Top Vice President Of Engineering Jobs in NYC, NY

As VP of Engineering, you'll architect and oversee decentralized trading features, microservices, and DevOps while mentoring engineers and driving tech choices.

Leads reliability engineering and technology operations, overseeing production operations, Azure and Kubernetes platforms, observability, incident response, automation, resiliency, disaster recovery, vendors, and operational transformation. Establishes reliability practices, SLOs, error budgets, service ownership, and performance metrics while leading engineering-minded teams and partnering with business and technology stakeholders. Drives AI-enabled operations, platform resilience, continuous improvement, and executive incident management.

Lead engineering strategy and delivery for customer-facing web and mobile platforms; drive AI-native transformation, increase conversion and speed-to-fund, raise engineering talent and velocity, ensure secure and compliant architectures, partner with product and cross-functional teams to deliver measurable business outcomes.

Lead and grow the AI Platform team to deliver shared AI/ML services, infrastructure, and tooling. Define platform vision with the architect, enforce standards for reliability, security, and observability, and collaborate with cross-functional teams to enable secure, self‑service developer capabilities.

Lead design and implementation of trading workflows while collaborating with cross-functional teams, mentoring engineers, and driving AI-driven development in a financial software context.

Lead Java engineer role responsible for designing, implementing, and delivering cloud-native, event-driven data platforms and Java-based APIs. Drive end-to-end SDLC, mentor distributed engineering teams, enforce best practices, and collaborate with product and data specialists to build scalable, fault-tolerant systems using AWS, Kafka, Spring Boot, Kubernetes, and CI/CD.

Lead design, development, and optimization of low-latency, high-performance algorithmic trading microservices. Implement trading logic and execution strategies, collaborate with product and quant teams, conduct design reviews and code reviews, improve testing/CI/CD, and build monitoring, reconciliation, and recovery solutions while ensuring compliance and risk-aware decision making.

Lead and scale the EIQ engineering organization, set technical vision and architecture, partner with Product, hire and develop leaders and ICs, own CI/CD and cloud infrastructure (GCP/AWS), drive strategic roadmaps, and represent engineering in executive discussions while embedding LLM/agentic workflows.

Lead Licensing & Finance Engineering: set technical vision, drive delivery, mentor and grow a 25+ engineer team, improve Agile/DevSecOps practices, manage integrations (Salesforce, AWS, ERP), and oversee budgeting, hiring, and stakeholder collaboration.

The Senior Market Data Platform Engineer will design and implement a low-latency market data distribution platform, focusing on performance optimization, architectural decisions, and collaboration with global teams, particularly in Equities trading.

As VP of Engineering, you will lead the engineering organization, set strategy, manage technical deliveries, and enhance the API offerings while partnering with product and operational teams.

The VP of Engineering will lead the engineering team, develop strategies, manage infrastructure, and ensure delivery of software and services supporting the company's goals.

Lead a 50-engineer Infrastructure & Platform organization (Cloud, SRE, CI/CD, SDLC, Application Support). Own platform reliability (99.95% SLA), multi-cloud architecture, incident response, application support escalation, acquisition integrations, engineering productivity (including AI tooling), and executive stakeholder communication. Build leadership, hiring, and operational standards to scale a global SaaS platform.

Lead and modernize a high-volume, enterprise customer-communications platform. Own architecture, data pipelines, cloud-native design (AWS), streaming (Kafka), delivery, reliability, and global engineering talent development. Partner with product, security, and operations to drive multi-year transformation while ensuring performance, compliance, and operational excellence.

Lead WISEcode’s data platform and engineering teams to build AI-native, secure, observable data products. Replace single-gatekeeper deploys, enforce gold-by-code quality, implement medallion architecture, enable secure AI-friendly data access, and run automated agentic pipelines while managing data engineering ICs.

The VP of Software Engineering leads the engineering organization, driving software development, scaling teams, and ensuring compliance with standards while collaborating across functions to support product and customer success.

Lead Release Management, QA, and DevOps to build an automation-first quality engineering framework, enforce release gates, drive platform reliability and CI/CD, and embed AI-assisted coding and testing across engineering teams for a regulated fintech environment.

Lead Release Management, QA, and DevOps to build an automation-first quality engineering framework. Drive CI/CD, platform reliability, observability, and release gate processes across multi-platform (web and native) products. Coach QA toward automation, implement test data and environment standards, partner with product and support on release readiness and post-release remediation, and champion AI-assisted coding and testing adoption.

Lead and mentor a full-stack engineering team building cloud-native fundraising and private wealth systems. Design scalable backend services, data pipelines (dbt, Snowflake), APIs and integrations (Salesforce), drive CI/CD and IaC (GitLab, Terraform), adopt container/serverless architectures on AWS, and partner with product, data, security, and cloud teams to deliver reliable, analytics-ready platforms.

As VP of Engineering and AI Innovations, lead software development for AI products, enhance features, and manage product evolution in a team-first culture.

Lead and scale the product-facing engineering organization for consumer fintech products. Hire and grow teams, drive architecture and code quality, embed AI-native tooling and practices, and ship member-facing voice/chat/BankGPT experiences while remaining hands-on in technical reviews and architecture.

Lead and scale a global Customer Engineering and Value Engineering organization to drive AI-focused technical discovery, validated edge architectures, ROI modeling, and pre-sales qualification. Build operating rhythms, playbooks, and cross-functional partnerships to accelerate global deployments of GPU-accelerated, edge AI solutions while ensuring technical and commercial rigor across regions.