Senior Software Engineer - CAO Data & Insights

About this role:

The Technology for the Chief Operating Office (TCOO) organization, provides technology services for the Chief Operating Office. This includes operations, control executives, strategic execution, business continuity and resiliency, data solutions and services, regulatory relations, customer experience, enterprise shared services, supply chain management, and the corporate properties group. TCOO provides technology solutions and manages application portfolios for these groups to support modernization and optimization.

Within TCOO we are seeking a Senior Engineer who enjoys and thrives on solving complex problems through innovation impacting change at scale in a diverse environment. You will join a focused team of engineers introducing and advancing Artificial Intelligence solutions across Chief Administrative Office (CAO) platforms which include document processing, prompt engineering, etc spanning multiple lines of business supporting the entire firm.  The team will drive technology transformation and adoption of AI, Cloud and on-premise solutions integrating with enterprise platforms. 

In this role, you will:

• Lead complex initiatives and deliverables within technical domain environments
• Contribute to large scale planning of strategies
• Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
• Review complex technical challenges that require an in-depth evaluation of technologies and procedures
• Resolve complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
• Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
• Design, code, test, debug, and document for projects and programs
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
• Execute the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
• Maintain knowledge of industry best practices and new technologies and recommend innovations that enhance operations or provide a competitive advantage to the organization
• Strategically engage with all levels of professionals across the enterprise and serve as an expert
• Architect and deploy solutions on-premise and on Google Cloud (GCP), ensuring scalability, reliability, and performance
• Deliver solutions by leveraging Agentic AI frameworks for the Chief Operating Office (TCOO)
• Translate AI engineering knowledge and business requirements into technical engineering solutions
  Leverage expertise to implement innovative and significant business solutions

Required Qualifications:

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 4+ years working with Python and/or Java
• 4+ years of experience with Spring, Spring MVC, SpringUI, ORM (Hibernate, Spring JDBC, JPA), JDBC, SpringBoot, Messaging Services (Kafka, JMS), AngularJS/jQuery/ExtJS/ReactJS
• 4+ years of experience with Microservices and Restful API development
• 4+ years of experience in gathering user requirements, designing and building distributed computing solutions using Test Driven Development (TDD)
• 4+ years of experience in Relational Databases (SQL Server, Oracle, DB2 or others)  
• 4+ years of working with DevOps tools (Git, Jenkins, Automation Deployment toolkits)   
• 4+ years working in an Agile development environment

Desired Qualifications:

• 3+ years of Financial Industry experience
• Experience working with Python and Python frameworks
• Experience working with LLM models and prompt engineering
• Proficiency with Cloud computing platforms (GCP, Azure or AWS)
• Experience delivering solutions with UI/UX capabilities leveraging REST or GraphQL APIs
• Experience with caching technologies such as Coherence, MongoDB, Redis, etc.
• Experience with NoSQL databases
• Experience with configuration and monitoring technologies such as Ansible, Grafana, Elastic, Splunk, Prometheus or AppDynamics
• Knowledge of Kubernetes platforms (preferably RedHat OpenShift)
• Google / Azure / Amazon Cloud certifications