Top Lead Software Engineer Jobs in NYC, NY

Lead a team and portfolio to design and deliver cloud-based, full‑stack microservices solutions meeting regulatory needs. Mentor engineers, collaborate with product, adopt emerging technologies, and use cloud, container, database, and AI tooling to build scalable solutions.

Lead a global software engineering team building and operating scalable, fault-tolerant electronic trading platforms. Own technical strategy, architecture, requirements, development, testing, production support, and delivery. Design event-driven systems using Java and Kafka, guide cloud-native modernization with Kubernetes, evaluate technologies, mentor engineers, and establish strong engineering practices. Partner closely with product, architecture, business, and executive stakeholders while applying AI-assisted development practices and maintaining a customer-focused product mindset.

Leads enterprise adoption of agentic AI-enabled engineering practices, establishing governance, security, auditability, and human oversight. Designs scalable software frameworks, writes secure production code, reviews and debugs systems, and shapes AI-enabled architecture across Consumer and Community Banking. Partners with product and engineering leaders on roadmaps, advises cross-functional teams, and drives automation across development, testing, releases, incident triage, and root-cause analysis.

Leads Android software engineering for JPMorganChase’s payment technology team. Responsibilities include designing, developing, testing, debugging, and maintaining secure, scalable mobile applications; reviewing code; improving operational stability; and guiding responsible AI-assisted engineering practices. The role requires Android development with Kotlin, Jetpack Compose, Coroutines, REST, JSON, RxJava, MVVM, MVI, and automated testing, along with technical leadership and collaboration across vendors and internal teams.

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.

Lead diverse software engineering projects and developer teams building full-stack, distributed microservices and cloud-based solutions. Develop regulatory and customer-focused systems using multiple programming languages, databases, container orchestration, and cloud platforms. Mentor engineers, collaborate with product managers, drive technology transformation, evaluate emerging tools, and promote engineering best practices, Agile delivery, and innovation.

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.

Lead technical design and delivery of high-performance, secure backend systems. Develop and review production code using TDD, mentor engineers, prototype AI-enabled workflows, ensure reliability, performance, and compliance across distributed services.

Leads software engineering projects and development teams building full-stack, cloud-based solutions for regulatory and customer needs. Designs distributed microservices and full-stack systems, collaborates with product managers, mentors engineers, evaluates emerging technologies, and uses languages including JavaScript, Java, TypeScript, SQL, Python, and Go alongside AWS, Docker, Kubernetes, RDBMS, and NoSQL databases.

Lead a team of software developers and a portfolio of technology projects focused on regulatory risk solutions. Build distributed microservices, full-stack systems, and cloud-based applications using modern programming languages, databases, containers, and AWS services. Mentor engineers, evaluate emerging technologies, collaborate with product managers, and deliver resilient solutions in an agile environment.

Lead development of scalable platform software supporting BlackRock’s Aladdin investment operating system. Responsibilities include building Java systems, CI/CD pipelines, container platforms, distributed services, data and messaging capabilities, and highly available applications. The role provides technical leadership, manages project priorities, applies test-driven and Agile practices, supports production operations, collaborates on roadmaps, and contributes to recruiting and team culture.

Designs, develops, and maintains full-stack services using Java, Spring Boot, TypeScript, and APIs. Builds microservices and reactive systems, deploys cloud-native applications on AWS, and manages infrastructure as code. Leads secure adoption of AI-assisted engineering practices, including validation, testing, troubleshooting, and code improvement. Applies 12-factor principles, implements CI/CD and observability tooling, and executes performance and load testing. Preferred work includes multi-agent environments, Agent2UI, A2A protocols, and LLMs.

Lead development of resilient full-stack systems and backend microservices for real-time fraud detection and customer protection. Architect and maintain cloud-based solutions, guide diverse technology projects and engineering teams, collaborate with product managers, address regulatory needs, mentor engineers, and evaluate emerging technologies. The role uses Java, Go, Python, JavaScript, TypeScript, SQL, databases, Docker, Kubernetes, and cloud services including AWS.

Lead software engineering for secure, scalable, production-grade applications in an agile enterprise environment. Design complex solutions and architecture, develop Java microservices and REST APIs, improve reliability through automated testing and CI/CD, analyze system data, and build reusable components. Guide responsible adoption of AI-assisted engineering tools, coach team members on secure validation practices, troubleshoot complex issues, and deliver high-throughput distributed systems across cloud-native platforms.

Lead an agile engineering team to design, build, and operate high-scale, secure Java applications and internal developer platforms. Drive adoption of enterprise-authorized AI-assisted development tools, improve observability and reliability (SLOs, alerting), own on-call and incident response, and mentor peers on responsible AI usage and best engineering practices.

Leads design and development of real-time, mission-critical software using Java and Kafka. Provides technical leadership across system design, application development, testing, cloud-native delivery, resiliency, security, and performance optimization. Promotes AI-assisted engineering practices, validates AI outputs, evaluates architecture and vendors, and mentors teams through communities of practice. The role operates within an agile financial services technology environment.

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 hands-on software engineering for fixed-income trading systems spanning pre-trade, trade capture, pricing, real-time risk, and P&L. Designs scalable solutions, modernizes legacy platforms, supports testing and operations, and drives transformation initiatives. Collaborates with trading, risk, and P&L teams, leads pilots, develops metrics, and promotes responsible AI-assisted engineering practices, automation, governance, and secure software delivery across teams.

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.

Lead the design, development, and delivery of scalable payroll onboarding software. Drive technically complex initiatives, influence architecture and roadmaps, collaborate across product, design, and engineering, improve reliability, promote coding best practices, mentor engineers, and use AI tools to enhance development productivity.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Lead design and deliver full-stack, production-ready services across backend and frontend. Own API design, observability, resiliency, security, system design, SDLC/CI-CD, database tuning, and incident readiness. Integrate governed AI assistants to accelerate development and define measurable outcomes. Mentor engineers and drive architectural alignment and operational excellence.

Lead a regional Precious Metals and Agriculture front-office engineering team to design, build, and operate secure, scalable trading systems. Partner with trading, quant, sales, and middle office to deliver production-quality code, drive AI-assisted engineering adoption, enforce SDLC standards, mentor engineers, and collaborate across core technology and business teams.

Lead a team of developers to deliver cloud-based solutions, mentor fellow engineers, and manage diverse technology projects addressing regulatory needs.

Leads development of secure, scalable applications and services; owns complex cross-service problems, drives architecture and technical roadmaps, and improves deployment automation, observability, reliability, and maintainability. Performs code and technical reviews, incident analysis, performance and release testing, vulnerability scanning, and CI/CD orchestration. Provides technical guidance, coaches engineers, conducts interviews, supports promotions, and builds cross-organizational partnerships.