Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Lead the design and implementation of platform services and infrastructure with an emphasis on architecture, integration patterns, and system reliability
Develop, review, debug, and maintain secure, high-quality production code, applying engineering judgment to ensure it meets our standards regardless of whether it originates from you, a teammate, or an approved artificial intelligence tool
Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability across applications and systems
Lead design reviews and architecture discussions to evaluate solutions, strengthen technical quality, and support scalable delivery
Partner with platform architecture, trust and authorization teams, and downstream IAM consumers to land coherent designs across organizational seams; Lead communities of practice across Software Engineering to increase awareness and adoption of new and leading-edge technologies
Mentoring and coaching engineers through technical guidance
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices
Experience with Identity and Access Management platforms, role-based access control, or entitlement governance at scale
Advanced proficiency in one or more programming languages, frameworks, or platforms such as Java, Spring, Go, Python, Terraform, or Kubernetes
Practical cloud-native experience building and operating services on at least one public cloud provider, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
Advanced understanding of agile methodologies such as continuous integration and continuous delivery, application resiliency, and security
Ability to evaluate technical solutions with a customer-focused mindset and understand how engineering decisions impact users and business outcomes
Strong communication skills with the ability to adapt messages for technical and non-technical audiences
Responsible use of approved artificial intelligence tooling, with critical judgement to validate quality, correctness, security, and performance and experience with Terraform
Preferred qualifications, capabilities, and skills
Experience working in financial services or another highly regulated technology environment with formal audit and control posture
Experience contributing to public cloud platform services, developer platforms, or shared engineering capabilities
Familiarity with responsible artificial intelligence use in engineering workflows, including secure handling of inputs and outputs
Experience improving developer experience, platform reliability, or operational efficiency at scale
