Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain a cutting-edge ML serving platform while supporting research and engineering teams.
- Company: Join Velocity Tech, an AI-first company revolutionising visual content creation for millions.
- Benefits: Enjoy hybrid work, competitive salary, and the chance to tackle real-world AI challenges.
- Why this job: Be part of a passionate team, share best practices, and grow your skills in a vibrant environment.
- Qualifications: 5+ years in scalable SaaS systems; experience with Kubernetes, CI/CD tools, and cloud platforms required.
- Other info: Participate in an on-call rotation with extra pay; straightforward interview process.
The predicted salary is between 56000 - 84000 £ per year.
Direct message the job poster from Velocity Tech
A fast-growing, AI-first company is transforming how people create visual content—powering popular apps used by millions, and helping creators and brands grow through cutting-edge technology.
We\’re looking for an experienced Infrastructure / ML Platform Engineer to join our Machine Learning Platform team. This team builds and supports the platform that powers advanced AI models, helping bring research into production at scale.
Hybrid role – 3 days onsite in Central London
What you’ll do:
- Design, build, and maintain a scalable and reliable ML serving platform
- Develop cloud infrastructure and internal tools to support research and engineering teams
- Set up and manage CI/CD pipelines and monitoring systems
- Build self-serve tools to simplify deployment and development
- Share best practices across teams and help level up the platform
- Take part in an on-call rotation (weekends included, with extra pay)
What we’re looking for:
- 5+ years of experience running scalable SaaS systems in GCP or AWS, or Azure
- 3+ years with Kubernetes, Helm/Kustomize, and tools like Terraform or Pulumi
- Experience with microservices, containerized environments, and GitOps (e.g. ArgoCD)
- Familiarity with CI/CD tools like GitHub Actions, Jenkins, or CircleCI
- Hands-on with monitoring tools like Prometheus and Grafana
Nice to have:
- Experience building Developer Experience (DevX) tools and workflows
- Familiarity with GPU setups (CUDA, TensorFlow, etc.)
- Strong networking and network security knowledge
- Linux/Unix skills and shell scripting
- A degree in Computer Science or a related field
What we offer:
- Hybrid work – 3 days onsite in a vibrant Central London office
- Three-stage interview process – straightforward and transparent
- Competitive salary and benefits
- Work on real-world AI challenges with smart, passionate people
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Consulting
-
Industries
Staffing and Recruiting, Engineering Services, and IT Services and IT Consulting
Referrals increase your chances of interviewing at Velocity Tech by 2x
Get notified about new DevOps Engineer jobs in London Area, United Kingdom.
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 days ago
London, England, United Kingdom 3 days ago
London, England, United Kingdom 1 day ago
London, England, United Kingdom 2 months ago
London, England, United Kingdom 4 days ago
City Of London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 day ago
City Of London, England, United Kingdom £70,000.00-£85,000.00 2 days ago
London, England, United Kingdom 1 month ago
City Of Westminster, England, United Kingdom 1 week ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Senior DevOps Engineer employer: Velocity Tech
Contact Detail:
Velocity Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior DevOps Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as GCP, AWS, Azure, Kubernetes, and Terraform. Having hands-on experience or projects that showcase your skills with these tools can set you apart during discussions.
✨Tip Number 2
Engage with the community around DevOps and machine learning platforms. Join relevant forums, attend meetups, or participate in online discussions to not only learn but also network with professionals who might have insights into the company or role.
✨Tip Number 3
Prepare to discuss your previous experiences with CI/CD pipelines and monitoring systems. Be ready to share specific examples of how you've implemented these in past roles, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Tip Number 4
Since this is a hybrid role, be prepared to discuss your approach to working both remotely and onsite. Highlight any previous experiences where you've successfully collaborated with teams in different environments, showcasing your adaptability and communication skills.
We think you need these skills to ace Senior DevOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in running scalable SaaS systems, particularly in GCP, AWS, or Azure. Emphasise your familiarity with Kubernetes, CI/CD tools, and any hands-on experience with monitoring tools like Prometheus and Grafana.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with the role. Mention specific projects where you've designed or maintained ML platforms, and how you can contribute to Velocity Tech's mission of transforming visual content creation.
Showcase Relevant Projects: If applicable, include links to GitHub repositories or personal projects that demonstrate your expertise in DevOps practices, cloud infrastructure, and any tools mentioned in the job description. This will provide tangible evidence of your capabilities.
Prepare for Technical Questions: Anticipate technical questions related to your experience with microservices, containerised environments, and network security. Be ready to discuss your approach to building CI/CD pipelines and managing cloud infrastructure during the interview process.
How to prepare for a job interview at Velocity Tech
✨Showcase Your Technical Skills
Be prepared to discuss your experience with cloud platforms like GCP, AWS, or Azure. Highlight specific projects where you've implemented scalable SaaS systems and how you utilised tools like Kubernetes, Terraform, or Pulumi.
✨Demonstrate Problem-Solving Abilities
Expect scenario-based questions that assess your ability to troubleshoot and optimise ML serving platforms. Share examples of challenges you've faced in previous roles and how you overcame them.
✨Familiarise Yourself with CI/CD Practices
Since the role involves setting up CI/CD pipelines, be ready to discuss your experience with tools like GitHub Actions or Jenkins. Prepare to explain how you've streamlined deployment processes in past projects.
✨Emphasise Team Collaboration
The job requires sharing best practices across teams, so highlight your experience working collaboratively. Discuss how you've contributed to team knowledge sharing and helped elevate the overall platform performance.
