Top Engineering Jobs

Build developer tooling and agent workflows that help engineers safely modify large monorepos. Develop CLIs, desktop integrations, agentic loops, observability interfaces, guardrails, tests, and automation. Lead framework upgrades, language migrations, dependency updates, and large refactors while improving developer workflow, codebase health, adoption, and engineering productivity. Set technical direction and mentor engineers on agent design and tooling.

Design, scale, monitor, and optimize production PostgreSQL databases supporting Huntress’s security platform. Responsibilities include configuration tuning, capacity planning, observability, indexing, partitioning, replication, failover, backup and recovery, Azure optimization, and advising application teams on database design. The role requires deep expertise managing large, high-transaction PostgreSQL clusters in 24/7 environments, with bonus experience in NoSQL systems and infrastructure as code.

Owns AWS infrastructure, Kubernetes clusters, Terraform modules, networking, access controls, secrets management, deployment pipelines, reliability, performance, and incident response for a security-sensitive defense technology organization.

Build and ship custom full-stack programs for AI labs and product teams, including capture flows, task logic, data pipelines, validation, redaction, provenance, and delivery across web, mobile, and backend systems. Partner directly with technical customers to scope ambiguous requirements, determine what to reuse or build, ship production code, establish data quality processes, and turn repeatable custom solutions into core platform capabilities.

Own and improve the systems connecting CRM, CPQ, billing, finance, marketing automation, and data warehousing. Build integrations, automation, AI-powered workflows, data models, validation, reconciliation, monitoring, and audit trails supporting quote-to-cash, billing, revenue reporting, and forecasting. Partner with Sales, Deal Desk, Billing Operations, Revenue Accounting, and Data Engineering while maintaining strong release, testing, security, documentation, and change-management practices.

Build and maintain automated data quality testing for customer data pipelines. Responsibilities include developing dbt, Soda, and SQL checks; validating schemas, loads, sequencing, and downstream reconciliations; detecting anomalies; managing severity levels and customer overrides; reporting quality metrics; and partnering with engineering teams to embed testing into new pipelines. The role requires strong backend testing, SQL, Python, Airflow, and Databricks experience, along with excellent debugging and communication skills.

Leads the mechanical engineering organization developing ruggedized avionics, aircraft-integrated hardware, optical assemblies, sensors, and human-worn aerospace systems. Oversees the full product lifecycle from requirements and architecture through design, prototyping, testing, qualification, and production. Establishes engineering processes, manages teams, drives manufacturability and supplier readiness, supports technical reviews and proposals, and ensures compliance with aerospace environmental, airworthiness, performance, and production requirements.

Build and optimize growth systems that increase patient bookings and engagement. Design experiments across messaging, outreach, and in-product booking flows; develop backend systems for experimentation and activation; monitor funnel metrics; analyze drop-offs; prioritize growth opportunities; and collaborate with product, design, data, and operations teams. The role emphasizes rapid experimentation, product-led growth, and measurable improvements in activation, conversion, retention, and booking.

Build scalable backend APIs, real-time telemetry pipelines, and responsive React interfaces for autonomous vehicle mission control. Integrate C++ and Python services with ROS2 systems, databases, WebSockets, REST APIs, and message queues. Develop secure access controls, optimize performance, support distributed fleet integrations, and automate testing, monitoring, and deployment. Collaborate with autonomy engineers to connect vehicle control systems and sensor data across air, sea, land, and space platforms.

Lead a hands-on engineering team building full-stack features for an AI-native legal platform. Responsibilities include coding, architecture, technical decision-making, code review, mentoring, DevOps, performance and security, and collaboration with Product and Design. The role requires ownership of complex systems, technical direction, and team health in a fast-paced, five-day in-office New York City environment.