Top Hybrid Software Engineer Jobs

Lead Wagmo's technology strategy and execution to modernize architecture for AI-first capabilities, scale engineering, data, and product teams, own security and compliance (SOC 2), and apply generative AI and data-driven systems to improve internal operations and customer experiences.

The Senior Full Stack Engineer will build end-to-end solutions using React, TypeScript, and GoLang, lead project initiatives, and optimize systems across the tech stack.

Lead and grow the Frontend Platform team for Ambient AI products, focusing on performance, reliability, and cross-functional collaboration while ensuring high standards for technical execution.

As a Backend Engineer, you'll design and implement secure APIs, build cloud-native products, optimize databases, and collaborate on enterprise security integration.

Design and build services, APIs, frameworks, and UIs; lead development of user interfaces and features; collaborate with teams on core platforms; contribute to backend services and data models.

The Solutions Engineer will manage the technical onboarding of utility customers onto the Intelligent Grid Platform, designing data integration pipelines and collaborating with various teams to deliver solutions and improve processes.

Execute and validate data migrations into Salesforce from Snowflake/CSVs, transform and reconcile records, ensure referential integrity, troubleshoot issues, document procedures, and support post-migration data hygiene and compliance.

Build user-facing AI services by developing web applications, integrating APIs, and creating interactive workflows for financial data transformation. Collaborate with product managers and technical leadership to iterate on features, ensuring robust, secure software deployment and compliance with enterprise standards.

As a Protocol Engineer, you will design and develop secure smart contracts and blockchain protocols, collaborate with teams, and research new technologies for decentralized finance solutions.

Maintain and build basic intents, conversations, and integrations for conversational AI platforms. Support API/object integrations, initial AI model training, performance monitoring, unit testing, and defect troubleshooting, escalating issues to senior developers as needed.