Tech Lead - AI-Driven FinTech Platform

spgi; Princeton (NJ); On-site; USD 150,000 - 190,000; Full time

Job summary

SPGI is seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This hands-on leadership role guides engineers in Java backend services, modern UIs, AI-assisted development, and data workflows, translating financial methodologies into production software.

You will mentor engineers, review architecture, and collaborate with product owners and quantitative teams to ensure secure,

Qualifications

• 12+ years of software engineering experience.
• Significant Java full‑stack development experience.
• Enterprise platform development experience.

Responsibilities

• Lead engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution.
• Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team.
• Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy.
• Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans.
• Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments.
• Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools.
• Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements.
• Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns.
• Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting.
• Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions.
• Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS.
• Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting.
• Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows.
• Apply Spec‑Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components.
• Use AI‑assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review.
• Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards.
• Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards.
• Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation.
• Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS.
• Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring.
• Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines.
• Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform.
• Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices.

Skills

Java full-stack

AWS

AI-assisted engineering

Technical leadership

REST APIs

Frontend development

Tools

Spring Boot

AWS Lambda

API Gateway

S3

RDS

Databricks

Snowflake

Job description

SPGI is seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This hands-on leadership role guides engineers in Java backend services, modern UIs, AI-assisted development, and data workflows, translating financial methodologies into production software.

You will mentor engineers, review architecture, and collaborate with product owners and quantitative teams to ensure secure,