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For Companies At a Glance
- Tasks: Join us as a DevOps Engineer to maintain and expand AI microservices.
- Company: Builder.ai makes software development accessible for everyone, backed by major brands and recent funding.
- Benefits: Enjoy stock options, generous leave, private healthcare, and more perks.
- Why this job: Be part of an innovative team pushing AI boundaries while solving engaging problems.
- Qualifications: Computer Science degree, strong Python skills, Docker experience, and familiarity with CI/CD workflows required.
- Other info: Work in a diverse, collaborative environment with opportunities for growth and learning.
The predicted salary is between 36000 - 60000 £ per year.
About Builder.ai
We’re on a mission to make software development building so easy everyone can do it – regardless of their background, tech knowledge or budget. We’ve already helped thousands of entrepreneurs, small businesses and even global brands, like the BBC, Makro and Pepsi achieve their software goals and we’ve only just started.
Builder.ai was voted as one of 2023’s ‘Most Innovative Companies in AI’ by Fast Company, and won Europas 2022 ‘Scaleup of the Year’. Our team has grown to over 800 people across the world and our recent announcement of $250m Series D funding (and partnership with Microsoft) means there’s never been a more exciting time to become a Builder.
Life at Builder.ai
At Builder.ai we encourage you to experiment! Each role at Builder has unlimited opportunities to learn, progress and challenge the status quo. We want you to help us become even better at supporting our customers and take software development building to new heights.
Our global team is diverse, collaborative and exceptionally talented. We hire people for their differences but all unite with our shared belief in Builder’s HEARTT values: (Heart, Entrepreneurship, Accountability, Respect, Trust and Transparency) and a let’s-get-stuff-done attitude.
In return for your skills and commitment, we offer a range of great perks, from private healthcare and discretionary variable pay or commission scheme, to employee stock options, generous paid leave, and trips abroad. #WhatWillYouBuild
Why We Need This Role
We are looking for a DevOps Engineer to help us maintain and expand an ecosystem of microservices developed within the Artificial Intelligence Group. We leverage a range of AI techniques including large scale knowledge graphs and Generative AI (LLMs for text and images). The role includes ensuring robustness and scalability of AI-based production APIs, as well as data and model training pipelines. As we push the boundaries of what is possible, and scale our systems to improve the services we deliver to customers and internal teams, we need individuals that can help us innovate fast, but maintain a high quality bar.
Why You Should Join
The position will be at the intersection of data science and DevOps. You would want to join because of the variety of problems we are facing: support to data scientists in the development of AI-based production APIs; support the design, implementation, deployment, maintenance of our microservices infrastructure, data and model training pipelines. This is an engaging role and you should be an eager problem solver that takes pride in the production of clean, robust and scalable solutions.
Our Tech Stack
- Python
- SQL
- Cypher
- Git/Gitlab and CI/CD workflows
- Terraform
- Docker and Kubernetes (kubectl, helm, helmfile)
- AWS, Azure
Minimum Requirements:
- Computer Science or Software Engineering degree / BSc or higher
- Strong Python coding experience
- Experience with the SQL querying language
- Experience working with Docker both in development and deployment environments
- Experience reading/implementing CI/CD workflows
- Experience with software engineering best practices: unit testing (with mocks), code reviews, design documentation, excellent debugging, troubleshooting skills
Added bonus:
- Background in running Kubernetes
- Experience with Graph databases
- Familiarity with FastAPI (or similar frameworks) for building high-performance APIs
- Familiarity with the OpenAI API or other LLM-based APIs (including streaming capabilities)
- Experience deploying or maintaining ML or LLM pipelines
- Hands-on experience in all facets of automation and systems architecture, with particular focus on Linux and open source technologies
- Experience with GitLab
- Experience working in Cloud environments, in particular Azure or AWS
Benefits:
- Discretionary variable pay or commission scheme dependant on your role
- Stock options in a $450 million funded Series D scale-up company
- 24 days annual leave + bank holidays
- 2 x Builder family days each year
- Time off between Christmas and New Year
- Cycle to Work Scheme
- Season Ticket Loan
- Generous Referral Bonus scheme
- Pension contributions
- Private Medical Insurance provided by AXA
- Private Dental Insurance provided by Bupa
- Access to our Perkbox
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DevOps Engineer - AI/ML employer: Builder
Contact Detail:
Builder Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer - AI/ML
✨Tip Number 1
Familiarize yourself with Builder.ai's mission and values, especially their HEARTT values. This will help you align your answers during the interview and demonstrate that you share their commitment to innovation and collaboration.
✨Tip Number 2
Showcase your experience with the specific technologies mentioned in the job description, such as Python, Docker, and CI/CD workflows. Be prepared to discuss how you've used these tools in past projects to solve complex problems.
✨Tip Number 3
Highlight any experience you have with AI/ML pipelines or microservices architecture. Discussing real-world examples of how you've implemented or maintained these systems can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your problem-solving approach and how you ensure the robustness and scalability of your solutions. Builder.ai values individuals who can innovate quickly while maintaining high-quality standards.
We think you need these skills to ace DevOps Engineer - AI/ML
Some tips for your application 🫡
Understand the Company Culture: Familiarize yourself with Builder.ai's HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency. Reflect these values in your application to show that you align with their mission and culture.
Highlight Relevant Experience: Emphasize your experience with Python, SQL, Docker, and CI/CD workflows. Provide specific examples of projects where you've implemented these technologies, especially in relation to AI or microservices.
Showcase Problem-Solving Skills: Since the role requires an eager problem solver, include instances where you've tackled complex challenges in software development or DevOps. Detail your approach and the outcomes to demonstrate your capabilities.
Tailor Your CV and Cover Letter: Customize your CV and cover letter to reflect the job description closely. Use keywords from the listing, such as 'AI-based production APIs' and 'microservices infrastructure', to ensure your application stands out.
How to prepare for a job interview at Builder
✨Show Your Passion for AI/ML
Make sure to express your enthusiasm for artificial intelligence and machine learning during the interview. Discuss any personal projects or experiences that demonstrate your interest in these fields, as Builder.ai values innovation and a passion for technology.
✨Demonstrate Your Technical Skills
Be prepared to discuss your experience with Python, SQL, Docker, and CI/CD workflows in detail. Provide specific examples of how you've used these technologies in past projects, as this will showcase your technical expertise and problem-solving abilities.
✨Emphasize Collaboration and Teamwork
Builder.ai values a diverse and collaborative team environment. Share examples of how you've worked effectively in teams, supported colleagues, and contributed to group success. Highlight your ability to communicate and collaborate with data scientists and other stakeholders.
✨Align with Builder's HEARTT Values
Familiarize yourself with Builder.ai's HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency. During the interview, relate your personal values and work ethic to these principles, demonstrating that you are a good cultural fit for the company.
