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.
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Lead major DevOps projects: Oversee planning, execution, and delivery while managing project timelines, resources, and stakeholder expectations.
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Provide technical leadership: Develop infrastructure strategies and DevOps practices while offering guidance and support to teams and stakeholders.
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Mentor team members: Provide support and mentorship within the team.
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Manage CI/CD pipelines: Create and manage pipelines on GitLab, architecting and enhancing them to ensure efficient and reliable build, test, and deployment processes.
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Drive process improvements: Identify opportunities to streamline and automate DevOps workflows.
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Design and maintain infrastructure: Implement and maintain tools for deployment, monitoring, and automation.
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Implement security controls: Ensure data and application protection through robust security practices.
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Maintain environments: Oversee existing developer and client environments.
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Diagnose and resolve issues: Troubleshoot issues related to application performance and environments, utilizing technologies such as GCP, AWS, Kubernetes, Docker, and NVIDIA GPUs.
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Enhance developer experience: Create solutions that improve the overall developer experience.
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Collaborate across disciplines: Work closely with Developers, Administrators, and Product Owners, as well as experts in CGI, Data Science, AI, and Computer Vision.
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Document processes: Create and maintain comprehensive software documentation.
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Education: Bachelor’s or Master’s degree in Computer Science, IT, or equivalent experience.
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Experience: 8+ years of relevant experience.
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Technical Proficiency: Proven expertise with CI/CD pipelines and DevOps release management.
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Technologies: Hands-on experience with Docker, Git, GitLab, and at least one major cloud platform (AWS or GCP).
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Experience in Mature Environments: Prior experience in a similar role at a well-established organization.
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Linux and Scripting: Strong Linux skills and scripting capabilities (Bash or Python).
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Motivation: A strong sense of ownership and a drive to achieve results.
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Communication: Ability to read and write documentation in English (B2/C1 level).
- 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.
- Sport subscription
- Health insurance
- Training budget
- Bonus policy
- Hybrid work model
- Modern office with a young team
If you are ready for a new challenge, please send your CV to: careers@skyengine.ai.