Top Tech Jobs & Startup Jobs in NYC, NY

Build and maintain the core gameplay recorder, including capture, encoding, hooks, and game integrations such as auto-clipping. Design scalable architecture, establish guardrails and best practices, improve maintainability, and enable safe contributions across teams. Collaborate closely with engineers, share knowledge, pair with teammates, and optimize performance-driven features. The role is hands-on and requires working onsite in New York City five days per week.

Build and operate security detection and response capabilities across infrastructure. Responsibilities include developing SIEM alerts and integrations, administering detection tools, participating in security on-call rotations, automating triage workflows, supporting incident investigation and containment, and improving response playbooks. The role also focuses on detecting AI-related risks, increasing visibility into AI tool usage, reviewing telemetry needs for new systems, and collaborating with engineering and governance teams.

Build and lead production-grade agentic AI systems for enterprise clients across AWS, OCI, and Azure. Own full-stack development, cloud deployment, CI/CD, LLM integrations, agent orchestration, memory and retrieval architectures, APIs, identity, security, and operational documentation. Engage directly with stakeholders, translate requirements into scalable systems, advise on model and cloud strategy, and help productize the company’s delivery approach.

Creates and delivers cultural programming and experiential marketing initiatives across Sotheby’s New York locations. Manages event concepts, schedules, budgets, staffing, technical production, suppliers, guests, and on-site execution. Coordinates with marketing, events, fine art, luxury, security, and facilities teams while maintaining production documentation, standard operating procedures, and performance reporting. Supports exhibitions, private events, audience engagement, consigner pitches, and cross-departmental programming initiatives.

Build and scale Traba’s AI-powered staffing marketplace by integrating LLMs and existing agents into products that automate worker vetting, matching, and fulfillment. Lead full-stack frontend and backend development, architect distributed systems and APIs, own product surfaces end to end, and mentor engineers. Partner with product, design, and the CTO on architecture and roadmap in a fast-moving startup environment.

Own Canary’s self-check-in kiosk from specification through deployment, including hardware design reviews, consultant and factory management, payment-terminal integration, PCI certification, fulfillment, staging, installation logistics, spare parts, and returns. The role performs hands-on hardware review work initially, travels to factories and hotel properties, and builds the hardware team as the function grows.

Lead the architecture, security, and operation of Maestro’s multi-tenant AI platform on private GKE. Build Kubernetes operators, isolated per-user runtimes, identity and credential systems, service-mesh security, Terraform infrastructure, CI/CD, observability, audit pipelines, fleet operations, and human approval guardrails. Partner on safe agent integrations, establish platform and security standards, mentor engineers, and guide infrastructure strategy as the system scales.

Own the architecture, operation, and reliability of Helios’s distributed execution platform. Build and optimize queues, schedulers, autoscaling, storage, search, long-running agent workflows, and cross-cloud pipelines. Manage GovCloud and air-gapped deployments, CI/CD, compliance, observability, tenant isolation, and infrastructure for sensitive customer environments. The role requires strong expertise in distributed systems, resource-aware scheduling, concurrency controls, performance optimization, and mission-critical reliability.

Own product and application security for an AI assistant handling sensitive data and autonomous actions across email, calendars, documents, Slack, and CRM systems. Responsibilities include threat modeling agent behavior, securing data pipelines and cloud infrastructure, hardening OAuth integrations, implementing encryption and access controls, establishing a secure development lifecycle, and leading incident response. The role partners closely with engineering and requires in-person work five days per week in San Francisco.

Protects enterprise data across cloud and on-premises environments by designing and operating DLP, classification, encryption, rights management, and AI data leakage controls. Investigates incidents, monitors SIEM/CASB/DLP alerts, supports insider-threat response, conducts risk assessments, maintains audit evidence, and contributes to AI governance. Develops PowerShell, Python, and KQL automation while integrating controls into CI/CD, SaaS onboarding, and identity workflows.