Software Engineering Technical Team Lead

S&P Global

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Princeton, NJ
Salary
$142,000–$215,000 / yr
Posted
57 days ago
Freshness
Confirmed live today
Closes
Aug 31, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $178k
$127k $279k
below market most similar roles pay here above market

This role pays less than 75% of similar roles. Most pay $181,937–$226,350 — the blue band above. At the midpoint, this role pays about $178k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About S&P Global

S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead.

S&P Global currently has 39 open roles on FindRole.

Listed pay typically runs $145,245–$200,000 across 36 roles with salary data.

Most-posted roles

View all roles at S&P Global

At a glance

TL;DR · Software Engineering Technical Team Lead

The Software Engineering Technical Team Lead will lead a team of engineers in designing, developing, and delivering a financial platform for index calculation and backtesting. This hands-on leadership role involves building scalable backend services, modern user interfaces, and automated testing frameworks while translating complex financial methodology into production-ready software. You will utilize a technical stack including Java, Spring Boot, REST APIs, React, Angular, Vue, TypeScript, and JavaScript. The role requires implementing AWS cloud-native components such as Lambda, ECS/EKS, and Step Functions, alongside data platforms like Databricks and Snowflake. You will also employ Spec-Driven Development and AI-assisted engineering workflows to support code generation and QA. The work focuses on solving technical challenges in options analytics, portfolio backtesting, and high-accuracy financial calculation workflows.

What you'll do

  • Lead the engineering delivery of an AI-enabled financial platform for index calculation and backtesting.
  • Define technical architecture, coding standards, and delivery patterns for the engineering team.
  • Design and develop backend services using Java, Spring Boot, and REST APIs.
  • Build modern frontend applications using React, Angular, Vue, or TypeScript.
  • Implement complex financial calculation logic based on methodology specifications.
  • Design and implement AWS-based platform components including Lambda, ECS/EKS, and Step Functions.
  • Apply Spec-Driven Development to convert financial requirements into testable software components.
  • Use AI-assisted engineering workflows for code generation, refactoring, and automated QA routines.

What we're looking for

  • 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, and guiding delivery teams.
  • Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, and relational databases.
  • 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, and data processing.
  • Experience with AWS cloud-native development including compute, storage, orchestration, security, monitoring, and managed databases.
  • Experience or strong interest in financial platforms, specifically index calculation, options analytics, backtesting, or capital markets technology.
  • Exposure to GenAI engineering, AI-assisted coding, or Spec-Driven Development is highly desirable (preferred).

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