Top Lead Software Engineer Jobs in NYC, NY

Lead the technical direction and architecture of the Foundations platform team, owning authentication, authorization, SSO, secrets management, tenancy, and core platform services. Design APIs, drive services through launch, make technical decisions, establish engineering standards, and mentor engineers without formal management authority. Partner with engineering and product leaders to align execution with priorities.

Leads the end-to-end development of an AI-enabled revenue cycle management platform, spanning frontend, backend services, APIs, event-driven workflows, data models, and AI agent orchestration. Partners with users, product, operations, and business leaders to deliver measurable outcomes. Sets technical direction, mentors engineers, promotes AI-assisted development, and ensures secure, reliable, HIPAA-compliant software through strong testing and monitoring.

Lead enterprise software architecture and full-stack development across operations, supply chain, finance, commercial, and digital functions. Design scalable cloud-native platforms, API-first and event-driven integrations, and resilient enterprise systems using AWS and modern engineering practices. Advise on technology strategy, improve software quality and operational excellence, and mentor engineers. Partner with business and technical leaders to deliver supply chain, procurement, CRM, ERP, and e-commerce capabilities at scale.

Leads design, development, testing, troubleshooting, and operational stability for real-time, mission-critical Python systems. Drives AI-assisted engineering practices, cloud-native delivery, automation, resiliency, security, and performance optimization. Evaluates architecture and technology with vendors and internal teams, leads software engineering communities of practice, and coaches engineers on responsible, secure, and compliant use of AI tools and large language models.

Lead a hands-on software engineering effort for Zeta’s real-time events pipeline. Design, build, deploy, and operate high-volume event ingestion, processing, and delivery systems. Own architecture, reliability, observability, performance, cost, data quality, and on-call improvements. Collaborate with Product, Data, and downstream platform teams, define stable interfaces and SLAs, evaluate technologies, lead production launches, and mentor engineers through design and code reviews.

Lead software development for finance technology applications and risk models supporting investment banking and capital markets lending. Design and build scalable, real-time, data-intensive full-stack systems across the deal lifecycle. Develop APIs, integrations, analytics, and enterprise applications using Java and Python; collaborate with product, QA, business stakeholders, and vendors. Apply agile, DevOps, TDD, and BDD practices, while providing production and user support for live systems.

Lead design and delivery of a web channel framework using React/TypeScript. Drive engineering standards, testing (unit to end-to-end), CI/CD, performance optimization, RESTful services, and cross-functional agile collaboration to build a scalable SPA platform.

Lead development of scalable, secure Java/AWS solutions. Design, implement, and optimize applications and cloud infrastructure, drive DevOps and IaC practices, lead production incident response and root-cause analysis, adopt AI-assisted engineering tools responsibly, and evaluate emerging technologies and vendors.

Lead a team to design and deliver cloud-based, full‑stack microservices solutions; mentor engineers, collaborate with product managers, adopt emerging tech, and ensure regulatory-compliant software delivery at scale.

Lead development and architecture of highly scalable Java services supporting NinjaOne’s third-party patching catalog. Design high-availability systems, solve complex scalability and system-design challenges, improve quality and performance, collaborate cross-functionally, mentor engineers, and own technical initiatives. The role requires expertise in Java, RESTful APIs, Spring, relational databases, caching, asynchronous application design, and large-scale cloud systems.

Lead an agile team to design, build, and operate low-latency, high-availability Python applications for Rates trading desks, owning architecture across data ingestion, calculation services, UI, and operational tooling. Partner with traders, drive technical decisions, improve CI/CD and observability, mentor engineers, and ensure production correctness, performance, and resiliency under tight timelines and high business impact.

Lead and contribute to design, develop, and maintain scalable Java/Spring Boot services on AWS. Drive adoption of enterprise-authorized AI-assisted engineering practices, ensure operational stability and monitoring (Prometheus/Grafana), troubleshoot complex issues, participate in architecture and code review, automate remediation, and mentor/lead software engineers.

Lead design, build, and operate scalable, resilient cloud-native Java microservices. Produce high-quality secure code, drive CI/CD and automation, manage Kubernetes deployments on AWS, champion AI-assisted engineering practices, evaluate vendors, and improve operational stability and team standards.

Lead middleware-focused engineering efforts: design, develop, test, and maintain cloud-native production services. Drive adoption of CI/CD, automation, enterprise AI-assisted engineering practices, vendor evaluations, and operational stability for mission-critical financial systems.

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 backend engineering for cloud-native, multi-cloud fintech products. Design scalable, reliable, and secure systems using domain modeling. Build testable, operable code, resolve production incidents, optimize performance and data access, and enable zero-downtime releases. Mentor teammates, drive technical direction, and continuously modernize technologies and patterns.

Lead technical design and deliver secure, scalable C#/.NET software for trading systems. Drive architecture, coding, code review, automation, resiliency, CI/CD, and adoption of AI-assisted engineering practices while mentoring teams and engaging vendors.

Lead an agile engineering team to design, build, and operate secure, scalable software. Provide technical direction, write and review production code, champion enterprise AI-assisted development practices, drive SDLC improvements, and manage cloud-native deployments and monitoring across AWS and data platforms.

Lead design and deliver production-grade trading systems using Python and Java, build AI-native platforms, champion AI-assisted engineering practices, partner with Credit Sales & Trading, support production stability, and drive adoption of secure, automated SDLC and cloud-native solutions.

Design and implement real-time electronic trade reporting systems for North America and other regions. Lead business communication, development, testing, messaging middleware management, SDLC improvements, TDD, code reviews, and DevOps practices. Drive global modernization for observability and AI integration, support production IT environments, and provide training as the development team expands.

Leads architecture, design, and hands-on development for scalable backend APIs and interoperability services. Sets engineering standards, drives cross-team technical initiatives, mentors engineers, reviews code and designs, manages technical risks, and partners with engineering leadership on roadmaps. The role focuses on distributed systems, authentication, cloud SaaS, API integrations, and standards such as FHIR, while contributing production code and fostering collaboration.

Lead and mentor a team building scalable, resilient cloud-native fraud and disputes systems. Design and implement distributed microservices and full-stack solutions, collaborate with product and business stakeholders, contribute code, adopt modern cloud, container, database, and AI-assisted development tools, and ensure regulatory-aligned delivery.

Lead design and delivery of iOS client solutions, collaborate with product, UX, QA and backend teams, participate in Agile ceremonies, mentor junior engineers, review code and enforce Swift best practices, own major components and platform needs, advocate mobile platform and improve cross-team processes.

Lead design and delivery of Android client features, collaborate with cross-functional teams, mentor engineers, drive mobile best practices, review code, and own major platform components while promoting continuous learning and quality.

Lead development of Python-based quant research and portfolio construction platforms: design, build, test, and operate production-quality code; partner with Quant Research on models, validation, reusable libraries, and AI-assisted engineering practices to improve delivery, security, and resiliency.