Cloud Engineer

Cloud Engineer

Posted Today by SixteenFifty

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£450 Per day
Outside
Hybrid
United Kingdom
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Amazon Web Services (AWS) Application Programming Interface (API) Applications Of Artificial Intelligence Artificial Intelligence Automation Business Process Cloud Computing Cloud Engineering Cloud Governance Cloud Services Cloud Technologies Cloud Technology Continuous Integration and Continuous Delivery Datadog Data Engineering DevOps Employee Performance Management Identity And Access Management Infrastructure as Code (IaC) Management Operational Efficiency Performance Management Python (Programming Language) Scripting Stakeholder Engagement Stakeholder Management Workflows

Summary: The Cloud Engineer role involves designing, building, and operating automation solutions powered by Agentic AI, focusing on cloud engineering, data platforms, and AI. The position requires collaboration with a team to develop scalable AI-driven solutions using AWS services and large language models. The role is based in London, requiring occasional office presence, and is classified as outside IR35 with a daily rate of £450. Candidates should possess strong experience in cloud technologies and automation processes.

Key Responsibilities:

  • Design, develop, and deploy cloud-native automation solutions using Agentic AI frameworks and generative AI technologies.
  • Build and manage AI applications leveraging AWS Bedrock and associated AWS services.
  • Develop intelligent workflows and autonomous agents that automate operational and business processes.
  • Integrate AI solutions with enterprise data platforms, including Teradata.
  • Design and implement scalable Python-based services, APIs, and automation tools.
  • Monitor, troubleshoot, and optimise cloud environments using Datadog.
  • Collaborate with data engineering teams to enable secure and efficient access to enterprise datasets.
  • Implement infrastructure and application observability, logging, and alerting best practices.
  • Ensure solutions are secure, resilient, cost-effective, and aligned with cloud governance standards.
  • Contribute to architecture decisions, technical standards, and continuous improvement initiatives.

Key Skills:

  • Proven experience as a Cloud Engineer, Platform Engineer, or similar role.
  • Strong hands-on experience with AWS cloud services.
  • Demonstrable experience building solutions using AWS Bedrock and generative AI technologies.
  • Strong Python development skills, including API development and automation scripting.
  • Experience working with Teradata in enterprise environments.
  • Hands-on experience with Datadog for monitoring, observability, and performance management.
  • Experience designing and implementing cloud-native architectures.
  • Knowledge of CI/CD pipelines, Infrastructure as Code (Terraform, CloudFormation, or similar), and DevOps practices.
  • Strong understanding of cloud security, identity management, and operational best practices.
  • Excellent problem-solving, communication, and stakeholder engagement skills.

Salary (Rate): £450 daily

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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 ies

  • Design, 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 ence

  • Proven 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.

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