Software Engineering Technical Team Lead
S&P Global - Princeton, NJ
Hiring: Software Engineering Technical Team Lead Company: S&P Global Location: Princeton, NJ Job Posted Time: 2026-09-03 10:42:41 Target Skills & Keywords : API Gateway, AWS, Angular, Azure, CI/CD, CSS, Capital Markets, CloudWatch, Data Pipeline, Databricks, Derivatives, ECS, EKS, Equities, Gradle, HTML, IAM, Integration Testing, Java, JavaScript, Lambda, Maven, Microservices, Performance Testing, RDS, REST, React, S3, SNS, SQS, Snowflake, Spring Boot, Step Functions, TypeScript, UI Design, Vue About the job 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. •In-depth knowledge of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Required Skills: •This 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. •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. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!