Serve as the primary point of contact for product-related matters, facilitating communication between teams, with high degree of accountability
Solve technical and business challenges efficiently, proactively addressing issues to support Asset Management reporting and delivery.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience across the Full Stack Software Development Life Cycle, including system design, application development, testing, and operational stability
Proficiency in core Java and front-end UI frameworks (e.g. JS, React, Angular) for full stack development with demonstrated experience building and maintaining production-grade applications
Strong proficiency in SQL for data querying, transformation, and analysis across large, complex financial datasets
Practical experience working with cloud technologies (AWS)
Solid Knowledge of deployment processes, including experience with GIT and version control systems.
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
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
In-depth knowledge of the financial services industry and their IT systems
Preferred qualifications, capabilities, and skills
Experience in the financial services industry
Expertise in designing, implementing, and managing cloud-based solutions using AWS, ensuring scalability, reliability, and security for applications.
Familiarity with observability tools such as Splunk, Dynatrace, or Grafana.
Hands-on experience with GraphQL for efficient data querying and integration.
Experience working with data platforms such as Snowflake or Databricks.
Experience in Kafka messaging
