Staff Security Engineer

We are looking for a skilled Security Engineer to join our DevOps team. The ideal candidate will have a strong background in both security and DevOps practices, with a focus on integrating security into the software development lifecycle (SDLC) and design, implement, and maintain security tools and processes for continuous integration and continuous deployment (CI/CD) environments.This role involves close collaboration with development and IT operations teams to implement automation using the latest AI technologies to enhance the performance and add efficiencies.

REQUIRED QUALIFICATIONS

• 7+ years of coding experience using Python with expertise in solution and software development.
• 7+ years in DevOps/MLOps and a deep understanding of software engineering principles.
• 7+ years of experience in TensorFlow and PyTorch, with additional cloud platform familiarity.
• 7+ years experience in managing SDLC environments for complex projects and cross-functional teams.
• 3+ years experience with implementing AI to enhance processes and efficiency.

PREFERRED QUALIFICATIONS

• Proven ability to manage the production lifecycle of an MLOps pipeline.
• Deep understanding of model deployment and serving.
• Experience with orchestration and containerization methodologies.
• Familiarity with model serving tools such as MLflow, Databricks Serving, SageMaker, etc. (TensorFlow Serving is a plus).
• Experience implementing CI/CD pipelines for ML projects.
• Competence in developing automation pipelines (e.g., using GitHub Actions).
• Proficiency in Infrastructure as Code tools (e.g., Terraform, Databricks Asset Bundles,etc).
• Strong understanding of monitoring and observability, including logging tools (e.g., Prometheus, Grafana) and drift detection.
• Exceptional communication and presentation skills, with the ability to adapt messaging for various audiences.

EDUCATION

• Bachelor degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience).