Top Tech Jobs & Startup Jobs

Lead and deliver large, production-grade software features across backend, frontend, and ML infrastructure. Mentor engineers, drive technical decisions, collaborate with product and design, and ensure scalable, well-tested systems that serve public safety customers.

Lead and evolve Peregrine's brand identity and campaigns, manage and mentor a creative team, partner with product and marketing to translate complex AI/data concepts into human-centered storytelling, and oversee visual, motion, digital, and environmental design across multi-channel initiatives.

Build and operate a centralized enablement system that maps personas to use cases and workflows, create templates, playbooks, demo scripts and training, deliver ongoing training and on-demand resources, partner with Product, Solutions Engineering, and Sales, incorporate field feedback, and measure adoption and impact.

Lead development of generative AI features and agents, scale platform to ingest and query terabytes of data in real time, optimize search and notifications, ship production-grade software across full stack, and collaborate with deployment teams and users to iterate on safe, impactful AI-driven user experiences.

Design, build, and operate petabyte-scale data infrastructure: real-time ingestion, storage (open table formats), and serving. Lead performance, reliability, and cost optimization across Spark and streaming pipelines (Kafka/Flink), define data contracts, and establish best practices and tooling. Collaborate with platform, product, and deployment teams to deliver production-grade data systems on AWS GovCloud, Kubernetes, and Airflow.

Lead product deployments for public-sector customers, identify high-impact workflows, design data models and pipelines, write code to integrate data, build executive relationships, and deliver mission-critical solutions with speed and quality.

Design, build, and operate petabyte-scale data infrastructure: real-time ingestion, storage (open table formats), and serving. Architect scalable Iceberg-based data lakes, optimize Spark pipelines and streaming (Kafka/Flink), drive reliability, cost efficiency, and data contracts; collaborate with product and platform teams and establish best practices and tooling.

Design, build, and operate high-throughput real-time data integration and storage systems. Architect open table format layers at petabyte scale, build and optimize Spark-based batch and streaming pipelines, manage stream processing (Kafka/Flink), orchestrate pipelines (Airflow), and ensure performance, reliability, and cost efficiency across the data stack. Collaborate with platform and product teams and own end-to-end data infrastructure.

Lead platform strategy and execution: define scalable, reliable platform architecture; enable product teams to ship faster; ensure observability and production readiness; build engineering culture and operating models; drive reliability, developer velocity, and operational excellence at scale.

Design and build core data governance and access-control systems for a multi-tenant data platform. Implement fine-grained permissions, auditability, policy enforcement, metadata management, data labeling, and compliance. Collaborate with product, architect scalable secure systems, drive projects end-to-end, and mentor senior engineers to elevate engineering and security practices.