Software Engineering Lead

S&P Global

Technical Team Lead for leading engineering delivery of AI-enabled financial platform at S&P Global. Focusing on Java full-stack development and team mentorship within financial technology.

Posted 7/12/2026full-timeNew York City • New Jersey, New York • 🇺🇸 United StatesSenior💰 $142,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in Java Full-Stack Development, AWS Cloud-Native Solutions, and Financial Platform Engineering, with a strong focus on scalable architecture, automated testing, and AI-assisted development practices. Proven ability to lead technical teams, mentor engineers, and deliver complex software solutions aligned with financial methodologies.

Highest-signal resume keywords

Java Full-Stack DevelopmentAWS Cloud-Native DevelopmentFinancial Platform EngineeringAutomated Testing and CI/CDTechnical Leadership and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaSpring BootREST APIsMicroservicesReactAngularVueTypeScriptAutomated TestingFinancial Calculation Logic

Soft Skills

MentoringCollaborationTechnical CommunicationProblem SolvingDesign Review

Tools & Technologies

AWS Step FunctionsAWS LambdaAWS RDSDatabricksSnowflakeAzure SynapseCI/CD ToolsSpec-Driven DevelopmentAI-Assisted Engineering ToolsCloudWatch

Industry Keywords

Financial PlatformsIndex CalculationOptions AnalyticsBacktestingCapital Markets TechnologyRisk SystemsPortfolio AnalyticsDerivativesMarket Data SourcesData Processing

Tech Stack

Tools & technologies

AngularAWSAzureCloudJavaJavaScriptMicroservicesReactSpringSpring BootSpringBootTypeScriptVue.js

About the role

Key responsibilities & impact

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.
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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.