Blueprint is looking to hire an engineer to build secure, scalable, and automated systems that support cyber-crime and malware disruption initiatives. This role will focus on designing and enhancing cloud-native, AI-powered CI/CD pipelines to ensure secure and reliable software delivery at scale.
Requirements
- Minimum 5 years of experience creating and deploying build pipelines in Azure DevOps.
- Minimum 5 years of experience working on medium-scale AI systems.
- Minimum 5 years of experience with network security, identity, and authentication fundamentals.
- Strong expertise in designing reusable, high-quality CI/CD pipelines for complex systems.
- Hands-on experience with Windows and Linux environments.
- Proficiency with Docker and Kubernetes for containerization and orchestration.
- Knowledge of cloud-native architecture and secure software development lifecycle principles.
Responsibilities
- Design, develop, and optimize automated build and deployment (CI/CD) pipelines for cloud-native applications and AI-powered solutions.
- Implement automated compliance checks for security and responsible AI standards within the development lifecycle.
- Collaborate with engineering teams to integrate security and governance controls into deployment workflows.
- Improve integration, deployment, and observability tools to support medium- to large-scale distributed systems.
- Ensure solutions are scalable, resilient, and secure, following DevOps, DataOps, and MLOps best practices.
- Stay current with emerging technologies and contribute to continuous innovation in engineering systems.
Other
- Strong problem-solving skills and ability to work in fast-paced, collaborative environments.
- Experience with cloud platforms and services such as Azure (beyond DevOps).
- Background in AI/ML systems and applying responsible AI principles.
- Strong coding skills in Python, C-Sharp, and/or Shell scripting.
- Familiarity with security automation and compliance frameworks.
