Top Tech Jobs & Startup Jobs in NYC, NY

Senior Site Reliability Engineer responsible for improving reliability and performance of wwt.com. Build monitoring/alerting, lead incident response and root cause analysis, automate operational tasks, run load testing, review penetration test results, mentor engineers, and collaborate with developers to ensure scalable, resilient systems.

Lead AI product vision and roadmap to deploy enterprise copilots, workflow agents, and automation. Identify and prioritize use cases, run POCs, scale solutions, measure adoption and ROI, ensure governance and security, and drive cross-functional delivery with PMO, engineering, and business stakeholders.

Define and own product vision, strategy, and roadmap for Federal/Public Sector teams in a CMMC Level 2 environment. Translate stakeholder needs into prioritized backlog items, perform gap analyses and user story mapping, manage budgets, drive governance, and partner with Security & Compliance and delivery teams to maximize value, adoption, and operational efficiency.

Customer-facing technical architect role designing, sizing, and delivering high-performance AI storage and data platform solutions. Lead partner solution development, pre-sales engagements, reference architectures, enablement, and field support for enterprise and hyperscale AI workloads. Work spans parallel file systems, object/NAS storage, NVMe-oF and GPU-Direct Storage, data pipelines, lakehouse architectures, and NVIDIA AI Platform integrations.

Manage multiple public-sector IT infrastructure projects end-to-end, ensuring on-time, on-budget delivery. Lead stakeholders, vendors, and internal teams; build schedules, manage risks, finances, QA, and client communications for networking, wireless, and unified communications engagements.

Lead end-to-end enterprise AI adoption engagements: assess readiness, prioritize use cases, design adoption roadmaps and governance, run enablement and champion programs, measure value and ROI, set responsible-AI guardrails, and scale repeatable playbooks while advising executives and coaching teams.

Lead development and commercialization of Cloud Data solutions: design cloud data architectures, lead migrations and ETL/ELT, operationalize AI across clouds, support strategic sales pursuits, enable and train solution architects, secure partner co-investment, and provide steering‑committee oversight to mitigate delivery risk and drive practice growth.