Top Remote Staff Software Engineer Jobs

Design, implement, scale, and maintain backend systems processing large data volumes. Build event-driven and API integrations, migrate to domain-based architectures, optimize performance-sensitive workflows, investigate and resolve technical issues, collaborate with product and data science, and mentor junior/mid-level engineers (~20% of time).

Design, implement, scale, and maintain backend systems that process large volumes of data. Build and optimize event-driven and API-based integrations, migrate to domain-based architectures, and ensure high-throughput, low-latency production performance. Investigate technical problems, collaborate with product and data science, and mentor junior engineers while delivering robust, production-critical solutions.

Lead improvements to decision-making, motion planning, and controls software quality for driverless vehicles. Implement validation, diagnostics, static analysis, compiler optimizations, and eliminate runtime allocations. Develop and deploy agentic AI tools to enforce design and validation principles, collaborate across subsystems, and present results to reduce failures before commercial launch.

The Staff Software Engineer will lead the software development lifecycle focusing on observability, design high-scale distributed systems, and mentor team members while ensuring technical excellence.

Build, operate, and scale core data services and APIs to process, store, and deliver large-scale patient health records with low latency and high availability. Provide technical leadership, contribute to architecture and design, collaborate with product and engineering teams, and coach engineers.

Lead delivery of high-complexity digital banking implementations: design and build Java Spring Boot microservices, REST APIs, cloud-native containerized deployments, data and DB migrations, event streaming, monitoring and performance optimization. Act as a customer-facing technical lead conducting code reviews, test strategies, and cross-functional coordination to resolve operational issues.

The Staff Software Engineer will lead AI integration into software design, develop scalable systems, and mentor other engineers while improving best practices.

Lead development of new AI-native outbound products from zero to one, shape product and engineering roadmap, build scalable systems using modern infra and LLMs, mentor engineers, and establish engineering standards to support company growth.

The role involves leading the architecture and implementation of hypervisor features, mentoring engineers, and driving technical vision for Lynx's Mosaic platform.

Design and implement interactive learning building blocks and clear APIs, own implementations from idea to launch, write maintainable code, collaborate in cross-functional teams, and ensure AI-interoperability and pedagogical correctness in interactive experiences.

Develop robust infrastructure and scalable systems for mortgage servicing while collaborating with Product and Design teams to enhance user experience.

Design and develop motion planning software and algorithms for self-driving vehicles, collaborating with engineers and researchers while maintaining progress on long-term goals.

As an Applied AI Engineer, you'll build AI agents and experiences from concept to production, collaborating across teams and optimizing systems for usability and quality.

As a Senior Staff Engineer, you will lead technical vision and architectural direction for Payments Compliance, ensuring scalable and cohesive compliance systems while partnering with cross-functional teams to navigate regulatory requirements.

Design, build, and operate a cloud-first platform: architect scalable AWS backend services, own infrastructure via AWS CDK, develop full-stack components (Node.js, React, React Native), optimize PostgreSQL, and drive platform technical direction while supporting production and incident response.

Senior technical leader responsible for architecting and building cloud-native, microservices-based platforms with AI capabilities. Lead design and delivery of scalable search and AI solutions (LLMs, RAG), data pipelines, search optimization (Elastic/OpenSearch/Solr), CI/CD and DevOps adoption, observability, and mentor engineering teams while driving responsible AI practices and stakeholder collaboration.

Own and productionize core localization systems (state estimation, mapping, calibration). Build monitoring, diagnostics, validation, and deployment tooling. Integrate sensors, tune performance, run regression testing, and iterate using data from real autonomous airport operations to enable driverless capability.

Lead a cross-functional engineering team with hands-on architecture and coding. Mentor engineers, drive technical execution, improve delivery practices, and collaborate with Product and QA to deliver reliable, modern cloud-based AI platform solutions.

Lead front-end architecture and development, deliver high-quality user experiences, adopt pragmatic AI-assisted workflows, mentor engineers, make technical decisions, and ship production-grade React/TypeScript applications in a fast-moving startup.

Lead technical strategy and architecture across multiple engineering teams, drive platform and developer productivity, promote engineering best practices (quality, reliability, security, observability), advance AI-enabled engineering, mentor senior engineers, and contribute hands-on to complex distributed systems, integrations, and cloud-native solutions to improve organizational engineering outcomes.

Define and own platform architecture for agentic and conversational AI systems, lead cross-functional technical initiatives, design scalable LLM integration and retrieval pipelines, establish engineering standards for scale, mentor senior engineers, and operate full-time on-site in San Francisco.

Lead cross-product engineering work: design APIs and data models, turn ambiguous customer problems into technical plans, implement and roll out features across web, APIs, CLI, integrations, and infra, debug production issues, and raise engineering quality through docs, reviews, and mentorship.

The Security Software Engineer will design and implement security controls for MongoDB Atlas, collaborating across engineering teams and ensuring adherence to high security standards.

The Lead Software Engineer will design and develop full-stack applications for construction project management, ensuring intuitive data workflows and collaborating across teams to enhance user experience and performance.

The Staff Software Engineer will lead technical solutions and architectural reviews, mentor engineers, and drive the development of scalable healthcare products.