11 lead software engineer jobs found in New York

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.   As a Senior Lead Software Engineer - Precious Metals / Front Office / Athena at JPMorgan Chase within the Commercial and Investment Banking - Precious Metals and Agriculture - Commodities Tech team, you will be an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.   Job responsibilities Works closely with Trading, Quantitative Research, Sales and Middle Office teams to deliver quality code in a fast paced environment Acts as the regional lead for the Precious Metals and Agricultural products team...

About the Role: Grade Level (for internal use): 16 The Role: Global Head of Cloud & Infrastructure Responsibilities and Impact: Lead S&P Global's Cloud & Infrastructure organization, overseeing cloud platforms, networks, observability, forward deployment engineering, enterprise architecture, and AI foundations across all global business divisions Architect and operate S&P Global's hybrid, multi-cloud estate across Google Cloud, AWS, and Azure with 24×7 reliability, elastic scale, and optimized cost, performance, and sustainability metrics Engineer resilient global networks spanning cloud interconnect, data centers, campus and branch locations, modernizing WAN edge to SASE/SSE while embedding zero trust architecture for market-data and trading workloads Industrialize foundational GenAI capabilities enterprise-wide, building scalable AI-ready data platform foundations while strengthening trust, safety, and observability for agentic AI at scale...

About the Role: Grade Level (for internal use): 11 S&P Global's technology platforms continue to expand in scale, cloud adoption, and regulatory exposure. To support secure delivery across multiple product lines, there is a critical need for a senior DevSecOps role that embeds security directly into engineering platforms, CI/CD pipelines, and developer workflows. This role addresses the growing complexity of cloud-native applications, containerized workloads, and automated delivery pipelines by providing hands-on technical leadership focused on secure-by-default developer experiences and scalable internal security tooling.   Responsibilities and Impact:   Embed automated security controls into CI/CD pipelines across build, test, and release stages, designing risk-based security gates and integrating comprehensive security testing (SAST, DAST, SCA, container scanning) to enable secure-by-default development   Build and maintain...

About the Role: Grade Level (for internal use): 11 The Team We are a global but tight ‑ knit team driven by collaboration and enablement, focused on building scalable, enterprise ‑ grade platforms, services, and common capabilities that drive wins across our entire division. Our team values collaboration, end ‑ user empathy, hard work, and honesty—creating an environment where innovative solutions can flourish and make a meaningful impact at scale. Responsibilities and Impact Drive product strategy and roadmap for critical data infrastructure components, including data onboarding, storage solutions, and core platform engines Lead cross-functional teams to deliver data engineering capabilities, admin utilities, and data quality solutions that enable enterprise-scale analytics Own product vision for disaster recovery and resiliency frameworks to ensure platform reliability and business continuity Define and execute an ontology integration strategy...

About the Role: Grade Level (for internal use): 15 The Team:   The Enterprise Transformation team drives innovation across S&P   Global , leading   strategic   programs   that reshape how the company   operates   and   delivers products and services. We value collaboration, results-driven execution, and   cutting-edge   innovation as we transform the future of work through AI-native capabilities. This team partners directly with   stakeholders   across all divisions   and functions   to deliver measurable   impact   at   enterprise scale.   Responsibilities and Impact:   Lead enterprise-wide scaling of AI-native   PDLC   and   SDLC   transformation across S&P   Global , directly   impacting   how the organization builds and delivers products   Own end-to-end   program   strategy   and execution roadmap   from baseline assessment through implementation,...

About the Role: Grade Level (for internal use): 12 The Team   The Structured Finance (SF) Methodologies team   is responsible for   a large portfolio of criteria and models spanning the global SF universe, including CMBS, RMBS, CLO, Covered Bonds, Non-Traditional and ABS asset types. The criteria and models that the group develops and   maintains   help analysts produce independent credit ratings that increase S&P Global’s analytical relevance in the market. As a Methodology Model SME, the position is embedded within the SF team and works closely with the Model and Criteria SMEs, who are responsible for developing and maintaining a growing portfolio of cutting-edge quantitative tools and analysis that enable analysts to continually produce high-quality and transparent credit analysis.     The Impact   The Associate Director enhances S&P Global Ratings’ ability to produce high-impact, insightful research and models and supports...

You will be poised to achieve extraordinary success and make a high impact on those around you through data solutions. Partner with an organization comprised of the industry’s thought leaders and committed to advancing your leadership career.    As a Senior Director of Software Engineering at JPMorganChase within the Employee Platforms, Workforce Experience Technology (WxT) Workforce Data and Analytics (WDA) team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances  You will lead data engineering and drive impact within teams, technologies, and data product offerings across HR, Employee Experience, CAO and EP technology. Utilize your in-depth engineering knowledge and...

JPMorganChase AI Research is a global team of research scientists, engineers and product managers that develops novel AI capabilities and partners across the firm to translate breakthrough AI/ML techniques into deployed solutions. The team brings together researchers across multi-agent systems, foundation model training, reinforcement and continual learning, multimodal document AI, formal reasoning, planning and verification, and synthetic data generation - alongside experts in trustworthy AI, privacy, and cryptography - to solve hard problems end-to-end in ways that are secure, reliable, and scalable in financial services. AI Research sits within the Chief Data & Analytics Office (CDAO) at JPMorganChase which is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the firm's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also...

About the Role: Grade Level (for internal use): 09 The Team: You will be working with a team of individuals who are curious, collaborative, and critical thinkers. You’ll get to work on a team consisting of engineers, designers and client-facing teams who are all working to redefine how private capital market participants receive and analyze information about their investments. You’ll have plenty of opportunity to identify and define problems, take ownership over solutions, and solve complex problems from both qualitative and quantitative perspectives. The Private Markets product team has a start-up mentality. You will be given an opportunity to execute on a vision and make a noticeable contribution to the business’s success. You will work on modern technologies: cloud-based data platforms, machine learning algorithms, AI-powered systems and automated workflows. Responsibilities and Impact: The Private Markets group, within the S&P Global Market Intelligence...

About the Role: Grade Level (for internal use): 12 The Team: The Fixed Income value stream focuses on providing reliable, scalable and auditable calculation engines and services that are essential for managing our fixed income series of indices. As technology is being reshaped to align with emerging standards, our team operates with a product-first mindset, follows product development lifecycle patterns, and truly adheres to Agile framework principles. Responsibilities and Impact: Design and develop high-performance calculation engines and services for fixed income indices processing large-scale financial data Collaborate with cross-functional teams to implement scalable solutions that support critical business operations and client needs Drive technical excellence by participating in code reviews, architecture discussions, and contributing to best practices for system reliability Work within Agile development cycles to deliver features that enhance our fixed...

About the Role: Grade Level (for internal use): 14 The Team: This team is essential to the division's data strategy, playing a key role in data transformation and leading efforts to replace legacy technical debt. The team embodies a strong commitment to delivering on business needs and demonstrates exceptional collaboration with both product and business partners, bringing high energy and dedication to their work while being known for their collaborative approach and strong technical expertise. Responsibilities and Impact: Lead strategic MDM integration initiatives - Architect and oversee seamless, high-volume data integration between Databricks lakehouse and NeoXam MDM platform, establishing foundational data architecture for multi-billion-dollar index-linked investment products Drive advanced cloud data architecture - Utilize cutting-edge Databricks features including Unity Catalog, Delta Live Tables, and Serverless compute to optimize data...