Top Tech Jobs & Startup Jobs in NYC, NY

Build and lead full-stack software engineering projects using distributed microservices, cloud platforms, databases, APIs, containers, and modern programming languages. Provide technical leadership across Agile teams, establish engineering standards, mentor developers, partner with architects and product managers, improve system performance, reduce technical debt, and influence long-term technology strategy. The role emphasizes AWS and other cloud technologies, open-source frameworks, CI/CD, infrastructure as code, automated testing, observability, and AI-assisted development.

Designs, develops, deploys, and supports large-scale AI systems, including foundation models, LLM inference, agentic workflows, similarity search, guardrails, and model evaluation. Defines enterprise AI architecture, optimizes model performance, cost, latency, and throughput, establishes AI safety and governance standards, leads multi-year platform initiatives, and mentors senior technical leaders across engineering and research.

Lead engineering teams and technology portfolios while designing and implementing large-scale, distributed, cloud-native systems. Build full-stack solutions using modern programming languages, microservices, databases, containers, and cloud platforms. Provide technical leadership on architecture, platform roadmaps, reliability, observability, coding standards, and enterprise technology strategy. Mentor engineers, collaborate with product and architecture leaders, and drive cross-functional technical initiatives supporting regulatory and customer needs.

Build and lead full-stack software engineering initiatives using distributed microservices, cloud platforms, databases, APIs, and modern programming languages. Provide technical leadership across Agile teams, establish engineering standards, mentor developers, partner with product managers and architects, improve system performance, reduce technical debt, and influence long-term technology strategy.

Advises sales, trading, treasury derivatives, and operations teams on CFTC, NFA, and futures exchange requirements. Supports the Swap Dealer Compliance program through risk assessments, root cause analysis, control reviews, policy maintenance, reporting, compliance testing, surveillance coordination, training, audits, regulatory inquiries, and remediation of control gaps. Partners with legal, business leaders, regulators, and industry groups to interpret and implement new requirements.

Leads a 50+ person organization across data engineering, ML, GenAI, and security products. Owns multi-year strategy, architecture, technical roadmaps, hiring, and delivery standards. Designs low-latency identity decisioning and threat-detection systems, robust ML infrastructure, streaming pipelines, MLOps practices, AI security capabilities, and automated governance. Partners with executive and security leadership to address regulatory priorities, emerging cyber risks, and protection of human, workload, and AI-agent identities.

Build enterprise Generative AI solutions for Commercial Banking using multi-agent systems, advanced RAG, context engineering, tool-calling frameworks, and machine learning. Partner with data scientists, ML engineers, and product managers to develop, evaluate, validate, fine-tune, and deploy AI pipelines over large numeric and textual datasets. Translate complex technical work into business outcomes while researching emerging AI methods.

Manage monitored-employee populations for Broker-Dealer and Swap Dealer businesses. Responsibilities include onboarding and offboarding workflows, surveillance-system provisioning, roster reconciliation, data integrity checks, stakeholder coordination, process automation, and escalation of compliance risks. The role requires analyzing large datasets, resolving discrepancies, maintaining regulatory coverage, and improving high-volume operational processes using spreadsheet and data-management tools.

Leads strategy and delivery for business customer data products spanning business identity, relationships, and risk attributes. Drives product innovation, customer-centered solutions, technology enablement, enterprise data platform scaling, governance, and AI/ML enablement. Partners with cross-functional teams to translate business needs into digital products, resolve complex problems, mitigate risks, and align stakeholders across multiple business lines.

Leads product management for Capital One’s cloud runtimes and operations platform. Defines strategy for cloud infrastructure automation, connectivity, observability, managed infrastructure, developer experience integrations, and cloud resource topology. Drives customer-centered product solutions, business outcomes, technical innovation, integrated problem solving, and cross-functional organizational alignment. Partners with engineering stakeholders to build an intelligent platform that provisions, secures, scales, and maintains cloud resources across the enterprise.