TIAA ir finanšu pakalpojumu un apdrošināšanas uzņēmums, kas koncentrējas uz pensiju plānošanu, labklājības pārvaldību un ilgtermiņa finansiālo drošību. Tā piedāvājumā ietilpst mūža rentes, individuālie pensiju konti, ieguldījumu pārvaldība un personalizēti finanšu ieteikumi privātpersonām un institucionālajiem klientiem. TIAA tika dibināts 1918. gadā, apvieno pensiju jomas pieredzi ar atbildīgu ieguldīšanu un pārvalda aktīvus 1,2 triljonu ASV dolāru vērtībā, palīdzot klientiem plānot uzticamus mūža ienākumus un pārliecinošāku finansiālo nākotni.
Senior Lead Cloud Engineer, Financial Crime Compliance
Lead TIAA’s AI-enabled cloud transformation for Financial Crimes Compliance, shaping architecture, automation, and governance across enterprise systems. The role focuses on AWS or Google Cloud and combines technical leadership with hands-on engineering.
Apraksts
- Design information systems that meet user needs and align with the organization’s architecture.
- Plan operations and oversee operating system installation, configuration, and maintenance.
- Lead engineering and transform Financial Crimes Compliance with AI-powered solutions and modern cloud technologies.
- Research requirements and develop or modify moderately complex information systems.
- Assess and implement changes to system logic and documentation.
- Use functional expertise, models, workflows, procedures, and feasibility studies to design system solutions.
- Oversee documentation for system operation, maintenance, and development.
- Work with analysts, engineers, and programmers to define project scope, capabilities, performance needs, standards, and interfaces.
- Approve and implement fixes for system constraints and proposed changes.
- Train end users with instructional materials and demonstrations.
- Coach and mentor junior professionals.
Prasības
- At least 5 years of hands-on and leadership experience architecting, designing, developing, and implementing cloud solutions on AWS or Google Cloud Platform.
- At least 3 years designing and developing cloud automation, configuration management, and enterprise infrastructure as code with Terraform, CloudFormation, ARM, Ansible, and Python.
- Strong technical leadership in cloud foundational services, identity and access management, and cloud governance.
- Hands-on or oversight experience with Python, Ruby, Bash, Java, Go, JavaScript, and/or Node.js.
- Direct experience applying AI and machine learning, such as large language models, intelligent automation, generative AI platforms, or AI-driven data analytics.
- Relevant experience in financial crime, risk and compliance, anti-money laundering, sanctions screening, or fraud detection and prevention.
- Familiarity with regulatory data requirements and integration with systems of record.
- AWS or Google Cloud certification preferred.
- AI and machine learning platform or data engineering certifications preferred.
- Familiarity with cloud adoption and well-architected frameworks, account organization, and multi-account architecture preferred.
- Familiarity with network, application, and information security principles preferred.
- Experience with enterprise data foundation programs, data model design, data pipeline development, and technology adoption across multiple systems of record desired.
- University degree preferred.
- At least 5 years of work experience required; 7 or more years preferred.
Priekšrocības
- Retirement program.
- Health, wellness, and work-life offerings.
- Performance-linked incentive program, depending on the role.
- Learning opportunities and development pathways.
- Accessibility support and reasonable accommodations for applicants with disabilities.
- Drug-free and smoke-free workplace.