Transition of data science and analytics research into scalable, secure, and compliant production systems, establishing enterprise-grade DevOps practices aligned with financial services industry standards.
Requirements
- Deep hands-on expertise in Microsoft Azure services and MLOps, as well as Azure Kubernetes Service (AKS), and Azure networking and security services.
- Proficiency with containerization technologies (Docker, Kubernetes) and infrastructure automation (Terraform, Bicep, ARM templates)
- Strong knowledge of setting up CI/CD automation, Git-based workflows, scripting (PowerShell, Bash, Python), and DevSecOps practices
- Proven experience with AWS-to-Azure cloud migrations, including workload planning, configuration, and post-migration optimization
- Experience with data modeling, particularly Snowflake, including DevOps integration and role-based access control
- Familiarity with enterprise security policies, cloud identity management (Azure AD), and financial data governance standards
- 5+ years of hands-on experience in DevOps, cloud engineering, or platform operation services, research mindset is required
Responsibilities
- Architect, implement, and maintain CI/CD pipelines supporting research modelling activities, translate the PoC model development into formal testing and production deployment of data-driven applications
- Lead efforts to work with product/engineering teams to migrate research team ML DevOps workflows and data pipelines from AWS to Azure, ensuring minimal disruption and high operational integrity
- Integrate and manage tools and services across Azure DevOps, Azure ML, Azure Functions, Azure Key Vault and other services
- Support the operationalization and lifecycle management of Snowflake-based data systems within cloud infrastructure
- Collaborate with data scientists and engineers to deploy machine learning models and analytics workloads using tools like Azure ML and Databricks
- Establish and document cloud security, governance, and compliance controls in collaboration with enterprise architecture, risk, and IT security teams
- Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools such as Terraform, ARM templates, or Bicep
Other
- Self-directed research platform and solutions DevOps enabler
- Work with data scientists and financial data modelers
- Experience working in environments requires strong collaboration with data scientists, engineers, and compliance stakeholders
- Bachelor’s or master’s degree in stem field, preferably computer science, Information Systems, Engineering, or a related field
- The anticipated base salary for this position is $147,700 - $246,300.
