Ensures successful collaboration across teams and stakeholders
Identifies and mitigates issues to execute a book of work while escalating issues as necessary
Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
Lead the end-to-end design and development of software solutions, from requirements to production deployment and support
Serve as a technical owner for key components/services, driving architecture, code quality, performance, resilience, and security
Build and maintain backend services using Java/Python (including Spring) and modern API patterns
Deliver full stack capabilities, including front-end development using React, and integration with backend APIs
Design and implement data pipelines and processing solutions leveraging Databricks (Spark-based patterns) and cloud data services
Build cloud-native solutions on AWS, leveraging services such as EMR, Glue, ECS/EKS, RDS, Lambda, and Step Functions
Design, integrate, and operationalize AI/ML and LLM-powered features (e.g., retrieval workflows, copilots/assistants, automation) with appropriate engineering rigor (testing, monitoring, governance alignment)
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
Experience leading teams of technologists
Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.
Experience with hiring, developing, and recognizing talent
Strong hands-on coding experience with Java and/or Python, including Spring for backend service development
Full Stack development experience, including React and modern web development practices
Practical cloud-native engineering experience, including deployment and operations on AWS
Experience in AWS (EMR, GLUE, ECS/EKS, RDS, Lambda and Step Functions)
Experience with data engineering/ETL and distributed processing; Databricks experience (e.g., Spark, jobs/workflows, Delta patterns)
In-depth knowledge of the services industry and their IT systems
Preferred qualifications, capabilities, and skills
Experience working in a large Banking or Financial Services Technology environment
