Top Tech Jobs & Startup Jobs in NYC, NY

Design and prototype platform patterns, own domain-level architecture (cloud infra or data), enable engineering teams, run technology evaluations and POCs, expand standards/ADRs, and help shape multi-year platform and AI infrastructure strategy.

Build and own microservices for an Internal Developer Platform using TypeScript/Node.js. Maintain Backstage catalog and ingestion pipelines, extend developer-facing tooling, integrate LLM-powered services, ensure reliability on GKE with Datadog monitoring, and collaborate with cross-functional teams on catalog models and self-service platform features.

Own and operate GitOps deployment API/CLI and self-service deployment tooling. Extend TypeScript shared packages and Helm charts, build Go-based internal tools, design durable workflows (Temporal), and develop MCP/Agentic AI automation for infrastructure lifecycle and deployment orchestration.

Own strategy and roadmap for identity resolution engines that match visitors to people and companies. Drive data source integrations, improve match accuracy, resolve data quality issues, build monitoring, collaborate with engineering and data science, and enable GTM teams while ensuring privacy compliance (GDPR/CCPA). Measure impact via match rates, coverage, latency, and downstream revenue.

Own and evolve ZoomInfo’s CI/CD delivery tooling, GitOps deployment API and CLI, shared TypeScript monorepo, ingress layer, and Go automation platform. Lead technical strategy, architecture, migrations, golden paths, and multi-quarter roadmaps while remaining hands-on in Go and TypeScript. Apply agentic AI, MCP, A2A, and durable workflows to infrastructure automation. Mentor engineers, drive quality through design and code reviews, and align CI/CD, DevOps, and platform teams.

Leads the strategy, architecture, and execution of an enterprise data platform supporting analytics, machine learning, operational systems, and AI applications. Manages and mentors data platform engineers while remaining hands-on with architecture, reliability, technical direction, and troubleshooting. Oversees pipelines, orchestration, governance, security, observability, data contracts, migrations, and platform operations. Partners cross-functionally to translate business needs into scalable technical solutions and communicates decisions to technical and non-technical stakeholders.

Embed with strategic enterprise accounts to design and deliver bespoke intelligence applications combining ZoomInfo and customer data. Own engagements end-to-end: discovery, solution design, data foundation and management, entity resolution, TAM/white-space analysis, fit scoring, deployment, and governance. Bridge technical and business audiences, contribute to the FDE playbook, and drive expansion and product feedback.

Lead implementation of data streaming, processing, analytics, and monitoring infrastructure. Deploy and manage Kubernetes workloads (EKS/GKE), provision cloud infrastructure with Terraform, maintain CI/CD with Jenkins/ArgoCD/GitHub Actions, automate with Python, operate AWS/GCP data services, apply SRE practices, optimize costs, and collaborate across teams.

Design, implement, and operate scalable, fault-tolerant web crawling and extraction pipelines processing massive web data. Write production Java/Python code, build ETL/ELT pipelines (BigQuery/Snowflake), use Kafka, Kubernetes (GKE/EKS), Terraform, and Airflow, and improve observability, reliability, and collaboration with product and data science teams.

Lead global FinOps strategy across multi-cloud (GCP/AWS), build unit-economics and cost-allocation models, manage AI-related cloud costs, own forecasting and cloud budgeting, negotiate international vendor contracts, report Cloud TCO, and grow a FinOps team.