Top Lead Software Engineer Jobs in NYC, NY

Design, develop, test, and maintain Android applications using Kotlin and Jetpack Compose. Integrate REST APIs, build accessible interfaces, apply modern architectures, debug performance issues, and maintain quality through unit testing and code reviews. Collaborate in Agile planning, communicate risks and progress, and use AI-assisted tools responsibly. The role may also involve integrating generative AI or machine-learning capabilities into mobile applications.

Lead end-to-end development of high-quality iOS applications using Swift and SwiftUI. Responsibilities include designing accessible interfaces, integrating REST APIs, applying maintainable architectures, debugging and profiling with Xcode, writing unit tests, participating in code reviews and Agile planning, and communicating progress and risks. The role also explores AI-assisted development and integrating AI capabilities into mobile experiences.

Leads software engineering efforts within commercial banking, providing technical guidance, developing and reviewing secure production code, and solving complex design and functionality challenges. Drives adoption and governance of AI-assisted engineering practices, automation, responsible AI controls, and SDLC frameworks. Serves as a subject matter expert, influences product and technical decisions, promotes engineering standards, and partners with technical and business stakeholders to deliver stable, scalable cloud-native systems.

Leads development of secure, scalable Java and cloud applications; designs, codes, tests, debugs, and reviews production software. Drives AI-assisted engineering practices, automation, monitoring, operational stability, secure SDLC adoption, and application resiliency. Evaluates vendor and internal architectural solutions while coaching teams on responsible AI use, secure coding, testing, and agile delivery.

Leads software engineering and quantitative development for asset management technology, building secure, scalable systems supporting research, portfolio management, and investment workflows. Develops and reviews production code using Java and/or Python, applies AWS cloud-native practices and infrastructure as code, improves operational stability, and promotes responsible AI-assisted engineering. Partners with stakeholders and vendors on architecture and technical solutions while supporting data engineering, distributed processing, databases, and financial services applications.

Leads the design, development, testing, troubleshooting, and operational support of secure, scalable Java backend applications. Builds cloud-native microservices, resilient distributed systems, and RESTful solutions using SQL and NoSQL databases. Reviews code, resolves production issues, automates recurring remediation, supports continuous delivery, promotes modern engineering practices, and mentors teams across software engineering.

Leads software engineering for JPMorganChase’s Rates Tech team, designing, developing, testing, debugging, and operating secure, scalable applications. The role includes reviewing code, improving application resiliency, automating recurring remediation, adopting responsible AI-assisted development practices, collaborating with business and technical stakeholders, and evaluating vendor architectures. Preferred expertise includes financial risk platforms, rates products, PnL and risk methodologies, distributed systems, real-time processing, and quantitative finance.

Lead development of full-stack cloud-native applications using Java, TypeScript, Spring Boot, Spring Cloud, and AWS. Responsibilities include designing microservices, APIs, agentic workflows, reactive systems, infrastructure as code, CI/CD, observability, databases, and performance testing. The role also leads responsible adoption of AI-assisted engineering tools, coaches teams on secure validation practices, and troubleshoots multi-agent environments.

Lead software engineering for secure, resilient, scalable platforms and data pipelines. Responsibilities include designing production systems, writing and reviewing code, troubleshooting, improving automation and operational stability, adopting responsible AI-assisted development practices, evaluating architectures, and building micro-frontends. The role uses distributed data platforms, orchestration, lakehouse technologies, hybrid cloud environments, backend services, and modern JavaScript or TypeScript interfaces.

Leads architecture and development of a high-throughput performance reporting engine on AWS. Owns modernization of legacy systems, distributed event-driven design, data modeling, observability, testing, Agile delivery, and engineering standards. Mentors global engineers, partners with business and technology stakeholders, translates financial requirements into technical solutions, and communicates architecture and roadmap decisions to senior leadership.

Leads and mentors software engineers while remaining hands-on in designing, building, and operating enterprise applications. Owns technical direction, architecture, modernization, production stability, and delivery across Java backend services, APIs, and modern web interfaces. Partners with Investment Banking and Global Capital Markets stakeholders to translate business needs into scalable solutions, drives engineering best practices and CI/CD, resolves complex incidents, and uses AI-assisted development tools to improve the software lifecycle.

Lead backend technical strategy and hands-on development for Growth and Monetization systems, including metering, billing, entitlements, pricing, provisioning, payments, onboarding, notifications, and AI-powered customer journeys. Identify growth opportunities, measure business impact, establish engineering standards, and collaborate with product, design, finance, go-to-market, and business leadership. The role may grow into team leadership.

Lead frontend engineering for Nominal’s Growth & Monetization team. Own technical strategy and hands-on development for signup, onboarding, activation, checkout, billing, product discovery, notifications, analytics, and AI-powered customer experiences. Identify growth opportunities, measure business impact, establish frontend architecture and engineering standards, and collaborate with product, design, and go-to-market leaders. Mentor engineers and help build the team as it grows.

Lead a small engineering team while remaining hands-on in designing, building, and shipping production software. Own complex technical initiatives, set architectural direction, mentor engineers, remove technical blockers, and collaborate with Product and Design. The role focuses on distributed systems, cloud-native architecture, software quality, technical execution, and scalable AI platform features.

Leads backend software engineering for secure, scalable, high-throughput systems. Develops and reviews production code, guides engineers and technical partners, influences architecture and technical operations, and promotes software development standards. Builds microservices, streaming and data-processing solutions using AWS, containers, orchestration, caching, and workflow tools. Drives responsible AI-assisted development practices, including validation for security, correctness, testing, resiliency, and delivery efficiency.

Build and operate backend services for Slack’s enterprise productivity integrations with Google Workspace and Microsoft 365. Responsibilities include authentication and authorization flows, admin tooling, connector frameworks, analytics, experimentation, secure architecture, production support, code review, mentoring, and cross-functional collaboration.

Lead a team building LLM-powered products, including conversational interfaces, autonomous research agents, and data-driven tools. Own architecture for agents, retrieval, evaluation, and reliability infrastructure while remaining hands-on with production code. Establish engineering standards, mentor engineers, support hiring, partner with researchers and product stakeholders, and plan delivery across the election cycle.

Lead full‑stack development for hedge fund technology: gather requirements, design and implement Java/Python/React applications, support AWS/Terraform infrastructure and RDS databases, drive AI‑assisted engineering practices, mentor engineers, integrate third‑party vendor systems, and ensure secure, scalable, test‑driven delivery.

Lead software development using Microsoft full-stack technologies, including designing solutions, reviewing code, writing unit tests, troubleshooting defects, documenting systems, estimating work, and reducing code complexity. Provide technical leadership, mentoring, coaching, stakeholder presentations, and oversight of team members and third-party partners. Collaborate on requirements, complex projects, APIs, and emerging technologies while supporting coding standards and continuous improvement.

Leads hands-on software engineering for the Portals team, overseeing architecture, feature development, testing, support, and Agile delivery. Coaches engineers, improves development standards, and collaborates with product owners and stakeholders. The role develops scalable enterprise applications using modern cloud, distributed systems, data, and user interface technologies, while supporting legacy modernization and full software development lifecycle execution.

Lead development of a scalable, secure healthcare EHR platform. Responsibilities include full-stack application development, backend APIs and data models, React and Elm frontend work, Python/Django server-rendered applications, REST and GraphQL integrations, CI/CD, automated testing, troubleshooting, architecture, technical leadership, mentoring, and establishing engineering standards.

Own ToolHound’s technical and product roadmap, architecture, code quality, security, data, performance, releases, and AI-native product development. Lead modernization of its mature .NET platform, ship production AI features safely in a multi-tenant environment, improve velocity and reliability, and mentor the engineering team. Partner with the GM, customers, operators, and business stakeholders to prioritize work, communicate clearly, and increase the platform’s enterprise value.

Leads software engineering within an agile financial-services technology team. Designs, develops, tests, troubleshoots, and maintains secure, scalable production applications using Java, Spring Boot, Kafka, and cloud-native technologies. Reviews code, improves operational stability, automates recurring remediation, and promotes enterprise-approved AI-assisted development practices with validation for security, performance, and correctness. Evaluates vendor and architectural solutions while applying software development lifecycle, resiliency, security, and agile expertise.

Leads the design, development, integration, and optimization of Salesforce CRM Analytics and Tableau solutions. Builds dashboards, data pipelines, datasets, data models, integrations, and secure production code. Partners with stakeholders to deliver analytics and AI-enabled applications, improves data quality and performance, promotes responsible AI-assisted engineering practices, and mentors developers and analysts.

Hands-on technical lead designing, building, and optimizing high-performance Linux compute platforms for low-latency electronic trading. Responsibilities include kernel- and hardware-level performance tuning, containerization, IaC and CI/CD design, automation and tooling development, vendor interfacing, AI-assisted engineering governance, and mentoring cross-functional engineering teams to deliver reliable, low-latency infrastructure.