Top Hybrid Software Engineer Jobs

Build and optimize Salesforce Marketing Cloud solutions for email, SMS, and MMS patient engagement journeys. Develop dynamic content, data extensions, automations, landing pages, and microsites; maintain REST and SOAP integrations; support reporting, production troubleshooting, deployments, and platform performance improvements. Collaborate with stakeholders and technical teams in an Agile environment across Salesforce clouds and external platforms.

Develops and maintains software solutions by translating business requirements into technical designs and code. Responsibilities include end-to-end development, unit and integration testing, debugging, code reviews, source control, sprint planning, solution design, technical debt prioritization, QA issue resolution, and automation. Collaborates with Scrum Masters, Product Owners, and developers while supporting continuous integration and delivery. May contribute to project planning and mentor newer developers.

Develop JavaScript and TypeScript applications using Node.js, NestJS, and React within an agile team. Collaborate with senior developers, use Azure DevOps and Git repositories, implement UI/UX designs, and create end-to-end and unit tests for frontend functionality. Support API and data-driven web applications, respond to client and stakeholder needs, communicate with technical and non-technical audiences, and recommend process improvements.

Maintain and improve production software using Python, Django, and React. Resolve bugs, complete upgrades, troubleshoot issues, write and test maintainable code, follow GitHub and CI/CD workflows, monitor system health, respond to service requests, and collaborate with senior engineers and product owners in an Agile environment.

Own engineering for a healthcare software startup, writing production code across patient and clinician products, clinical data systems, healthcare integrations, internal tools, and infrastructure. Lead architecture, reliability, security, privacy, compliance, and technical standards. Partner with product and clinical teams, make technical decisions, and eventually hire and mentor engineers while growing into Head of Engineering.

Provide hands-on technical leadership for Keeper’s cross-platform browser extension architecture. Design secure, scalable solutions using JavaScript and TypeScript; guide extension components, messaging, storage, APIs, native integrations, performance, and reliability. Lead architecture and design reviews, security collaboration, modernization efforts, and cross-functional technical decisions while mentoring senior engineers. The role requires broad full-stack expertise across cloud infrastructure, distributed systems, databases, application security, CI/CD, and modern web technologies.

Develop and enhance backend systems and REST APIs supporting high-volume travel searches. Build low-latency, high-throughput transactional services using Java, SQL, Spring, JavaScript, and Node.js. Participate in agile, cross-functional projects; collaborate with business leaders; investigate application data; maintain codebases; and contribute to continuous integration, automation testing, and cloud-based applications.

Own the company’s integration surface, beginning with CargoWise and expanding to Magaya, Descartes, and other operational platforms. Build safe bidirectional write-back connectors with idempotency, replay, reconciliation, validation handling, and workflow safeguards. Integrate deeply with the company’s canonical connector architecture using Python, FastAPI, Celery, PostgreSQL, Redis, and AWS. Apply hands-on TMS and CargoWise/eAdaptor expertise to modify customer systems of record reliably in production.

As a Full Stack Engineer, you will architect technologies for education savings platforms, develop scalable services and APIs, and improve user experiences while collaborating with teams.

Build and maintain full-stack CRM and B2B e-commerce features across front-end, back-end, and database layers. Design integrations with ERP systems and external partners through APIs, data pipelines, and file exchanges. Modernize legacy functionality, prototype AI and agentic features, contribute to architecture, collaborate with stakeholders, review code, and mentor engineers.