• Embed security controls into CI/CD pipelines and engineering workflows • Integrate and operate security controls across CI/CD pipelines • Implement and manage SAST/DAST • Establish secure build and release practices • Drive remediation workflows with developers

• Use your shift to prevent incidents from ever happening. • Run our infrastructure with AWS, Docker and Kubernetes. • Make monitoring and alerting alert on symptoms and not on outages. • Document every action so your findings turn into repeatable actions–and then into automation. • Improve the deployment process to make it as boring as possible. • Design, build and maintain core infrastructure pieces that allow Scentbird scaling. • Debug production issues across services and levels of the stack. • Plan the growth of Scentbird’s infrastructure.

• Design, implement, and maintain CI/CD pipelines. • Manage and optimize Azure infrastructure. • Collaborate with development teams to improve deployment workflows. • Plan, execute, and manage application deployments across development, staging, and production environments. • Work directly with clients to understand requirements, provide technical guidance, and resolve issues. • Prepare documentation and reports for internal teams and clients.

• Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps • Develop and maintain Infrastructure-as-Code using Terraform • Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters • Ensure cloud infrastructure is optimized, secure, and monitored effectively • Collaborate with data science teams to support ML model deployment and operationalization • Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow) • Build and maintain automated ML pipelines to streamline model lifecycle management