Cloud DevSecOps Engineer

About Stability:
Stability AI is a community and mission driven, open-source artificial intelligence company that cares deeply about real-world implications and applications. Our most considerable advances grow from our diversity in working across multiple teams and disciplines. We are unafraid to go against established norms and explore creativity. We are motivated to generate breakthrough ideas and convert them into tangible solutions. Our vibrant communities consist of experts, leaders and partners across the globe who are developing cutting-edge open AI models for Image, Language, Audio, Video, 3D and Biology.

About the role
We have a huge amount of computing resources and offer access to innovative cloud products, the training and creation of new AI models (Image/Audio/LLM) and research in security around those new models.  We are looking for the first member of a newly formed team, who’ll work together with the director and CISO to create a roadmap that will ensure the future security of Stability AI.

Responsibilities

• You’ll help us future proof, build roadmaps and foresee future issues that might arise with scale
• Author, maintain, and extend Infrastructure as Code and CI/CD pipelines for build, test, and deployment.
• Respond to AWS monitoring alerts relating to security, performance, and availability 
• Contribute to product deployments.
• Remediate security vulnerabilities identified by vulnerability management tools.
• Remediate operational issues in the development, staging and production environments.
• Author, maintain, extend, and improve automation.
• Contribute to operational improvements while building an operational excellence mindset.
• You’ll help with security compliances such as ISO 27001:2022 and SOC2

Qualifications

• A strong background in DevOps, DevSecOps, Security or Cloud Engineering,
• Expert level of Cyber Security experience.
• Expert level of software security and development practices and implementations.
• Expert level knowledge and experience of Kubernetes/Docker/Terraform and AWS (GCP a bonus!)
• 5+ years of demonstrable and significant experience of implementing Docker and Kubernetes in an enterprise environment.
• 5+ years of experience of delivering CI/CD pipelines to automate everything.
• Solid experience of working with languages like Python/Go for automation

Equal Employment Opportunity:

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.