Platform Engineer

About Builder.ai

We’re on a mission to make software development 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 AI app 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 range of great perks, from hybrid working and a variable annual bonus, to employee stock options, generous paid leave, and trips abroad #WhatWillYouBuild

Why you should join

At Builder.ai, you'll join a trailblazing team rewriting the software development landscape, driven by innovation and creativity. Collaborate with a global community, embracing diverse perspectives, and contribute to impactful projects that span industries. Our inclusive and collaborative culture fosters personal and professional growth, supported by a commitment to your success. With cutting-edge technology, endless possibilities, and a platform to unleash your potential, Builder.ai offers an unparalleled opportunity to shape the future of software development while making a meaningful global impact.

About the role

Our Platform & DevOps team build and maintain the tools and infrastructure that support our entire ecosystem. We currently service in excess of 2.5k, actively developed, customer applications as well as the infrastructure that supports them. With CI/CD automation designed to make getting infrastructure deployed a “self-service” exercise for our legion of software engineers.

You will be responsible for all the tooling and automation involved with our stack of applications and services. This covers everything from designing and maintaining the IaC and infrastructure to building and implementing tools to aid a seamless fault-tolerant deployment process for both infrastructure and applications. There will be a strong element of the constant evolution of our platform, including maintenance and periodic upgrades to components, ensuring the best experience for our engineers and customers.

This will be a challenging role where you have to use all of your experience and be able to think on your feet when it comes to problem-solving. You will need to have a hunger to learn and be a quick study at learning new tools and technologies. Applying those new tools and technologies will also require confidence in your skills and abilities. Have the courage to introduce new techniques and ways of working, yet still, be humble enough to know that keeping the business operating takes priority over everything.

You will have a background in either Software or Infrastructure Engineering with a strong focus on good DevOps practices.

We expect you to:

• Know the DevOps lifecycle completely and its various permutations
• Be accomplished in building and developing automated pipelines for Infrastructure management & software deployment; including
• CI/CD Workflows
• GitOps Workflows
• Using container-based pipelines (i.e GitHub Actions, Gitlab Runners, etc)
• Container & package registry management

• Not only have experience using Kubernetes but also in managing and maintaining a cluster.
• Have the skills to build and maintain the infrastructure required to run one of our Kubernetes clusters
• Understand ways in which to monitor infrastructure and applications, track metrics and build alerts into the monitoring solutions.
• “Test, Test and Test again”
• Hold yourself to the highest levels of security in all your work.
• Have a strong understanding of scripting languages, with Python & Bash being minimum prerequisites.
• Bring software engineering best practices to the table: unit testing, code reviews, design documentation, excellent debugging, and troubleshooting skills
• Value good documentation and contribute to our internal knowledge bases with articles, how-tos, runbooks and much more.
• Be passionate about loosely held values and ideas. We want someone who has experience but is not blinded by the path already taken.
• Make decisions based on data. Expertise in data-driven decision-making in a sales or partnership environment. You prefer making decisions based on deep analysis when it comes to evaluating sales achievements and course correcting

Essential Skills

For this role, it will be essential that you:

• Can read & write in the Python programming language
• Have experience working with and building Kubernetes clusters
• Demonstrate experience in building CI/CD pipelines using tools like GitHub or Gitlab

Your Tools

Our current stack consists of the following tools and technologies, it’s not a definitive list but gives you an idea of what you will be working with. Any experience you have with any of these is highly advantageous, but if you come up short with any of these don’t worry as you will get support in upskilling in these tools.

• Git, Gitlab & GitLab Runners
• Containers. Kubernetes (including AKS & EKS) & Kops
• Python & Bash (and maybe a smattering of Go)
• Azure, AWS & Digital Ocean Cloud Environments
• Networking, including service meshes & load-balancing
• Terraform, Ansible and IaC management
• Helm/Helmfile & Kubernetes manifests
• Prometheus, Grafana & Loki
• Various types of data storage