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The Staff Software Engineer will develop full-stack capabilities, focusing on AI-powered solutions for government agencies, ensuring features are built, shipped, and monitored effectively.

The Software Engineer III will build SaaS solutions for government agencies, leading feature delivery, collaborating across teams, and mentoring junior engineers.

The Staff Software Engineer will develop new product features across the platform, focusing on APIs, microservices, and AI-powered solutions for government agencies.

The Staff Software Engineer will develop new product capabilities across OpenGov's platform, focusing on full-stack development and AI-powered features, collaborating with teams to build and improve scalable software solutions for government agencies.

The Software Engineer III will develop SaaS solutions for government agencies, lead features, mentor junior engineers, and improve processes in a fast-paced environment.

Deliver new product capabilities for OpenGov's platform by building and improving APIs, microservices, and AI-powered features. Collaborate with cross-functional teams to define problems and solutions, own features end-to-end, and use AI-assisted development tools to enhance productivity.

Lead the development of OpenGov's data platform, integrate AI into workflows, and mentor engineers to enhance AI fluency in software practices.

Lead cross-product, platform-level initiatives to unify capabilities across the cloud ERP. Define platform services, align stakeholders, mentor PMs, translate strategy into roadmaps, and champion data-informed decisions to deliver scalable SaaS solutions for government customers.

As a Sr. Software Engineer at OpenGov, you will develop AI-driven SaaS solutions for government agencies, leading feature delivery and enhancements while collaborating across teams. You'll focus on scalable applications using modern technologies, mentor junior engineers, and contribute to continuous improvement in development processes.

Build and scale Snowflake-native AI execution layers and orchestrated agent workflows. Implement RAG, embedding pipelines, vector retrieval, context-routing, monitoring, and integrations with enterprise data using SQL, Python, and DBT. Ensure scalable, observable, and governed AI systems across the organization.