Top Software Engineer Jobs

Design, build, and ship resident-facing web and mobile products across the stack. Integrate with agency data sources and legacy systems, collaborate with product, design, policy, and legal teams, lead engineering practices, ensure accessibility/security/operational readiness, write documentation and runbooks, contribute reusable components, and mentor teammates.

The React Native Developer will create and maintain mobile applications for iOS and Android, optimizing performance and collaborating with cross-functional teams.

Lead consolidation and refactor of a legacy payments stack; build and maintain integrations across banking, debit cards, Stripe, SAP, payroll and billing; own orchestration, tracking, and reconciliation; ensure regulatory compliance; work directly with customers and product to iterate and ship reliable money-movement systems.

Build and iterate product features that drive product-led growth: optimize invite flows, conversion funnels, dashboards, team formation, and enterprise readiness (SSO/admin controls). Ship experiments, instrument metrics, and work cross-functionally with GTM and business teams to increase invites, conversions, and monetization.

The role involves driving geospatial technology leadership, leading proof-of-concept projects, conducting technology assessments, and facilitating partnerships in the geomatics field.

Lead enterprise application architecture and modernization using C#/.NET, Angular, and Azure. Design real-time, event-driven, API-first integrations, establish CI/CD with Azure DevOps, guide scalable secure solutions within SAFe 6.0, mentor teams, and integrate with SaaS platforms like Salesforce.

Lead enterprise application architecture and modernize platforms using C#/.NET, Angular, and Azure. Design real-time, event-driven, and API-based integrations, establish CI/CD with Azure DevOps, provide hands-on architectural leadership in SAFe 6.0 environments, ensure scalability, security, and mentor engineering teams.

Lead design and build of core infrastructure for enterprise ML: model evaluation/deployment, inference/serving, data storage/retrieval, and production deployment of large-scale reasoning agents. Work with enterprise customers, integrate on-prem systems, and mentor scientists to adopt strong engineering practices and reliability-focused ownership.

Lead the modernization of an Assessment platform: architect and implement web and mobile solutions, enforce engineering standards, build CI/CD and DevSecOps practices, ensure scalability, reliability, and security, mentor engineers, and collaborate with product, security, and operations to deliver production-ready B2B and B2C platforms.

Own end-to-end deployments of Squint’s industrial intelligence platform: write production integrations, custom workflows and data pipelines, embed on factory floors and field sites, troubleshoot legacy systems and spotty connectivity, gather field feedback to shape product, and prove value to frontline users and executives.