# Technical Team Lead — AI, AWS, Java Full-Stack, Financial Platforms **Company**: S&P Global **Location**: Princeton, NJ **Experience**: senior **Job type**: full-time **Salary**: $142,000 to $215,000 **Category**: Engineering **Industry**: Finance **Apply**: https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/Princeton-NJ/Software-Engineering-Manager_328947-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_887be25e-2d5 ## Description We are 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 role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. **Key Responsibilities** **Technical Leadership** - Lead the 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. **Hands-On Java Full-Stack Development** - 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. **AI-Assisted Engineering and Spec-Driven Development** - 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. **AWS, Data, and Platform Engineering** - 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. **Required Experience** - 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. - 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. - Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. - Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. - Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. - Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. - Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. - Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. - Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. - Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. **Success Measures** - Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. - Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. - Converts financial methodology specifications into tested, reproducible, and auditable platform logic. - Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. - Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. - Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product, and business stakeholders. - Mentors developers and raises the overall technical capability of the team. **Compensation/Benefits Information:** The anticipated base salary range for this position is $142,000 to $215,000. ## Skills ### Required - Java - Spring Boot - REST APIs - microservices - relational databases - backend service design - React - Angular - Vue - TypeScript - JavaScript - HTML - CSS - AWS - cloud-native development - automated testing - CI/CD - code quality - observability - secure development - production readiness ### Nice to have - GenAI engineering - AI-assisted coding - agentic development workflows - Claude Code - Claude Code CLI - Spec Kit - Spec-Driven Development --- Source: [Apply at spgi.wd5.myworkdayjobs.com](https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/Princeton-NJ/Software-Engineering-Manager_328947-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)