Top Software Engineer Jobs

Join Rain's AI team as a Backend Engineer to build scalable backend systems and AI-powered features while collaborating with business teams.

Designs and delivers enterprise-grade AI-first full stack applications for Master Data Management. Develops Java backends, React or Angular frontends, REST APIs, microservices, data models, and integrations. Leads architecture, debugging, testing, performance, scalability, code reviews, Agile ceremonies, and technical direction. Uses and evaluates AI coding tools, mentors junior engineers, and collaborates with product, UX, QA, and platform teams.

Build and ship scalable, performant AI-powered Copilot web experiences for millions of users. Design reusable frontend systems, deploy frontend infrastructure, and collaborate with AI researchers, product managers, and designers. The role emphasizes user-centric product development, safety, reliability, rapid iteration, and high-quality execution in a collaborative environment.

Develop responsive web interfaces and applications for ABB Robotics using HTML5, CSS3, JavaScript, .NET, Blazor, React.js, or Angular. Collaborate with UX/UI designers, write maintainable code, participate in reviews, troubleshoot browser and device issues, and learn Agile/Scrum practices in an onsite/hybrid San Jose environment.

Architects, designs, and develops complex software systems with extensive hands-on coding. Leads technical delivery across application families, guides vendors, promotes engineering standards, mentors technical staff, and partners with architects on enterprise technology strategy. Oversees modernization, technical debt reduction, incident response, troubleshooting, root cause analysis, and production reliability while collaborating with cross-functional stakeholders on high-impact projects.

Design, develop, test, deploy, and maintain backend services and data pipelines. Ensure technical and product excellence, performance, and engineering best practices. Collaborate across global teams, drive projects, and contribute to large-scale system design and distributed computing challenges.

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.

Lead the architecture and development of reliable AI-powered email applications across backend, mobile, and desktop platforms. Design APIs and workflow systems supporting orchestration, state, tool use, retries, fallbacks, and failure handling. Lead a small senior engineering team, make architectural trade-offs, mentor engineers, and establish strong production practices including observability, monitoring, testing, scalability, security, and operational excellence. Partner with ML leadership to deliver robust, high-quality product experiences.

Lead the design and development of mission-relevant software, build backend services and APIs, mentor engineers, and support technical demos.

Build high-performance front-end interfaces for generative and agentic AI experiences using React and TypeScript. Develop reusable accessible component libraries, conversational workflows, streaming interfaces, agent execution visualizations, and dynamic outputs. Integrate RAG, ESRE, and orchestration APIs; optimize asynchronous state and real-time response performance; implement UX analytics; and collaborate with designers, product managers, backend engineers, and users. Maintain design-system alignment, accessibility compliance, documentation, and front-end architecture.

As a Staff Software Engineer, you will lead technical strategies, develop APIs and microservices, and mentor engineers for innovation at GEICO.

Lead the design, development, testing, and deployment of enterprise Java applications and scalable microservices. Work directly with clients to translate business needs into technical solutions, build proof-of-concepts and production applications, and deploy Devin AI across engineering teams. The role involves Spring Boot development, distributed and event-driven systems, secure architecture, software modernization, and AI-assisted development workflows.

Lead frontend architecture and technical direction for Observe by Snowflake’s AI Products team. Build interactive interfaces for streaming, multi-step AI agents; develop Slack integrations, CLI tooling, evaluation pipelines, MCP integrations, and extensible platform capabilities. Partner with product and design on roadmap decisions, mentor engineers, author architecture guidance, and deliver scalable customer-facing web applications for AI-powered observability.

Two-year international rotational program for early-career engineers working across R&D teams on software and AI solutions. Responsibilities include developing innovative network and communications products, collaborating with Agile teams, communicating design and project progress, resolving issues, learning new technologies, and adapting to changing priorities. Participants may complete temporary assignments in other countries or locations before continuing their careers with VIAVI.

A two-year international rotational program for early-career engineers working across R&D teams. Participants develop software and hardware solutions for communication networks, collaborate with Agile teams, solve technical problems, and learn emerging technologies. The role includes software engineering and AI-focused work involving programming, Linux, networking protocols, RESTful APIs, large language models, AI-assisted coding, and agentic workflows. Graduates continue their careers with a designated VIAVI team.

Develop HPC and AI software workflows for experimental data processing, imaging, plasma, high-energy physics, and materials simulations. Profile applications, benchmark performance, identify bottlenecks, and advise collaborators and product teams. Build tutorial examples, translate research into software tools, and represent NVIDIA at scientific conferences and industry events.

The Software Engineer will build AI-powered chatbot workflows, own features end-to-end, and collaborate in a fast-paced environment. Ideal candidates have a strong engineering foundation and experience with AI development tools, focusing on enhancing software processes.

Leads Snowflake’s AI Developer Experience engineering team, setting the roadmap for transforming software development and delivery through AI. Responsibilities include managing and developing engineers, improving code review latency, enabling access to modern AI tools and models, establishing agentic development pathways, and maintaining operational excellence through on-call management, incident response, postmortems, and support prioritization. The role requires strong technical judgment, cross-functional communication, measurable customer impact, and experience modernizing developer productivity and CI/test workflows.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Build and deploy AI solutions for clients, including agentic workflows, RAG systems, structured extraction, OCR and document-processing pipelines, retrieval systems, evaluation harnesses, and lightweight interfaces. Translate ambiguous client problems into production code, drive engagements from discovery through deployment, collaborate with stakeholders, and contribute to internal platform capabilities and engineering practices.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and user trust. Provide rigorous, opinionated feedback distinguishing response quality levels and help define best practices for tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires strong software engineering expertise, familiarity with AI-assisted development workflows, and the ability to assess code and explanations without deeply reviewing or executing every line.

Principal Software Engineer serving as a technical authority for backend, data, and AI platform architecture. Responsibilities include designing large-scale distributed data platforms, streaming systems, APIs, data models, and production AI systems using LLMs, RAG, vector search, and agent orchestration. The role establishes architectural standards, governance, observability, security, and cost controls; contributes high-impact production code; guides modernization; partners with product and engineering leaders; and mentors senior engineers.

The Enterprise Data Architect develops and optimizes database solutions, migrating data, conducting tests, and ensuring information system functionality.

Design, build, test, and deploy enterprise workflow automations and SaaS integrations. Develop REST API integrations, custom automation logic, event-driven workflows, and browser-based automations. Analyze business processes, create reusable templates, document solutions, follow governance and release practices, and collaborate with security, IT, architecture, business stakeholders, and users.

Leads and develops a software engineering team building Libra Solutions’ platforms in an AI-native, agentic delivery model. Owns delivery commitments, technical quality, architecture, code reviews, engineering standards, CI/CD, technical debt, and AI-assisted development practices. Partners with Product, Engineering, and business stakeholders while tracking delivery and system health metrics. Coaches engineers, supports hiring and retention, and establishes responsible AI, prompt engineering, and output-review standards.