Top Hybrid Software Engineer Jobs

Lead redesign of core data models, expand and improve the reporting system, and build user-facing automation to streamline repeated workflows. Work autonomously to take features from conception through delivery while collaborating with stakeholders and raising engineering standards.

Lead backend-focused fullstack development, collaborate with Data/ML teams to design and deploy scalable, performant systems; own architecture, select tech stacks, and balance tradeoffs for rapid iteration and production deployment.

Deploy Nexus enterprise AI software for customers, from technical discovery through production validation and handoff. Build integrations, Python and SQL transformations, notebooks, APIs, and automation; validate data pipelines and semantic models; resolve technical issues; document and stabilize deployments; communicate with customer stakeholders; and convert recurring deployment challenges into reusable engineering improvements.

Lead design, build, and scale of Kubbly's messaging AI platform. Own architecture, reliability, observability, databases, integrations, CI/CD, and production systems while shaping product roadmap and engineering culture.

Develop compiler and high-performance computing solutions that translate .NET and Java bytecode into optimized CUDA and ROCm code for CPUs and GPUs. Analyze customer algorithms, design parallel implementations, extend compilation infrastructure, build reusable libraries, and optimize throughput and latency. Apply expertise in GPU programming, compiler architecture, mathematics, and software engineering to deliver performance matching or exceeding hand-tuned binaries.

Lead architecture and delivery of scalable, secure platform initiatives. Provide hands-on engineering, design high-performance systems, mentor engineers, and collaborate with product and business stakeholders.

Build and maintain end-to-end product features across frontend, backend, and databases. Design APIs, authentication, data models, integrations, and AI-assisted workflows. Ship production-ready SaaS components, debug across the stack, improve reliability and performance, and collaborate on product and architecture decisions in an early-stage startup.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Lead design, build, test, and deliver Workday integrations across a multi-system higher education environment. Own integration strategy, implement EIBs/Core Connectors/Studio/APIs, coordinate testing and cutovers, ensure FERPA-compliant data security, and partner with vendors and IT for documentation and operational handoff.

Build and scale Flywheel’s AI-native content platform as its first technical hire. Responsibilities include backend systems, data pipelines, content-generation workflows, web scrapers, integrations, AI product experiences, and customer-facing interfaces. The role requires end-to-end ownership, production LLM experience or rapid learning ability, strong product judgment, and comfort working directly with founders and users in an in-person London environment.