Top Senior Level Fintech DevOps & Platform Engineering Jobs in New York City, NY

As a Senior Platform Infrastructure Engineer, you'll enhance Spade's core platform infrastructure, focusing on scalability, reliability, and collaborative development practices.

Lead platform architecture, reliability, and developer experience for a Kubernetes-based infrastructure. Design scalable, secure solutions, define SLOs and capacity planning, improve observability and tooling, and enable product engineers with self-serve platforms to support 10x customer growth.

Founding GTM Engineer to build AI-powered revenue systems and automations across Marketing, Sales, and CS. Own end-to-end implementation: design workflows, integrate HubSpot/Salesforce/Redshift/Clay, deploy LLM-based solutions, improve data quality, and drive measurable ARR/rep/day improvements.

Lead development and scaling of the StashWorks B2B fintech platform. Own product roadmap, deliver end-to-end features, instrument and test systems, deploy to cloud infrastructure, and leverage AI tools to accelerate development while ensuring security, reliability, and platform maturity.

The role involves analyzing business needs, leading IT strategy for cloud deployment, transforming business processes, and guiding teams on technical solutions.

The Infrastructure Engineer designs and implements secure, scalable infrastructures, focusing on Azure and Linux systems, providing operational support and mentoring junior engineers.

The role involves maintaining NonStop systems, leading software release planning, implementing security solutions, and providing Infrastructure support.

As a Senior Engineering Manager, you'll lead the SRE team's Developer Experience squad, managing a roadmap and mentoring engineers while enhancing development tools and workflows to improve productivity and system stability.

The Director, Cloud & Infra Engineer at Morgan Stanley develops and maintains Mainframe automation setups, supports existing tools, and collaborates to improve system performance.

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.