Top Hybrid Software Engineer Jobs

Lead architecture and implementation of complex Salesforce solutions with emphasis on CPQ, Sales Cloud, Experience Cloud, integrations, automation (declarative and Apex), reporting, and technical leadership for development teams and stakeholders.

Lead and grow multiple engineering teams to build a video-agent platform and flagship end-user applications. Own API/SDK product surfaces, delivery, reliability, observability, and production readiness while partnering with Product, Design, and Modeling teams. Hire, coach, and set technical direction to ship high-quality, fast-iterating products.

The Senior Software Engineer will design, implement, and maintain the full-stack web application, Portal, while mentoring junior engineers and ensuring production stability.

Lead a team of engineers to develop AI-driven healthcare solutions, ensure software quality, collaborate with stakeholders, and improve patient care outcomes.

The AI Automation Engineer will develop scalable automation and integration solutions across various SaaS platforms, focusing on AI workflows, security, and data integrity.

Develop and maintain secure, scalable cloud services and APIs that interface with an embedded platform. Design infrastructure, implement backend systems, fix bugs, write automated tests, and apply secure distributed-systems practices while collaborating with engineering and product teams.

Design, develop, and maintain backend systems for crypto wallets using Golang, ensuring security and performance. Collaborate with teams and drive product improvements.

The Senior Backend Engineer will design, develop, and maintain blockchain-based crypto wallet systems, ensuring security and performance while collaborating with various teams and driving product advancements.

Design, develop, and maintain secure blockchain and crypto wallet systems. Collaborate across teams to optimize product configurations and drive product advancements while ensuring security standards.

This role involves developing and maintaining ML platforms for model experimentation and deployment, improving systems, and ensuring quality and observability for ML-driven products.

Lead integration architecture and delivery for Professional Services: define standards, design scalable integrations between SaaS and ERPs, mentor integration and QA teams, oversee build/test/go-live, support pre-sales scoping, and collaborate with Product and Engineering to improve repeatable integration frameworks.

Lead the design and implementation of scalable ecommerce platforms for global brands using SAP Commerce Cloud (Hybris), mentoring junior developers and collaborating with cross-functional teams.