Lead Software Engineer-Full Stack/Multi-Cloud Security

Job Responsibilities

• Design and deliver multi-cloud security and continuous compliance solutions across Azure, AWS, and GCP.
• Translate regulatory and policy requirements into technical controls, measurable KPIs/KRIs, and actionable engineering roadmaps.
• Build control automation for preventive, detective, and corrective controls, including validation, evidence capture, exception handling, and remediation.
• Implement audit-ready observability and traceability across services and delivery pipelines, including logs, metrics, lineage, and reporting.
• Write high-quality, maintainable production code in Python or Go, and contribute to Java components where integration or platform requirements apply.
• Engineer workflow orchestration for control execution, exception processing, and remediation across cloud and platform systems.
• Write and maintain CI/CD pipelines using Jenkins, including DevSecOps quality and security gates.
• Integrate enterprise systems and APIs including Jira, Confluence, Bitbucket, identity/authentication platforms, and cloud provider services.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Proven experience across end-to-end backend delivery: system design, development, testing, deployment, and production operations.
• Strong proficiency in Python or Go for building services and automation.
• Hands-on CI/CD expertise using Jenkins in enterprise delivery environments.
• Solid SDLC execution, including secure coding, test strategy, release governance, and operational support.
• Cloud-native engineering experience on Azure, AWS, or GCP.
• Experience implementing security, audit, and compliance controls in regulated environments.
• Production experience with Kubernetes and workflow orchestration.
• Ability to lead cross-functional delivery and mentor developers, with a strong focus on secure and resilient engineering practices.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test strategy acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.