Top Hybrid Software Engineer Jobs

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Build and maintain backend services, APIs, data pipelines, workflows, and scripts that automate customer data ingestion and validation. Develop distributed data platform systems integrating ad networks, warehouses, and partner tools; contribute to AI services; collaborate with Customer Success on customer data models; and participate in on-call support.

Two-year rotational technology program for early-career talent, with placements in areas such as full-stack software engineering and data engineering. Responsibilities include designing and developing APIs, microservices, and applications; analyzing requirements; writing unit tests; debugging; defect management; system integration; and documenting changes. Participants receive structured training, mentorship, leadership exposure, and experience with modern development tools and technologies.

Develop software across microservices, productivity tools, credit engines, web services, and end-user applications. Responsibilities include full SDLC execution, server-side and web interface development, automation, SQL and data processing, documentation, code reviews, testing, load testing, monitoring, troubleshooting, debugging, and root cause analysis. The role is part of GLS’s campus recruiting and entry-level process for positions beginning in May 2027.

Lead frontend and full‑stack projects across Marimo's open-source ecosystem. Design simple, powerful editor experiences, build performant data visualizations and editor extensions, engage with the community, triage issues, and balance community needs with product roadmap.

The ServiceNow Platform Architect leads platform architecture, governance, technical standards, and alignment with business strategy. Responsibilities include documenting architecture, assessing impacts of new requirements, guiding the platform support team, consolidating solution needs, implementing ServiceNow capabilities, and supporting integrations and modern platform features. The role requires advanced ServiceNow administration and development expertise, database and data modeling experience, requirements gathering, and implementation experience across ITSM, SPM, ITOM, and CSM.

Leads the design, development, integration, deployment, and support of Salesforce solutions. Builds Apex classes, triggers, Lightning components, Visualforce pages, workflows, and API integrations. Translates business requirements into technical specifications, ensures security and scalability, troubleshoots issues, documents solutions, and recommends platform improvements. Collaborates with analysts, project managers, and stakeholders while supporting Agile delivery, data management, CI/CD, and enterprise application integrations.

Develop, configure, test, implement, upgrade, and maintain modular ServiceNow solutions supporting ITSM, CSM, ITOM, integrations, scoped applications, automation, and AI capabilities. Collaborate with platform owners, architects, administrators, and stakeholders; execute testing and upgrades; align platform capabilities with business strategy; and apply ITIL, CMDB, CSDM, scripting, Agile, and AI prompt-engineering practices.

Leads application engineering for an AI-powered email product, owning backend, mobile, and desktop architecture. Designs reliable AI workflows with orchestration, state management, retries, fallbacks, and failure handling; builds APIs connecting AI capabilities to product experiences; and leads a senior engineering team through architectural decisions, reviews, mentorship, and production excellence. Partners with ML leadership to ship scalable, observable, secure, and reliable systems while balancing latency, cost, user experience, and maintainability.

Build and own growth systems including landing pages, activation flows, checkout, experiment infrastructure, and lifecycle marketing tools. Partner with marketing, sales, product operations, and customer success to increase experimentation velocity, conversion, activation, retention, and revenue. Develop data-informed experiments, improve measurement and privacy practices, contribute across fintech products, and help evaluate future engineering hires.