

SixteenFifty
Cloud Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Engineer with a 6-month contract, paying £450 per day. It requires AWS expertise, Python development, and experience with Teradata. The position is hybrid, requiring office presence in London 1-2 times monthly.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
450
-
🗓️ - Date
June 1, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Data Engineering #DevOps #Automation #Monitoring #Scala #Terraform #Datadog #Python #R #Logging #Teradata #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Observability #API (Application Programming Interface) #Cloud #Security #Infrastructure as Code (IaC)
Role description
My client are seeking an experienced Cloud Engineer to help design, build, and operate next-generation automation solutions powered by Agentic AI. This role sits at the intersection of cloud engineering, data platforms, and artificial intelligence, with a strong focus on automating business processes, improving operational efficiency, and enabling intelligent decision-making across the enterprise.
This role is Outside IR35 and is paying £450 per day. There is a requirement to be in the London based office 1 or 2 times per month
.
You will work closely with a team of 5 others to develop scalable AI-driven solutions leveraging AWS cloud services, large language models, and enterprise data platform
s.
Key Responsibilit
• iesDesign, develop, and deploy cloud-native automation solutions using Agentic AI frameworks and generative AI technologi
• es.Build and manage AI applications leveraging AWS Bedrock and associated AWS servic
• es.Develop intelligent workflows and autonomous agents that automate operational and business process
• es.Integrate AI solutions with enterprise data platforms, including Terada
• ta.Design and implement scalable Python-based services, APIs, and automation too
• ls.Monitor, troubleshoot, and optimise cloud environments using Datad
• og.Collaborate with data engineering teams to enable secure and efficient access to enterprise datase
• ts.Implement infrastructure and application observability, logging, and alerting best practic
• es.Ensure solutions are secure, resilient, cost-effective, and aligned with cloud governance standar
• ds.Contribute to architecture decisions, technical standards, and continuous improvement initiativ
es.
Required Skills & Experi
• enceProven experience as a Cloud Engineer, Platform Engineer, or similar r
• ole.Strong hands-on experience with AWS cloud servi
• ces.Demonstrable experience building solutions using AWS Bedrock and generative AI technolog
• ies.Strong Python development skills, including API development and automation script
• ing.Experience working with Teradata in enterprise environme
• nts.Hands-on experience with Datadog for monitoring, observability, and performance managem
• ent.Experience designing and implementing cloud-native architectu
• res.Knowledge of CI/CD pipelines, Infrastructure as Code (Terraform, CloudFormation, or similar), and DevOps practi
• ces.Strong understanding of cloud security, identity management, and operational best practi
• ces.Excellent problem-solving, communication, and stakeholder engagement ski
lls.
Please apply for immediate considera
tion.
My client are seeking an experienced Cloud Engineer to help design, build, and operate next-generation automation solutions powered by Agentic AI. This role sits at the intersection of cloud engineering, data platforms, and artificial intelligence, with a strong focus on automating business processes, improving operational efficiency, and enabling intelligent decision-making across the enterprise.
This role is Outside IR35 and is paying £450 per day. There is a requirement to be in the London based office 1 or 2 times per month
.
You will work closely with a team of 5 others to develop scalable AI-driven solutions leveraging AWS cloud services, large language models, and enterprise data platform
s.
Key Responsibilit
• iesDesign, develop, and deploy cloud-native automation solutions using Agentic AI frameworks and generative AI technologi
• es.Build and manage AI applications leveraging AWS Bedrock and associated AWS servic
• es.Develop intelligent workflows and autonomous agents that automate operational and business process
• es.Integrate AI solutions with enterprise data platforms, including Terada
• ta.Design and implement scalable Python-based services, APIs, and automation too
• ls.Monitor, troubleshoot, and optimise cloud environments using Datad
• og.Collaborate with data engineering teams to enable secure and efficient access to enterprise datase
• ts.Implement infrastructure and application observability, logging, and alerting best practic
• es.Ensure solutions are secure, resilient, cost-effective, and aligned with cloud governance standar
• ds.Contribute to architecture decisions, technical standards, and continuous improvement initiativ
es.
Required Skills & Experi
• enceProven experience as a Cloud Engineer, Platform Engineer, or similar r
• ole.Strong hands-on experience with AWS cloud servi
• ces.Demonstrable experience building solutions using AWS Bedrock and generative AI technolog
• ies.Strong Python development skills, including API development and automation script
• ing.Experience working with Teradata in enterprise environme
• nts.Hands-on experience with Datadog for monitoring, observability, and performance managem
• ent.Experience designing and implementing cloud-native architectu
• res.Knowledge of CI/CD pipelines, Infrastructure as Code (Terraform, CloudFormation, or similar), and DevOps practi
• ces.Strong understanding of cloud security, identity management, and operational best practi
• ces.Excellent problem-solving, communication, and stakeholder engagement ski
lls.
Please apply for immediate considera
tion.






