Top Hybrid Software Engineer Jobs

The Staff Software Engineer will lead the development and optimization of a post-click platform, enhancing web interactions and driving performance improvements for mobile applications and browser experiences.

The Software Engineer will design and implement features for Spectacles across devices and cloud, collaborating with teams to develop innovative products.

The role involves designing and optimizing ML infrastructure, developing high-performance systems for AI model serving, and collaborating with ML engineers.

Lead design and delivery of customized Salesforce solutions, manage projects and releases, ensure code quality and performance, troubleshoot complex issues, collaborate with stakeholders, and coach and mentor junior developers.

Lead development of innovative software solutions, manage and mentor a development team, ensure quality deliverables, manage project timelines/budgets, adopt new technologies, and oversee application integration, security, and DevOps practices.

Lead a software development team to design, build, and deliver innovative applications. Manage project planning, budgets, timelines, quality, and stakeholder relationships. Mentor and develop staff, champion new technologies, ensure secure integrations, and uphold firm technical and professional standards.

Lead design and development of Unity-based 3D simulation and visualization tools, integrate CAD systems (Teamcenter, AutoCAD, Siemens NX), automate data workflows with Python, generate synthetic datasets for ML, build cross-platform AR/VR/XR experiences, optimize performance, prototype new technologies, and mentor junior developers.

Design, build, and scale high-performance 3D simulation environments and core platform services. Implement NPC behaviors, develop asset pipelines for USD/glTF, integrate simulations with automation pipelines, own features end-to-end, and document tools and practices to enable cross-team adoption.

The Senior Design Release Engineer will manage software integration, debugging, and release processes, ensuring quality delivery of software and calibration packages while leading technical initiatives and stakeholder engagement.

Lead software engineering initiatives, develop best practices, mentor teams, and enhance enterprise testing capabilities using modern technologies.

Lead development of low-latency, scalable microservices for prime brokerage and equity finance. Design architectures, refactor legacy code, write high-quality Java, create RDBMS objects, implement distributed systems, build automated tests, leverage GenAI for productivity, and collaborate with product and users to deliver resilient, production-grade solutions.

Lead design, development, testing, and deployment of large-scale software solutions and GenAI services. Drive standards, mentor teams, develop RESTful APIs, collaborate with business and technical stakeholders, and ensure delivery aligns with technology best practices.

Develop and maintain Mac and iOS applications, translating product requirements into high-quality code while ensuring performance and troubleshooting issues.

The Principal Software Development Engineer will design and implement networking security software in cloud infrastructure, ensuring seamless operation of ZIA software and driving technical leadership in firewall/SWG platforms.

Design and implement scalable, high-performance backend services and APIs; write and maintain unit, integration, and performance tests; monitor and optimize system performance; mentor junior engineers; participate in code reviews and Agile processes; join on-call rotation to support a highly available platform and ensure compliance with federal guidelines.

Lead architecture and technical strategy for Squarespace Online Stores backend. Mentor engineers, drive design reviews, collaborate across teams, contribute production code, and align technical investments with business priorities.

The Software Engineer, Backend will design and develop APIs, build self-service tools for data delivery, and enhance the reliability and scalability of microservices within the Data Platform Group.

Summer software engineering internship on the D1 Support Operations team to assess AI backlog, design architectures and solutions, estimate effort, and build AI agents integrated into support workflows. Collaborate with operations, data science, ML engineers, and customer-facing teams for hands-on engineering experience.

Support definition of a Support Knowledge Management strategy, implement AI tooling to draft and curate customer articles, and collaborate with data science to build quality controls for LLMs and agents.

Lead design and implementation of backend services for the Lending Platform across full product lifecycle. Drive architecture, mentor engineers, uphold reliability/security standards, resolve cross-team technical issues, and collaborate with Product, Legal, Compliance, and Operations to deliver scalable, production-ready solutions.

Develop and maintain high-performing web applications, drive user growth, mentor engineers, and improve site performance while collaborating across teams.

The Staff Software Engineer will lead the design and implementation of loan product features, ensuring engineering excellence, collaboration with cross-functional teams, and alignment with company strategies.

As a Full Stack Software Engineer, you will develop tools for cloud management, build APIs and UIs, and maintain cloud systems.

Design, build, and maintain globally distributed, fault-tolerant backend microservices and data pipelines. Integrate and refine Large Language Models, collaborate cross-functionally, ensure high-quality code, testing, monitoring, and mentor other engineers while owning features end-to-end.

As a UI engineer, you will contribute to front-end features, implement data visualization components, maintain code quality, and collaborate with multidisciplinary teams.

Lead a team building production systems for code understanding and automated code changes. Drive technical direction, partner cross-functionally, maintain evaluation/monitoring pipelines, ensure production readiness (on-call, SLIs/SLOs, postmortems), own hiring and career growth, and uphold engineering rigor for data pipelines, model inputs, reproducibility, and CI/CD.