Protect AI is seeking a software development engineer (SDE) to join their growing Engineering team to build and operate the ‘Protect AI Platform’ covering AI supply chain security, ML Model Scanning, and LLM Security.
Requirements
- Significant experience (4+ years) building and maintaining software systems on Cloud and Kubernetes based infrastructure.
- Significant experience working with containers and Kubernetes, CI/CD pipelines and DevSecOps best practices.
- Significant expertise in IaC tools (Terraform, CDK/CloudFormation).
- Expertise in modern Python (type hints, Pydantic, ..) and at least one strongly typed programming language (Go, Java, Python, C++).
- Experience building Kubernetes Operators to automate operational tasks would be a plus.
- ML/MLOps experience would be a plus.
Responsibilities
- Build and operate Cloud Native infrastructure
- Design and develop innovative products end to end taking ownership of DevSecOps
- Collaborate across functions (Product Managers and Engineers) to understand requirements and develop solutions
- Act as a technical leader and mentor junior team members
- Continuously improve the software development process, including testing, deployment, and monitoring
Other
- This role is located at our Seattle office and in office 3 days a week. This is not a remote role.
- Strong communication and problem solving skills.
- Excited about working in an agile and fast paced environment.
