Top Lead Software Engineer Jobs in NYC, NY

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 maintain low-latency options algorithmic trading systems. Develop secure, high-quality production code, optimize performance, integrate market data and FIX protocols, apply AI-assisted engineering practices, mentor engineers, and collaborate with product to translate strategies into scalable algorithms while ensuring operational stability and observability.

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 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 engineering of secure, scalable blockchain and cloud-native services. Design, develop, review, and troubleshoot production code; improve operational stability and automation; guide architecture evaluations and vendor integrations. Drive adoption and governance of AI-assisted engineering practices and coach teams on secure, compliant usage.

Lead design and delivery of scalable, secure AWS-based platform solutions. Develop and maintain production code and automation, champion AI-assisted engineering practices, produce architecture documentation, analyze large datasets for resiliency and performance, implement CI/CD and observability, and mentor junior engineers.

Lead and deliver secure, high-quality Java/Spring Boot solutions across the SDLC. Drive AI-assisted engineering adoption, improve automation and operational stability, evaluate vendor architectures, coach teams on secure/responsible AI use, and support cloud-native, observability, and event-driven designs within financial services.

Lead technical contributor on an agile team building secure, scalable consumer card technology. Designs, develops, debugs, and automates production code and APIs; drives architecture, automation/CI-CD, cloud-native practices (AWS/GCP), vendor evaluations, and adoption of AI-assisted engineering to improve code quality and operational stability.

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 delivery of secure, scalable Java-based microservices on AWS. Guide and coach engineers, drive adoption of AI-assisted development practices, ensure code quality, and influence architecture and operational standards.

Lead an agile engineering team to design, build, and deliver secure, scalable backend systems. Provide technical guidance, develop and review production code, design low-latency Kafka data pipelines, architect microservices and APIs, provision AWS infrastructure using Terraform, and advocate firmwide engineering best practices.

Lead hands-on design, development, and support of real-time Fixed Income trading systems. Drive modernization, build trading tools, integrate messaging hubs, analyze legacy systems, deliver proofs-of-concept, define KPIs, and collaborate with trading, risk, and P&L stakeholders to ensure scalable, stable solutions.

Lead backend engineering for cloud-native, JVM-based services. Design scalable, reliable, secure systems; apply domain modeling; ensure zero-downtime releases; optimize data access and performance; troubleshoot and prevent issues; mentor teammates and evolve platform technology.

Lead technical design and development of Salesforce solutions, write and review secure production code, drive operational stability and automation, evaluate vendor and architectural choices, champion AI-assisted engineering practices, and mentor engineering communities to adopt secure, resilient, and reusable patterns.

Lead backend engineer responsible for designing, building, and operating cloud-native, microservices-based systems; ensuring scalable, secure, high-availability data processing; leading team adoption of enterprise AI-assisted development practices; driving testing, release reliability, and continuous technology improvements.

Lead an agile team to design, build, and deliver secure, scalable web and backend systems. Develop production-quality code, architect microservices (Java/Python/Spring Boot), implement cloud-native and data processing solutions, improve operational stability, mentor engineers, evaluate vendors, and promote engineering best practices and new technologies.

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 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 design, develop, and troubleshoot secure, scalable software solutions; produce architecture artifacts; analyze large datasets for improvements; champion AI-assisted engineering practices; ensure CI/CD, resiliency, and security; coach and promote engineering best practices.

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.

Lead backend engineer who designs, develops, and troubleshoots Java/Spring Boot microservices and REST APIs; defines cloud infrastructure with Terraform on AWS; containers with Docker/Kubernetes; manages Postgres, Cassandra, MongoDB, Redis; implements Kafka/RabbitMQ streaming; drives DevOps/SRE (Jenkins, Splunk, Grafana); adopts enterprise AI-assisted development tools; evaluates vendor architectures and improves operational stability.

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 Software Engineer responsible for architecting, developing, and maintaining scalable, resilient full-stack products. Drive adoption of AI-assisted engineering, ensure secure high-quality production code, automate remediation and CI/CD, evaluate vendor architectures, mentor teams on responsible AI and secure practices, and promote reuse of effective patterns across engineering.

Lead and mentor an agile engineering team to design, build, test, and operate secure, scalable Java-based microservices on AWS. Drive technical decisions, code quality, CI/CD practices, and adoption of enterprise AI-assisted development tools while ensuring resilient, secure production delivery.

Lead architecture and development of scalable, resilient Personal Financial Management products. Write, review, and debug secure production code; drive AI-assisted engineering adoption and validation; improve automation and operational stability; evaluate vendors; lead communities of practice; coach teams on cloud-native, resiliency, and security best practices.