Top Tech Jobs & Startup Jobs in NYC, NY

Design and scale lakehouse architecture, including Bronze, Silver, and Gold data layers. Build reliable streaming and batch pipelines with Kafka, Spark, and Airflow; manage Iceberg, Delta, and Hudi table formats; optimize Trino, Starburst, and Databricks queries; and improve platform reliability, data quality, and performance. Collaborate with data scientists, analysts, and product teams to deliver scalable data platform solutions.

Lead development of scalable Java software for endpoint management and IT operations. Design high-availability systems, influence architecture, solve complex scalability challenges, improve quality practices, collaborate cross-functionally, mentor engineers, and own technical initiatives supporting millions of endpoints and servers.

Own the vision, roadmap, prioritization, and delivery of NinjaOne’s core endpoint management capabilities, including automations, policies, agents, configurations, and dashboards. Collaborate with engineering, design, support, customers, and MSPs to define requirements, workflows, and product improvements. Use customer feedback and usage data to guide decisions, ensure platform cohesion, and deliver scalable solutions for IT teams managing endpoints.

Develop and architect scalable Java software for NinjaOne’s endpoint management platform. The role involves building high-availability services, leading technical initiatives, making architectural decisions, improving quality practices, collaborating cross-functionally, mentoring engineers, and addressing scalability, performance, and technical debt challenges.

Design and scale lakehouse architecture, streaming and batch pipelines, and reliable data platforms using Kafka, Spark, Airflow, Iceberg, Databricks, and related technologies. Build Medallion-layer data systems, manage open table formats, optimize distributed queries, monitor platform reliability, resolve data quality issues, and collaborate with analysts, data scientists, and product teams.

Develop and scale backend patch-management software using Java and Kotlin for millions of endpoints. Implement enterprise software, design scalable systems, build REST services, work with relational databases and caching systems, and uphold rigorous testing and quality standards. Collaborate with AI workflow, server, platform, design, and product teams. React or Angular experience may support occasional frontend work.

Build and maintain scalable ETL/ELT pipelines and data foundations using Databricks, dbt, and AWS. Transform raw structured and unstructured data into reliable datasets for product analytics and data science, including telemetry, streaming data, and feature engineering. Develop dashboards in Tableau and Databricks, optimize workflows, and collaborate with Product, Engineering, analytics, and data science stakeholders to support product health, adoption, and performance insights.

Develop scalable backend software for NinjaOne’s Mobile Device Management platform using Kotlin and Java. Design microservices, REST APIs, asynchronous systems, and client-server solutions supporting millions of endpoints. Deploy services on AWS and ECS, work with relational databases, messaging systems, caching, and DevOps tooling, and collaborate with Apple and Google on enterprise mobility solutions. The role also involves applying design patterns, maintaining high coding standards, and using AI-powered development tools.

Build scalable, data-intensive products from the ground up, focusing on Java/Kotlin backend services, REST or GraphQL APIs, data access, and React/TypeScript interfaces. Responsibilities include architecture, performance optimization, testing, observability, production troubleshooting, technical documentation, and end-to-end feature ownership. Collaborate with data, reporting, design, and product teams while using AI-assisted development tools to accelerate delivery.

Develop and maintain a cross-platform C++ endpoint agent that detects, installs, validates, and rolls back operating system and third-party software patches. Responsibilities include code review, mentoring engineers, improving development processes, collaborating across teams, and translating product needs into technical designs. The role requires system-level development across Windows, macOS, and Linux using modern C++, gRPC, Protocol Buffers, SQLite, and CMake.