Top Hybrid Software Engineer Jobs

Provides technical leadership across Homebase’s core product domains, including Payroll, Scheduling, Time Tracking, and HR Management. Defines technical vision, API strategy, service architecture, and domain-driven system decomposition. Resolves cross-cutting scalability, reliability, performance, and data-consistency challenges; mentors senior engineers; drives engineering standards; partners with product, data, design, and leadership; and advances AI-enabled engineering workflows.

Build and maintain client-specific software, data pipelines, backend infrastructure, integrations, and prototypes for enterprise industrial environments. Architect scalable data systems, connect ERP, CMMS, BI, edge, camera, PLC, and hardware platforms, validate deployments, and ensure data integrity and reliability. Serve as the technical bridge between clients and core engineering teams, provide technical leadership in Boston, and feed deployment learnings into the product roadmap. Travel to client sites and Dublin periodically.

Own the end-to-end technical architecture for Salesforce CRM and CPQ, leading Quote-to-Cash and Lead-to-Cash transformation. Design integrations with billing, ERP, marketing, and analytics platforms; guide developers on Apex and LWC standards; conduct code reviews; evaluate custom development versus standard functionality; reduce technical debt; and partner with business stakeholders to simplify processes and improve revenue operations.

Own technical success for strategic partners by leading onboarding, workshops, enablement, production deployments, and scaled delivery. Build AI and agent-based solutions, integrations, connectors, prototypes, reference implementations, and reusable technical assets. Develop partner capabilities, support complex implementations, troubleshoot production systems, provide product feedback, and establish repeatable services practices. The role is hybrid in San Francisco with 25%–50% travel.

Lead engineering strategy, architecture, AI-native product development, execution, hiring, and organizational growth. Partner with the CEO, leadership, and Product to build technical roadmaps, establish AI-assisted development and evaluation practices, improve infrastructure and engineering quality, and maintain delivery accountability. This hands-on leadership role requires coding credibility, product collaboration, talent development, cross-functional communication, and ownership of engineering metrics, culture, and technical direction.

Develop and architect scalable Linux applications for the CyberSense cyber-recovery platform. Responsibilities include writing production-quality C and Python code, designing secure architectures, troubleshooting production issues, improving performance, mentoring cross-functional teams, coordinating technical deliverables, integrating and testing modules, resolving customer-impacting issues, and partnering with Product Management on feature plans. The role also provides technical leadership and drives adoption of AI technologies.

Own production protocol engineering for Quant’s permissioned EVM and rollup systems. Responsibilities include managing the release lifecycle from development through audit and deployment, coordinating external audits, remediating findings, maintaining upstream forks, making protocol divergence decisions, and explaining unexpected chain behavior to reliability, security, and banking stakeholders.

Design, build, and maintain secure integrations with EMR/EHR platforms, including API-based and legacy systems. Develop healthcare data pipelines, validation and transformation layers, and reliable event-driven workflows. Monitor integration health, troubleshoot production issues, and improve observability. Collaborate with product, clinical, and AI teams to translate workflows into technical designs while contributing to long-term integration architecture.

Leads the architecture, development, testing, deployment, and production support of scalable full-stack applications. Builds React and TypeScript frontends alongside Go, Java, Python, or Node.js backend services, using AWS, containers, CI/CD, databases, observability, and automated testing. Owns end-to-end delivery, contributes to system design and architecture reviews, resolves complex production issues, mentors engineers, and collaborates with product, design, architecture, and business stakeholders.

Lead design, development, testing, and maintenance of scalable full‑stack software. Contribute to architecture, code reviews, CI/CD, operational excellence, and mentor engineers while ensuring security, performance, and compliance.