{"id":180199,"url":"https://alion.io/job/sp-global-software-engineering-technical-team-lead","title":"Software Engineering Technical Team Lead","company":{"id":8679,"name":"S&P Global","domain":"spglobal.com","url":"https://alion.io/company/spglobal","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":50,"ghost_share":0.06,"stale_share":0.32,"repost_share":0.2,"time_to_fill_p50_days":22,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Princeton, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":142000,"max":215000,"currency":"USD","period":"year","gross":null,"usd_annual":215000},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"Angular","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Databricks","optional":false},{"name":"IAM","optional":false},{"name":"JavaScript","optional":false},{"name":"Platform Engineering","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"Spring Boot","optional":false},{"name":"TypeScript","optional":false},{"name":"Vue.js","optional":false},{"name":"Gradle","optional":true},{"name":"Hibernate","optional":true},{"name":"Java","optional":true},{"name":"Kubernetes","optional":true},{"name":"Maven","optional":true}],"status":"live","first_seen_at":"2026-08-31T14:54:39Z","employer_posted_date":"2026-08-31","last_verified_at":"2026-10-16T02:32:37Z","board_verified":true,"closed_at":null,"days_open":45,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":45},"description":"About the Role:\nGrade Level (for internal use):\n13Role Summary\nWe 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.\nThe 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. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software.\nThis is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components.\nKey Responsibilities\nTechnical Leadership\nLead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution.\n\nDefine technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team.\n\nGuide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy.\n\nPartner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans.\n\nLead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments.\n\nMentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools.\n\nEnsure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements.\n\nHands-On Java Full-Stack Development\nDesign and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns.\n\nBuild platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting.\n\nImplement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions.\n\nDevelop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS.\n\nBuild user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting.\n\nEnsure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows.\n\nAI-Assisted Engineering and Spec-Driven Development\nApply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components.\n\nUse AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review.\n\nReview AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards.\n\nHelp establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards.\n\nSupport AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation.\n\nAWS, Data, and Platform Engineering\nDesign 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.\n\nBuild workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring.\n\nIntegrate 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.\n\nEnsure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform.\n\nSupport CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices.\n\nRequired Experience\n12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery.\n\n5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams.\n\nStrong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design.\n\nHands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS.\n\nExperience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations.\n\nExperience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases.\n\nStrong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness.\n\nExperience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology.\n\nAbility to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs.\n\nExposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable.\n\nPreferred Technical Stack\nBackend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns.\n\nFrontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design.\n\nCloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns.\n\nData 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.\n\nAI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code.\n\nDevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support.\n\nFinancial Domain Knowledge\nThe ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include:\nIndex calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles.\n\nOptions-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies.\n\nBacktesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility.\n\nMarket data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data.\n\nValidation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling.\n\nSuccess Measures\nLeads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform.\n\nProduces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations.\n\nConverts financial methodology specifications into tested, reproducible, and auditable platform logic.\n\nEstablishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness.\n\nUses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality.\n\nBuilds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product, and business stakeholders.\n\nMentors developers and raises the overall technical capability of the team.\n\nCompensation/Benefits Information:\n(This section is only applicable to US candidates)\nS&P Global states that the anticipated base salary range for this position is $142,000 to $215,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications.\nIn addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.\nThis role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.\nAbout S&P GlobalDow Jones Indices\nAt S&P Dow Jones Indices, we provideiconic and innovative index solutions backed by unparalleled expertiseacross the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We’rethe largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500®and the Dow Jones Industrial Average®. More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfoliosand developing investment strategies.\nS&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodityand automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit www.spglobal.com/spdji.\nWhat’s In It For You?\nOur Mission: \nAdvancing Essential Intelligence.\nOur People:\nWe're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.\nOur Values:\nIntegrity,...","description_format":"text","description_chars":15632,"description_truncated":true,"requirements":{"experience_years_min":12,"management_years_min":5,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Retirement plans","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Credit Bureaus & Rating Agencies","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-08-31T14:54:39Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 44 · green card filings: 1","filings_12m":44,"filings_prev_12m":26,"green_card_filings_12m":1,"median_offered_wage_usd":147278,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":22}],"liveness":{"score":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.614,"p_room":0.28,"age_days":45,"expected_fill_days":22,"reasons":["conf:3","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":215000,"is_top_pay":true},"html_url":"https://alion.io/job/sp-global-software-engineering-technical-team-lead","json_url":"https://alion.io/job/sp-global-software-engineering-technical-team-lead.json","meta":{"generated_at":"2026-10-16T13:35:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13074,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":8679},"rest":"https://alion.io/mcp/rest/get_company?id=8679"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsp-global-software-engineering-technical-team-lead"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsp-global-software-engineering-technical-team-lead"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsp-global-software-engineering-technical-team-lead"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/sp-global-software-engineering-technical-team-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsp-global-software-engineering-technical-team-lead"}]}