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- Tasks: Design, build, and maintain our ML serving platform for scalable and reliable services.
- Company: Join Lightricks, an AI-first company transforming visual content creation with innovative technology.
- Benefits: Enjoy flexible work options, competitive pay, and opportunities for professional growth.
- Why this job: Be part of a creative revolution, working with cutting-edge AI technology in a collaborative environment.
- Qualifications: 5+ years in scalable SAAS systems; 3+ years with Kubernetes and CI/CD tools required.
- Other info: On-call rotation includes additional pay for weekend shifts.
The predicted salary is between 48000 - 84000 £ per year.
Lightricks, an AI-first company, is revolutionising how visual content is created. With a mission to bridge the gap between imagination and creation, Lightricks is dedicated to bringing cutting-edge technology to the creative and business spaces. Our AI photo and video generation models, which power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allow creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetise their work and offers brands opportunities to scale their content through tailored creator partnerships.
Our ML Platform team is responsible for building Lightricks’ ML serving platform, which hosts all of the company’s ML models. Our goal is to create streamlined processes to bring functional research code and AI models to production grade systems, where millions of our app users enjoy this magic.
What you will be doing:
- Take a key part in designing, building and maintaining our ML serving platform and making sure it is scalable and reliable.
- Design, build and maintain cloud infrastructure to provide a reliable and scalable platform for other teams to build on.
- Ensure high availability and performance of our production environment.
- Implement and manage CI/CD pipelines to ensure seamless testing, deployment, and monitoring of services running on our platform.
- Develop and maintain monitoring and alerting systems to ensure the early detection of issues, enabling proactive problem resolution.
- Practice sustainable incident response and blameless postmortems.
- Learn and apply industry best practices and share this knowledge with other teams through guidance, lectures and workshops.
- Develop tools and self-serve solutions to simplify the development and deployment processes for other teams at the company.
- Continuously evolve and learn new technologies that can improve our team’s workflow, accelerate the development process and make it more reliable.
Your Skills And Experience:
- 5+ years of proven experience building and maintaining scalable and highly available SAAS systems over GCP/AWS/Azure.
- 3+ years of practical experience with Kubernetes (K8S), Helm/Kustomize, and Infrastructure as Code tools such as Terraform, Pulumi or CrossPlane.
- Experience in building and managing microservice systems in a containerised environment.
- Experience with GitOps methodology and argoCD.
- Experience with CI/CD solutions (Github Actions, Circle CI, Jenkins etc.).
- Hands-on experience with Prometheus, Grafana, or other comparable monitoring tools.
- This role requires an on-call rotation including weekends (Additional payment received for on call shifts on non-working days).
Nice to haves:
- Experience with Developer Experience (DevX) Tools and Practices: Proven track record in enhancing developer productivity through the implementation and management of DevX tools and practices, such as CI/CD pipelines, development environments, and automation frameworks, is highly desirable.
- Experience working with GPUs: Hands-on experience in configuring, managing, and optimising GPU resources for computational tasks, including familiarity with CUDA, TensorFlow, or similar frameworks, is a strong advantage.
- Deep understanding of networking, protocols and network-security concepts.
- Good familiarity with UNIX-like operating-systems and experience writing shell scripts.
- B.Sc. in computer science or similar quantitative field.
Senior DevOps Engineer (AI Company) employer: Lightricks
Contact Detail:
Lightricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior DevOps Engineer (AI Company)
✨Tip Number 1
Familiarise yourself with Lightricks' products and services, especially their AI photo and video generation models. Understanding how these technologies work will not only help you in interviews but also show your genuine interest in the company.
✨Tip Number 2
Network with current or former employees of Lightricks on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations for the Senior DevOps Engineer role.
✨Tip Number 3
Stay updated on the latest trends and best practices in DevOps, particularly around Kubernetes, CI/CD, and cloud infrastructure. Being able to discuss recent developments or tools in these areas during your interview can set you apart from other candidates.
✨Tip Number 4
Prepare to demonstrate your problem-solving skills through practical examples. Be ready to discuss past projects where you successfully implemented scalable systems or improved deployment processes, as this aligns closely with the responsibilities of the role.
We think you need these skills to ace Senior DevOps Engineer (AI Company)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in building and maintaining scalable SAAS systems, particularly with GCP/AWS/Azure. Emphasise your hands-on experience with Kubernetes, CI/CD solutions, and monitoring tools like Prometheus or Grafana.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with Lightricks' mission. Mention specific projects where you've implemented CI/CD pipelines or managed cloud infrastructure, showcasing your ability to contribute to their ML serving platform.
Showcase Relevant Projects: If you have worked on any projects that involved microservices, containerisation, or DevX tools, be sure to include these in your application. Provide links to your GitHub or portfolio to demonstrate your practical experience.
Highlight Continuous Learning: Lightricks values continuous evolution and learning. Mention any recent courses, certifications, or technologies you've explored that relate to the role, such as new cloud services or advancements in AI, to show your commitment to staying current in the field.
How to prepare for a job interview at Lightricks
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with cloud platforms like GCP, AWS, or Azure. Highlight specific projects where you've built scalable systems and how you utilised tools like Kubernetes and Terraform.
✨Demonstrate Problem-Solving Skills
Expect scenario-based questions that assess your ability to troubleshoot and resolve issues in a production environment. Share examples of past incidents and how you approached them, focusing on your incident response strategies.
✨Familiarise Yourself with Their Products
Research Lightricks' applications such as Facetune and Videoleap. Understanding their technology and how your role as a Senior DevOps Engineer can enhance their ML serving platform will show your genuine interest in the company.
✨Prepare for Cultural Fit Questions
Lightricks values collaboration and knowledge sharing. Be ready to discuss how you've contributed to team learning through workshops or mentoring, and how you align with their mission of bridging imagination and creation.
