Senior DevOps Engineer

Location:London (Hybrid)

Salary:£75,000 - £100,000 per year

Overview:

We are looking for an experienced and motivated DevOps Engineer to join our growing team, helping to maintain and enhance our infrastructure in support of data-driven and machine learning solutions within the retail automation industry. As a key player in our DevOps/MLOps efforts, you will optimize and manage cloud infrastructure, enabling the efficient deployment of machine learning workflows and data-intensive applications.

At our company, we are focused on making Computer Vision technology accessible to all businesses, pushing the boundaries of what’s possible in the retail automation space. You’ll collaborate closely with product, machine learning, and engineering teams, streamlining deployment processes, automating key tasks, and ensuring the reliability and performance of our operations.

Key Responsibilities:

• Design, deploy, and manage scalable cloud infrastructure (AWS/GCP) to support machine learning workflows and data-intensive applications.
• Implement and maintain CI/CD pipelines for automating build, testing, and deployment processes, ensuring fast delivery of updates.
• Develop and maintain monitoring, logging, and alerting systems to identify and address performance, security, and operational issues proactively.
• Collaborate with machine learning and computer vision engineers to optimize application performance, troubleshoot issues, and ensure uptime in line with SLAs.
• Implement security best practices and compliance standards (e.g., Cyber Essentials, SOC2) to safeguard sensitive data.
• Lead continuous improvement initiatives to optimize infrastructure costs, increase efficiency, and improve performance.
• Stay current on emerging trends and technologies in DevOps and MLOps, and recommend innovative solutions.

Requirements:

• Proven experience as a DevOps Engineer, Site Reliability Engineer (SRE), or similar role, with a focus on cloud infrastructure and automation.
• Proficiency in cloud platforms, with a preference for AWS, and hands-on experience using Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
• Experience with containerization technologies such as Docker, and container orchestration platforms like Kubernetes.
• Strong understanding of CI/CD concepts, with experience using CI/CD tools (e.g., GitHub Actions) to automate software pipelines.
• Familiarity with machine learning concepts and experience managing ML models in production environments (e.g., BentoML, Valohai) is a plus.
• Excellent problem-solving skills, attention to detail, and strong communication abilities.
• Right to work in the UK.

Benefits:

• Hybrid working model with flexibility to work from home and the London office (minimum two days per week in the office).
• Flexible working hours.
• Equity options.
• 34 days of annual leave, including public holidays.
• Bi-annual company retreats and team meetings (workation).
• Private medical insurance, including mental health, dental, and optical cover, along with business and personal travel insurance.
• Pension plans and Cycle to Work scheme.

This is a unique opportunity for a DevOps Engineer passionate about infrastructure and innovation, contributing to the growth of cutting-edge AI/ML technology in a rapidly expanding field.