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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.
Job Responsibility:
Integrating security into the software development lifecycle (SDLC)
Design, implement, and maintain security tools and processes for continuous integration and continuous deployment (CI/CD) environments
Close collaboration with development and IT operations teams to implement automation using the latest AI technologies to enhance the performance and add efficiencies
Requirements:
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
Bachelor degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience)
Nice to have:
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
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