Senior Lead Software Engineer - Entra ID

Drive significant business impact and tackle a diverse array of challenges that span multiple technologies and applications

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Chief Technology Office, Identity Access Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

Develops secure and high-quality production code, and reviews and debugs code written by others

Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.

Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Drives decisions that influence the product design, application functionality, and technical operations and processes

Serves as a function-wide subject matter expert in one or more areas of focus

Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Required qualifications, capabilities, and skills

Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines

Formal training or certification on software engineering concepts and 5+ years applied experience

Working proficiency and advanced technical knowledge surrounding Microsoft Identity products specifically Microsoft Entra ID and Windows Active Directory

Deep understanding on Conditional Access strategy, secure SSO integrations for SaaS, privileged access management within Entra ID

Understanding of how modern auth protocols function (e.g, OIDC/OAuth, SAML) and software offerings by Microsoft Entra.

Hands-on practical experience engineering and supporting hybrid identity integrations (e.g., Microsoft Entra Connect / Cloud Sync, AD forests, OU strategy, attribute flow, writeback scenarios where applicable).

Advanced in one or more programming language(s): PowerShell / Desired State Configuration (DSC), Terraform, Python and Ansible

Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test 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 senior engineers/leads on compliant usage patterns and controls.

Ability to tackle design and functionality problems independently with little to no oversight

Preferred qualifications, capabilities, and skills

Experience with Entra ID Governance (access packages/entitlements, lifecycle workflows), Identity Lifecycle Management at scale.

Deep expertise in Identity and Access Management (IAM), including Microsoft Entra ID, ADFS and Active Directory, complemented by strong knowledge of the Microsoft ecosystem, Linux environments, and proxy technologies

Working understanding of integrating disconnected cloud services via identity federation. Both from workforce and workload perspectives