Top Tech Jobs & Startup Jobs in NYC, NY

Design, develop, and maintain scalable full-stack applications for intermediary clearing and custody platforms. Collaborate with product, architecture, and engineering teams to modernize applications, implement cloud migrations, build APIs, automate workflows, and improve CI/CD, observability, security, and deployment practices in an Agile environment.

Design, implement, and manage large-scale GCP infrastructure using IaC (Terraform), containerization (Kubernetes/Docker), monitoring, security, and DR. Mentor junior engineers, optimize performance and costs, and document practices.

Design, develop, and secure blockchain solutions including smart contracts and DApps. Collaborate with teams to integrate, optimize performance, audit security, document projects, and provide technical support and training.

Develop and maintain web applications across the full stack using Java/Spring Boot backend and Angular frontend. Build microservices, design RESTful APIs, integrate frontend components, work with Kafka and AWS S3 as needed, and collaborate with cross-functional teams to troubleshoot and deliver solutions throughout the SDLC.

Lead modernization of the Salesforce ecosystem by optimizing development practices, reducing technical debt, improving performance and integrations, implementing best practices and governance (focus on Service Cloud), driving version control adoption, and providing technical leadership and training to create scalable, cost-effective solutions.

Build and maintain scalable Python/FastAPI backend services, integrate generative AI and LLMs, implement RAG/vector DB semantic search, design agent-based workflows, develop APIs and microservices, enable async/event-driven processing, support cloud-native deployments (Docker/Kubernetes), and collaborate across frontend, DevOps, and product teams to deliver secure, observable AI-driven employee support platform.

Design, build, and scale production-ready generative AI systems: multi-agent workflows, advanced RAG pipelines, LLM integration and fine-tuning, scalable FastAPI backends, Dockerized deployments, monitoring, and GenAI optimization for latency, cost, and reliability.

Customer-facing Forward Deployed Engineer who architects, implements, and optimizes agentic AI proofs-of-concept and enterprise deployments. Leads solution design, agent orchestration, platform development, performance optimization, and cross‑functional delivery while mentoring distributed technical teams and ensuring production-ready MLOps, FinOps, and security/compliance practices.

Lead design and implementation of high-performance Apache Camel routes and microservices, apply enterprise integration patterns, migrate TIBCO processes to Camel, optimize Java/Camel performance to meet SLAs, implement secure MFT/encryption and protocol integrations (SFTP, AS2, JMS/Kafka, REST/SOAP), build containerized solutions (Docker/Kubernetes/OpenShift), enforce rigorous testing, and mentor the engineering team.

Benchmark and optimize latency and throughput for an agentic AI platform. Stress-test multi-agent concurrency, RAG/vector DB retrieval, token throughput, orchestration hand-offs, and integrate automated performance regression tests into CI/CD while balancing cost versus performance.