Live opening · Posted 3 days ago

Sr Lead Software Engineer - AI Security Platform

Northern Trust · Chicago, IL
Workday
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyNorthern Trust
LocationChicago, IL
SourceWorkday
Listed3 days ago

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About the role

Description supplied by the original job listing.

About Northern Trust
As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions.
Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.
With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.
About the Role
We are seeking a highly experienced Senior Lead Software Engineer to support technical development of our AI-powered Code Security Scanner platform. This platform leverages Generative AI and advanced security automation to identify, validate, and report software vulnerabilities across enterprise codebases.
The platform consists of:
React-based web application and user dashboard
Python-based orchestration and scanning framework
Azure AI Foundry integrations
Azure Functions, Azure SQL, and cloud-native services
Containerized scanning environments and security controls
This role will be responsible for ongoing development, architectural evolution, and long-term enhancement of the platform. The successful candidate must be equally comfortable designing user-facing applications, building automation, integrating AI services, and securing cloud-native solutions.
Key Responsibilities
Platform Ownership
Serve as a lead technical developer for the AI Code Scanner platform.
Implement modernization, enhancements, and scalability initiatives.
Front-End Development
Enhance and support the React-based web application.
Improve user experience, reporting dashboards, workflow management, and administrative capabilities.
Implement secure authentication and authorization patterns.
Backend & AI Engineering
Maintain and extend Python-based orchestration and scanning services.
Build integrations with Azure AI Foundry and LLM-based security analysis capabilities.
Enhance automated vulnerability analysis, reporting, and verification workflows.
DevOps & Automation
Design and maintain GitHub Actions workflows.
Manage CI/CD pipelines and ephemeral runner infrastructure.
Improve automation, reliability, observability, and deployment processes.
Cloud Engineering
Design and support Azure-based services including:
Azure AI Foundry
Azure Functions
Azure SQL
Azure Storage
Azure Monitoring and Logging
Azure Entra ID
Required Qualifications
Experience
12+ years of software engineering experience
Experience supporting enterprise-scale applications in regulated environments
Technical Skills
Front-End
Expert-level React development
JavaScript and TypeScript
Modern SPA architecture
REST APIs and authentication integrations
Backend
Expert-level Python development
API design and integration
Automation and orchestration frameworks
Test automation and quality engineering
DevOps
GitHub Actions
CI/CD pipeline design
Infrastructure automation
Container technologies
Cloud
Microsoft Azure
Azure Functions
Azure SQL
Azure Storage
Azure Entra ID
Managed Identities
Azure RBAC
AI & Automation
Experience integrating Large Language Models (LLMs)
Azure AI Foundry or equivalent AI platforms
Agent-based workflows and automation frameworks
Security
Secure software development lifecycle (SSDLC)
Authentication and authorization (OAuth, OIDC, SAML)
Secrets management
Container security
Application security and vulnerability management
Preferred Qualifications
Experience building security scanning platforms
Background in Application Security or DevSecOps
Experience with SARIF and static analysis tools
Experience with Docker, Kubernetes, and sandboxed execution environments
Familiarity with Azure APIM and enterprise networking

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