbal communication skills Familiarity with Diagrams-as-Code for documenting infrastructure architecture is a plus Understanding of modern authentication protocols such as OAuth2 and OIDC Consideration of cross cutting concerns like observability and security in infrastructure design Contributions to Open Source projects are a plus Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience) What we can offer you: Opportunity to work at the forefront of AI technology A chance to contribute to groundbreaking commerce AI solutions As an equal opportunity employer we welcome applications that reflect the diversity of our wider community. Please let us know if you require reasonable adjustments to your interview process and let us know the pronouns you use Satalia is home to some of the brightest minds in AI and if you're looking to join a company that values autonomy and freedom, embraces a culture of inclusion and warmth, we'd love to hear from you
04/05/2026
Full time
Cloud Developer Role type: Contract Location: UK 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. THE ROLE We are seeking a highly skilled Cloud Developer to create and maintain the cloud 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 Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure and be willing to work across all clouds. You will be responsible for deploying commercial grade APIs using Python Docker images, Typescript 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. What you'll be doing: 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 GraphQL to traditional FTP based integrations Applying DevOps 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 What we want from you: Strong experience in creating and deploying cloud infrastructure using Azure, AWS, GCP 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 Knowledge of DevOps principles and Git, preferably with experience in modern techniques such as Monorepos Proficiency in Infrastructure as Code languages such as Terraform and CloudFormation Understanding of design patterns for building scalable and efficient systems A quality driven, test first mindset Excellent written and verbal communication skills Familiarity with Diagrams-as-Code for documenting infrastructure architecture is a plus Understanding of modern authentication protocols such as OAuth2 and OIDC Consideration of cross cutting concerns like observability and security in infrastructure design Contributions to Open Source projects are a plus Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience) What we can offer you: Opportunity to work at the forefront of AI technology A chance to contribute to groundbreaking commerce AI solutions As an equal opportunity employer we welcome applications that reflect the diversity of our wider community. Please let us know if you require reasonable adjustments to your interview process and let us know the pronouns you use Satalia is home to some of the brightest minds in AI and if you're looking to join a company that values autonomy and freedom, embraces a culture of inclusion and warmth, we'd love to hear from you
Satalia (NPComplete) is seeking a highly skilled Cloud Developer to create and maintain cloud infrastructure for Typescript and Python-based web APIs. The candidate should have a strong understanding of cloud architecture using AWS, GCP, or Azure, and be capable of deploying commercial-grade APIs with a focus on automation using Terraform. Responsibilities include developing serverless applications, utilizing DevOps practices, and ensuring high-quality, scalable cloud infrastructure. A Bachelor's degree in a relevant field is required.
04/05/2026
Full time
Satalia (NPComplete) is seeking a highly skilled Cloud Developer to create and maintain cloud infrastructure for Typescript and Python-based web APIs. The candidate should have a strong understanding of cloud architecture using AWS, GCP, or Azure, and be capable of deploying commercial-grade APIs with a focus on automation using Terraform. Responsibilities include developing serverless applications, utilizing DevOps practices, and ensuring high-quality, scalable cloud infrastructure. A Bachelor's degree in a relevant field is required.
Data Scientist Mid Level Role type: Full time Location: Greece (fully remote) Preferred start date: ASAP About Satalia Satalia builds enterprise grade AI systems for WPP and its FTSE 100 client base. Led by WPP Chief AI Officer Daniel Hulme, we run as a high autonomy, decentralised organisation where engineers and scientists own their domains end to end. We are building AI systems that operate on terabyte scale multimodal datasets to power the next generation of marketing intelligence. The Role Agentic pipelines - multi step LLM systems with tool use, planning, and self evaluation that automate complex marketing workflows end to end. Domain adapted foundation models - fine tuning open weight LLMs (LoRA, RLHF, distillation) on proprietary WPP data for tasks like audience segmentation, creative scoring, and brand safety classification. Retrieval augmented generation - production RAG systems over large proprietary corpora (embedding models, vector indices, re ranking) that serve real time answers to client queries. Classical ML at scale - gradient boosted models, causal inference pipelines, and recommendation engines that run alongside LLM components in hybrid architectures. You will work as part of an experienced team contributing directly to one or more of these workstreams. You'll have real ownership of your work - building models, running experiments, and shipping code to production - with guidance from senior scientists who will help you grow technically. What You'll Do Build and iterate on ML models - from data exploration and feature engineering through training, evaluation, and deployment. Implement and maintain components of production ML pipelines: data pre processing, model serving, monitoring, and retraining workflows. Contribute to LLM powered systems - building prompt chains, evaluation harnesses, RAG pipelines, or fine tuning workflows. Analyse large multimodal datasets (text, image, video, structured metadata) to extract features and insights that feed downstream models. Write clean, tested, production quality Python code - not just notebooks. Participate in code reviews, design discussions, and experiment retrospectives. What We're Looking For 2-4 years of experience building ML models, with at least some of that work deployed to production. Solid fundamentals in machine learning: understand bias variance trade offs, cross validation, regularisation, and can reason about why a model is underperforming. Working proficiency in Python and comfort with core ML libraries. Exposure to at least one of: NLP/LLMs, computer vision, recommender systems, or time series modelling. Strong experience with software engineering practices - Git, testing, CI/CD, code review. Curiosity about LLMs and modern AI tooling. Clear communication - you can explain your modelling choices and results to both technical and non technical colleagues. Nice to Have Experience with LLM fine tuning, prompt engineering, or RAG systems. Familiarity with cloud infrastructure (AWS/GCP), Docker, and orchestration tools. Background in marketing technology, ad tech, or audience modelling. A relevant MSc or PhD, or equivalent depth from self directed learning and project work. What we Offer Benefits healthcare; Remote working - café, bedroom, beach - wherever works; Truly flexible working hours - school pick up, volunteering, gym; Generous Leave - holidays in line with Greek Law, plus bank holidays and enhanced family leave; Impactful projects - focus on bringing meaningful social and environmental change; People oriented culture - wellbeing is a priority, as is being a nice person; Transparent and open culture - you will be heard; Development - focus on bringing the best out of each other;
04/05/2026
Full time
Data Scientist Mid Level Role type: Full time Location: Greece (fully remote) Preferred start date: ASAP About Satalia Satalia builds enterprise grade AI systems for WPP and its FTSE 100 client base. Led by WPP Chief AI Officer Daniel Hulme, we run as a high autonomy, decentralised organisation where engineers and scientists own their domains end to end. We are building AI systems that operate on terabyte scale multimodal datasets to power the next generation of marketing intelligence. The Role Agentic pipelines - multi step LLM systems with tool use, planning, and self evaluation that automate complex marketing workflows end to end. Domain adapted foundation models - fine tuning open weight LLMs (LoRA, RLHF, distillation) on proprietary WPP data for tasks like audience segmentation, creative scoring, and brand safety classification. Retrieval augmented generation - production RAG systems over large proprietary corpora (embedding models, vector indices, re ranking) that serve real time answers to client queries. Classical ML at scale - gradient boosted models, causal inference pipelines, and recommendation engines that run alongside LLM components in hybrid architectures. You will work as part of an experienced team contributing directly to one or more of these workstreams. You'll have real ownership of your work - building models, running experiments, and shipping code to production - with guidance from senior scientists who will help you grow technically. What You'll Do Build and iterate on ML models - from data exploration and feature engineering through training, evaluation, and deployment. Implement and maintain components of production ML pipelines: data pre processing, model serving, monitoring, and retraining workflows. Contribute to LLM powered systems - building prompt chains, evaluation harnesses, RAG pipelines, or fine tuning workflows. Analyse large multimodal datasets (text, image, video, structured metadata) to extract features and insights that feed downstream models. Write clean, tested, production quality Python code - not just notebooks. Participate in code reviews, design discussions, and experiment retrospectives. What We're Looking For 2-4 years of experience building ML models, with at least some of that work deployed to production. Solid fundamentals in machine learning: understand bias variance trade offs, cross validation, regularisation, and can reason about why a model is underperforming. Working proficiency in Python and comfort with core ML libraries. Exposure to at least one of: NLP/LLMs, computer vision, recommender systems, or time series modelling. Strong experience with software engineering practices - Git, testing, CI/CD, code review. Curiosity about LLMs and modern AI tooling. Clear communication - you can explain your modelling choices and results to both technical and non technical colleagues. Nice to Have Experience with LLM fine tuning, prompt engineering, or RAG systems. Familiarity with cloud infrastructure (AWS/GCP), Docker, and orchestration tools. Background in marketing technology, ad tech, or audience modelling. A relevant MSc or PhD, or equivalent depth from self directed learning and project work. What we Offer Benefits healthcare; Remote working - café, bedroom, beach - wherever works; Truly flexible working hours - school pick up, volunteering, gym; Generous Leave - holidays in line with Greek Law, plus bank holidays and enhanced family leave; Impactful projects - focus on bringing meaningful social and environmental change; People oriented culture - wellbeing is a priority, as is being a nice person; Transparent and open culture - you will be heard; Development - focus on bringing the best out of each other;
Satalia (NPComplete) is seeking a Senior Data Scientist to lead technical projects. You'll design training pipelines, maintain production services, and architect AI systems using large scale datasets. The ideal candidate has over 5 years of experience shipping ML models to production and expertise in NLP/LLMs. The position is fully remote, offering flexible hours, generous leave, and benefits including private healthcare and an annual bonus for successful performance.
04/05/2026
Full time
Satalia (NPComplete) is seeking a Senior Data Scientist to lead technical projects. You'll design training pipelines, maintain production services, and architect AI systems using large scale datasets. The ideal candidate has over 5 years of experience shipping ML models to production and expertise in NLP/LLMs. The position is fully remote, offering flexible hours, generous leave, and benefits including private healthcare and an annual bonus for successful performance.
Cloud Developer Role type: Permanent Location: UK 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. THE ROLE We are seeking a highly skilled Cloud Developer to create and maintain the cloud 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 Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure and be willing to work across all clouds. You will be responsible for deploying commercial-grade APIs using Python Docker images, Typescript 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. What you'll be doing: 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 GraphQL to traditional FTP based integrations. Applying DevOps 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 What we want from you: Strong experience in creating and deploying cloud infrastructure using Azure, AWS, GCP 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. Knowledge of DevOps principles and Git, preferably with experience in modern techniques such as Monorepos Proficiency in Infrastructure-as-Code languages such as Terraform and CloudFormation. Understanding of design patterns for building scalable and efficient systems. A quality-driven, test first mindset. Excellent written and verbal communication skills. Familiarity with Diagrams-as-Code for documenting infrastructure architecture is a plus. Understanding of modern authentication protocols such as OAuth2 and OIDC. Consideration of cross-cutting concerns like observability and security in infrastructure design. Contributions to Open Source projects are a plus. Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience). What we can offer you: Generous leave - 27 days' holiday plus bank holidays and enhanced family leave Development - annual development budget to upskill yourself Benefits - enhanced pension, life assurance, income protection, private healthcare Annual bonus - when Satalia does well, we all do well Remote working - café, bedroom, beach - wherever works Impactful projects - focus on bringing meaningful social and environmental change People oriented culture - wellbeing is a priority, as is being a nice person Truly flexible working hours - school pick up, volunteering, gym - no problem Transparent and open culture - you will be listened to and heard 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. 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. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within the Satalia Recruitment Privacy Policy.
03/05/2026
Full time
Cloud Developer Role type: Permanent Location: UK 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. THE ROLE We are seeking a highly skilled Cloud Developer to create and maintain the cloud 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 Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure and be willing to work across all clouds. You will be responsible for deploying commercial-grade APIs using Python Docker images, Typescript 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. What you'll be doing: 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 GraphQL to traditional FTP based integrations. Applying DevOps 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 What we want from you: Strong experience in creating and deploying cloud infrastructure using Azure, AWS, GCP 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. Knowledge of DevOps principles and Git, preferably with experience in modern techniques such as Monorepos Proficiency in Infrastructure-as-Code languages such as Terraform and CloudFormation. Understanding of design patterns for building scalable and efficient systems. A quality-driven, test first mindset. Excellent written and verbal communication skills. Familiarity with Diagrams-as-Code for documenting infrastructure architecture is a plus. Understanding of modern authentication protocols such as OAuth2 and OIDC. Consideration of cross-cutting concerns like observability and security in infrastructure design. Contributions to Open Source projects are a plus. Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience). What we can offer you: Generous leave - 27 days' holiday plus bank holidays and enhanced family leave Development - annual development budget to upskill yourself Benefits - enhanced pension, life assurance, income protection, private healthcare Annual bonus - when Satalia does well, we all do well Remote working - café, bedroom, beach - wherever works Impactful projects - focus on bringing meaningful social and environmental change People oriented culture - wellbeing is a priority, as is being a nice person Truly flexible working hours - school pick up, volunteering, gym - no problem Transparent and open culture - you will be listened to and heard 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. 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. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within the Satalia Recruitment Privacy Policy.
Cloud Platform Engineer Role type: Contract Location: London/remote Preferred start date: ASAP LIFE 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 The Cloud Platform Engineers deliver infrastructure solutions as part of an experienced cross disciplinary team. We have a developer mindset and deliver our infrastructure through code, holding ourselves to the same quality and code standards as the rest of the team. We need you to use your hands on experience to drive the design, development and deployment of Satalia's Logistics and Delivery products. YOUR RESPONSIBILITIES: Work with our solution architects to identify the best technologies and process for our clients Act as a technical authority to engage and steer discussions on best practice and risk mitigation Ensure security considerations are implemented, tested and maintained Build in Observability MINIMUM QUALIFICATIONS / SKILLS Building infrastructure and deploying code in one of the main Clouds (preferably GCP, Bitbucket Pipelines, Terraform, Kubernetes, ArgoCD, K6) Implementing and maintaining monitoring, logging and tracing tools (Grafana or similar) Communicating and explaining technical concepts at appropriate levels for your team and to clients Understanding of the strengths and weaknesses of Infrastructure and Configuration as Code Safe Deployment strategies and CI/CD Cloud based and Cloud native system design Observability Developer Experience DevOps and SRE InfoSec and SIEM If you know this, even better: We're interested in talking to people who have worked with different technologies. We're looking for candidates who can demonstrate skills from this list, and who have curiosity and want to learn more: Experience in the Logistics industry Practical experience with BitBucket Pipelines, GitHUb Actions Workflows or Azure Devops Pipelines, Repos and Artifacts Experience with Kubernetes, and familiarity with differing Cloud implementations Experience deploying and operating observability stacks in production environments, including integration with Kubernetes workloads and cloud native services Hands on with Terraform - familiarity with Terragrunt, Terratest Experience with Chef, Puppet, Salt, or Ansible in production environments Management of Automation Tooling - Jenkins, CircleCI, GitLab CI Experience with automated testing tools - Selenium, JMeter, Lighthouse Strong scripting skills - Powershell, Python, Bash, Ruby, Perl Satalia 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. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy. Good luck!
03/05/2026
Full time
Cloud Platform Engineer Role type: Contract Location: London/remote Preferred start date: ASAP LIFE 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 The Cloud Platform Engineers deliver infrastructure solutions as part of an experienced cross disciplinary team. We have a developer mindset and deliver our infrastructure through code, holding ourselves to the same quality and code standards as the rest of the team. We need you to use your hands on experience to drive the design, development and deployment of Satalia's Logistics and Delivery products. YOUR RESPONSIBILITIES: Work with our solution architects to identify the best technologies and process for our clients Act as a technical authority to engage and steer discussions on best practice and risk mitigation Ensure security considerations are implemented, tested and maintained Build in Observability MINIMUM QUALIFICATIONS / SKILLS Building infrastructure and deploying code in one of the main Clouds (preferably GCP, Bitbucket Pipelines, Terraform, Kubernetes, ArgoCD, K6) Implementing and maintaining monitoring, logging and tracing tools (Grafana or similar) Communicating and explaining technical concepts at appropriate levels for your team and to clients Understanding of the strengths and weaknesses of Infrastructure and Configuration as Code Safe Deployment strategies and CI/CD Cloud based and Cloud native system design Observability Developer Experience DevOps and SRE InfoSec and SIEM If you know this, even better: We're interested in talking to people who have worked with different technologies. We're looking for candidates who can demonstrate skills from this list, and who have curiosity and want to learn more: Experience in the Logistics industry Practical experience with BitBucket Pipelines, GitHUb Actions Workflows or Azure Devops Pipelines, Repos and Artifacts Experience with Kubernetes, and familiarity with differing Cloud implementations Experience deploying and operating observability stacks in production environments, including integration with Kubernetes workloads and cloud native services Hands on with Terraform - familiarity with Terragrunt, Terratest Experience with Chef, Puppet, Salt, or Ansible in production environments Management of Automation Tooling - Jenkins, CircleCI, GitLab CI Experience with automated testing tools - Selenium, JMeter, Lighthouse Strong scripting skills - Powershell, Python, Bash, Ruby, Perl Satalia 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. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy. Good luck!
Satalia (NPComplete) is looking for a skilled Cloud Developer based in Greater London. The role involves creating and maintaining cloud infrastructure across various platforms such as AWS, Azure, and GCP, using technologies like Python and Docker. Responsibilities include developing serverless applications, overseeing API deployment, and employing DevOps strategies with Terraform. The position offers 27 days of holiday, enhanced family leave, and allows truly flexible working hours in a people-oriented culture.
03/05/2026
Full time
Satalia (NPComplete) is looking for a skilled Cloud Developer based in Greater London. The role involves creating and maintaining cloud infrastructure across various platforms such as AWS, Azure, and GCP, using technologies like Python and Docker. Responsibilities include developing serverless applications, overseeing API deployment, and employing DevOps strategies with Terraform. The position offers 27 days of holiday, enhanced family leave, and allows truly flexible working hours in a people-oriented culture.
Satalia (NPComplete) is seeking a Cloud Platform Engineer to deliver infrastructure solutions, working remotely or from London. This contract role involves collaborating with solution architects to determine optimal technologies and ensuring secure, efficient deployments. Ideal candidates should have extensive experience in cloud technologies, particularly in areas like GCP, Terraform, and Kubernetes, along with strong communication skills. Satalia values autonomy and inclusivity in its workplace culture.
03/05/2026
Full time
Satalia (NPComplete) is seeking a Cloud Platform Engineer to deliver infrastructure solutions, working remotely or from London. This contract role involves collaborating with solution architects to determine optimal technologies and ensuring secure, efficient deployments. Ideal candidates should have extensive experience in cloud technologies, particularly in areas like GCP, Terraform, and Kubernetes, along with strong communication skills. Satalia values autonomy and inclusivity in its workplace culture.
Satalia (NPComplete) is seeking a Mid-Level Data Scientist to work remotely in the UK. This position requires 2-4 years of experience in machine learning and strong Python skills. The candidate will build and iterate on ML models, implement production pipelines, and analyze multimodal datasets. The role also offers flexible working hours and a strong focus on wellbeing and impactful projects. Ideal for someone with a background in ML and a curiosity about LLMs.
03/05/2026
Full time
Satalia (NPComplete) is seeking a Mid-Level Data Scientist to work remotely in the UK. This position requires 2-4 years of experience in machine learning and strong Python skills. The candidate will build and iterate on ML models, implement production pipelines, and analyze multimodal datasets. The role also offers flexible working hours and a strong focus on wellbeing and impactful projects. Ideal for someone with a background in ML and a curiosity about LLMs.