SKY ENGINE AI is an artificial intelligence company headquartered in London, UK, serving blue-chip Forbes 500 companies. We help enterprises solve their data and machine learning vision AI challenges in the era of AI-driven business transformation, empowering companies across multiple industries. This is your chance to join an exciting AI venture working with state-of-the-art technologies such as synthetic data simulations, generative AI, digital twins, and industrial metaverses.
We are currently seeking a Senior Lead DevOps Engineer to manage and advance our DevOps practices. This role focuses on implementing best practices, cloud-based solutions, infrastructure automation, and robust, scalable automation solutions. It requires deep technical expertise, strong leadership capabilities, and the ability to drive strategic initiatives across teams.
Day-to-Day Responsibilities:
Lead major DevOps projects: Oversee planning, execution, and delivery while managing project timelines, resources, and stakeholder expectations.
Provide technical leadership: Develop infrastructure strategies and DevOps practices while offering guidance and support to teams and stakeholders.
Mentor team members: Provide support and mentorship within the team.
Manage CI/CD pipelines: Create and manage pipelines on GitLab, architecting and enhancing them to ensure efficient and reliable build, test, and deployment processes.
Drive process improvements: Identify opportunities to streamline and automate DevOps workflows.
Design and maintain infrastructure: Implement and maintain tools for deployment, monitoring, and automation.
Implement security controls: Ensure data and application protection through robust security practices.
Maintain environments: Oversee existing developer and client environments.
Diagnose and resolve issues: Troubleshoot issues related to application performance and environments, utilizing technologies such as GCP, AWS, Kubernetes, Docker, and NVIDIA GPUs.
Enhance developer experience: Create solutions that improve the overall developer experience.
Collaborate across disciplines: Work closely with Developers, Administrators, and Product Owners, as well as experts in CGI, Data Science, AI, and Computer Vision.
Document processes: Create and maintain comprehensive software documentation.
Required Qualifications:
Education: Bachelor’s or Master’s degree in Computer Science, IT, or equivalent experience.
Experience: 8+ years of relevant experience.
Technical Proficiency: Proven expertise with CI/CD pipelines and DevOps release management.
Technologies: Hands-on experience with Docker, Git, GitLab, and at least one major cloud platform (AWS or GCP).
Experience in Mature Environments: Prior experience in a similar role at a well-established organization.
Linux and Scripting: Strong Linux skills and scripting capabilities (Bash or Python).
Motivation: A strong sense of ownership and a drive to achieve results.
Communication: Ability to read and write documentation in English (B2/C1 level).
We Appreciate:
Experience with Kubernetes, Terraform, and the ELK stack.
Relevant certifications.
SecOps experience.
Experience managing NVIDIA GPUs.
Experience configuring or maintaining computational clusters or render farms.
Familiarity with GCP or AWS APIs.
Our Office & Benefits:
Sport subscription
Health insurance
Training budget
Bonus policy
Hybrid work model
Modern office with a young team
