State Street
Investment Banking
FullStackSolutionArchitect-VP
Neural analysis suggests this role is
optimal for VP candidates.
“Full Stack Solution Architect - VP at State Street. Skills: Full-Stack Solution Architect & Developer, Microservice/RESTful API based application development, AWS / Azure / GCP Public Cloud based implementation, Low latency computing system design & implementation, Event driven system design & implementation, AI/ML applied Data Science techniques, BigData analytics. Provide multiple concurrent project governance, planning and budgeting. Implement governance and controls process to ensure intake,”
What You'll Achieve.
Deliver scalable, low latency, high performance, cloud-native, secured enterprise solutions
Industry & Context.
Optimizing system integrations
What They're Looking For.
Must Have
10 years or more work experience in related roles, Extensive experience with Java, Python, React, JQuery, Node. JS, Spark, Spring Frameworks, Kafka, MQ, PLSQL, API, etc., Agile/Kanban methodology training and experience, Proficient with planning tools MS Project, Excel, PPT
Nice to Have
Experience with Microsoft Copilot and GitHub Copilot, LLM Application Development, RAG, LangChain, MLOps and Model Deployment, Natural Language Processing (NLP)
What You'll Do.
Provide multiple concurrent project governance
planning and budgeting
Implement governance and controls process to ensure intake
and effective status communication
Work with multiple technology and project teams including business application development
corporate enterprise architecture
and infrastructure support teams
Implement process for creation and maintenance of business application platform lifecycle roadmaps as part of the governance process
How You'll Work.
Team & Collaboration
Work with multiple technology and project teams including business application development, corporate enterprise architecture, and infrastructure support teams
Communication Scope
Effective status communication
Process & Methodology
Project governance, planning and budgeting, Governance and controls process, Intake, prioritization, and effective status communication, Business application platform lifecycle roadmaps
Full Job Description
**Who we are looking for** We are looking for a hands-on Full-Stack Solution Architect & Developer with extensive experience driving innovative technology solutions and leading complex projects across diverse domains like Investment Banking, Global Market Data, Securities Finance, and Foreign Exchange. Needs to be proficient at bridging business visions with pragmatic approach and cutting-edge open-source technology to deliver scalable, low latency, high performance, cloud-native, secured enterprise solutions. The ideal candidate should have proven expertise in designing and implementing end-to-end system architectures optimizing system integrations, skilled in hybrid cloud computing and digital transformation initiatives in Investment Banking (Front/Middle/Back-office applications). This role can be performed in a hybrid model, where you can balance work from home and office to match your needs and role requirements. **What you will be responsible for** As Full Stack Solution Architect you will: * Provide multiple concurrent project governance, planning and budgeting * Implement governance and controls process to ensure intake, prioritization, and effective status communication * Work with multiple technology and project teams including business application development, corporate enterprise architecture, and infrastructure support teams. * Implement process for creation and maintenance of business application platform lifecycle roadmaps as part of the governance process **What we value** These skills will help you succeed in this role * Microservice/RESTful API based application development using full-stacks - Spring Boot, MERN stacks * AWS / Azure / GCP Public Cloud based implementation end to end from infra provisioning to app deployment and observability. * Low latency computing system design & implementation. * Event driven system design & implementation. * Experience with AI/ML applied Data Science techniques (machine learning, deep learning, neural networks,
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