Software Engineering Manager

Role Summary We are seeking a Technical Team Lead — AI, AWS, Java Full‑Stack, Financial Platforms to lead the design, development, and delivery of an index calculation and back‑testing platform. The role combines hands‑on Java full‑stack engineering, AWS cloud development, AI‑assisted software delivery, and technical leadership across a financial technology platform. Key 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 transform 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 back‑testing assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. 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 adherence to 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 back‑test validation. AWS, Data, and Platform Engineering Design and implement AWS‑based platform components using services such as Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and RDS. Build workflow orchestration for index calculations, back‑test execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including 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. 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, back‑testing, 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. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud‑native security patterns. Data Platforms: AWS RDS, cloud data platforms such as Databricks, Snowflake, or Azure Synapse, relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI‑assisted development, Spec‑Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human‑reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge Index calculation methodologies, level logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options‑based strategies such as covered call, put write, collar, volatility‑based, delta‑based, or rules‑based options strategies. Back‑testing concepts including historical simulation, look‑ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts such as prices, option chains, strikes, expiries, implied volatility, rates, dividends, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Lead the team in delivering a scalable, secure, and reliable index calculation and back‑testing platform. Produce and guide high‑quality Java full‑stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Convert financial methodology specifications into tested, reproducible, and auditable platform logic. Establish strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Use AI‑assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Build strong collaboration across engineering, quantitative analysis, QA, infrastructure, product, and business stakeholders. Mentor developers and raise the overall technical capability of the team. Compensation & Benefits For U.S. candidates, the anticipated base salary range is $142,000 to $215,000, based on geographic location, experience, skill set, certifications, and other factors. The role is eligible for an annual incentive plan. Additional benefits are available. For more information on benefits, please refer to the company benefits portal. Equal Opportunity Employer S&P Global is an equal‑opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to View email address on click.appcast.io and your request will be forwarded to the appropriate person. #J-18808-Ljbffr