Software Engineer (MLOps)

The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate.

• Collaborate with Data Scientists and Security Researchers to extract, transform, and load (ETL) data for exploratory analysis and ML experiments.
• Build and maintain scalable feature engineering pipelines, leveraging POC code and stakeholder inputs.
• Ensure data quality, integrity, and readiness for ML model development.
• Develop robust, scalable, and maintainable ML training and inference pipelines.
• Standardize components using SDKs/frameworks for reusability and consistency.
• Implement model monitoring (accuracy, false positives, etc.) and enable continuous improvement.
• Conduct performance, scalability, and reliability testing of ML pipelines.
• Automate infrastructure provisioning (e.g., using Bicep, Terraform, ARM) and manage CI/CD pipelines for ML workflows.
• Deploy ML pipelines to staging and production environments, provisioning dependencies (linked services, storage, Spark pools/clusters).
• Implement service monitoring, incident response, and operational health checks for data and ML systems.
• Develop self-service tooling to streamline productivity for developers and researchers.
• Work closely with AI researchers, platform engineers, and application developers to deliver seamless, secure data workflows.

• 5-8 years' experience in a data infrastructure, DevOps, SRE, or MLOps role supporting high-volume, low-latency data systems.
• Hands-on experience with data architectures, ETL pipelines, and feature engineering for ML workflows.
• Expertise in data mining, data storage, and Extract-Transform-Load (ETL) processes.
• Experience with DevOps practices, CI/CD pipelines, and infrastructure automation using tools like Bicep, Terraform, ARM, or similar.
• Familiarity with distributed systems, containerization (Kubernetes, Docker), and orchestration frameworks.
• Solid understanding of scripting language preferably Python, Scala and pyspark is more suited.
• Familiarity with Azure ML/Data Analytics tools such as Synapse
• Experience with DevOps practices and managing CI/CD pipelines.
• Experience with MLOps tooling for model governance, monitoring, and compliance.

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect

Microsoft aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions.