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Machine Learning Solutions Architect

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London
6 days ago
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Job Description Job Title: DevOps Solution Architect Location: London, UK Experience: 15+ years ͏ Job Summary: We are seeking a highly experienced DevOps Solution Architect to join our team in London. This role is ideal for a visionary leader with a strong background in DevOps design and transformation, cloud-native engineering, and modern DevOps tooling. The ideal candidate will also bring expertise in Site Reliability Engineering (SRE) principles and practices, with a focus on building scalable, reliable, and resilient systems. ________________________________________ Key Responsibilities:

  • Architect and implement scalable, secure, and high-performance DevOps solutions.
  • Lead DevOps transformation initiatives across enterprise environments.
  • Design and implement cloud-native solutions on Azure, AWS, or GCP.
  • Apply SRE principles to ensure system reliability, availability, and performance.
  • Build and maintain CI/CD pipelines and infrastructure as code (IaC).
  • Evaluate and integrate modern DevOps tools and practices.
  • Collaborate with cross-functional teams to align DevOps and SRE strategies with business goals.
  • Mentor and lead DevOps teams, fostering a culture of innovation and continuous improvement.
  • Leverage AI and machine learning to optimize DevOps and SRE processes.
  • Ensure compliance, security, and operational excellence in all DevOps practices. ͏ Required Qualifications:
  • 15+ years of experience in IT, with a strong focus on DevOps and cloud architecture.
  • Proven experience in DevOps design and transformation across multiple projects.
  • Deep expertise in tools such as Jenkins, Docker, Kubernetes, Ansible, Terraform, and others.
  • Hands-on experience with one or more cloud platforms: Azure, AWS, or GCP.
  • Strong background in cloud-native engineering and solution architecture.
  • Demonstrated experience in applying SRE practices such as SLIs, SLOs, error budgets, and incident response.
  • Exposure to AI/ML technologies and their application in DevOps and SRE.
  • Strong leadership and mentoring experience.
  • Excellent communication, collaboration, and problem-solving skills.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. ________________________________________ Preferred Qualifications:
  • Certifications in DevOps, Cloud Architecture (AWS/Azure/GCP), or SRE.
  • Experience with scripting languages such as Python, Bash, or PowerShell.
  • Familiarity with Agile/Scrum methodologies and DevSecOps practices. #J-18808-Ljbffr

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