Top Remote Staff Software Engineer Jobs

Build AI development infrastructure and tooling—context engineering, AI harnesses, workflow automation, and CI/CD integrations—to operationalize AI coding tools and increase engineering velocity at scale.

The Staff Software Engineer will architect infrastructure for simulation tests, lead cross-functional initiatives, and refine evaluation metrics to enhance autonomous vehicle technology.

As a Staff Software Engineer, you will define technical strategy for Drive-Thru solutions, standardize Android practices, and ensure seamless integration between mobile clients and backend services while mentoring peers.

The Staff Software Engineer will lead full-stack initiatives, improve system quality, drive technical direction, and mentor peers in a collaborative environment.

Design and build Fieldguide's core platform services, including APIs and systems. Mentor engineers and improve product delivery and system reliability.

As a Staff Software Engineer, you will drive technical direction for financial audit, mentor engineers, and design AI-driven workflows while collaborating on product development.

Lead architecture and technical direction for AI-enabled backend products, build proofs-of-concept, write production-grade code, mentor backend engineers, resolve technical debt, and collaborate with Product and Design to turn ambiguous goals into well-architected initiatives while embedding AI workflows into development.

As a Staff Frontend Engineer, you will architect scalable frontend components, lead technical direction, enhance web performance, and improve developer workflows while championing AI tools.

Drive the Continuous Integration team, ensuring build systems' reliability and scalability, and mentor CI engineers while improving developer productivity through automation and tooling.

The Staff Software Engineer will architect and develop systems connecting patients and providers, improve data reliability, and mentor engineers. They will work on generative AI technologies to enhance user experiences.

Own architecture and technical direction for Headway's Journey communications platform: design the decision engine, experimentation layer, channel orchestration, unified message ledger, and productionize LLM-powered personalization across multi-vendor delivery systems to improve patient and provider engagement.

Design, optimize, and maintain language execution engines and runtime systems (JIT/AOT, memory management) for scalable applications. Own full development lifecycle, implement high-quality reusable code, profile and optimize performance, integrate AI into workflows, collaborate with product owners, and mentor engineers on low-level systems and optimization techniques.

The Staff Software Engineer will lead the strategy and development of metrics to evaluate autonomous driving software performance, collaborating across teams and inventing new ML methods for performance evaluation.

Drive technical strategy and roadmap for Affirm's Online Storage platform. Design and build multi-region, highly available datastore solutions and control planes for hundreds of databases. Automate schema migrations, disaster recovery, sharding, and performance tuning. Collaborate with product, SRE, and infrastructure teams, own operations and on-call readiness, and mentor engineers while setting code and design standards.

Own and build Headways experimentation platform: assignment, exposure, identity resolution, feature flags, and data pipelines. Drive technical direction, reliability, and company-wide experimentation practices, integrate AI for diagnostics, and enable market-level tests across teams.

Lead and set technical strategy for the Order Platform powering post-checkout flows (orders, captures, refunds, settlement). Design and ship highly available backend systems, own reliability/operational practices, mentor engineers, collaborate cross-functionally, and drive long-term technical decisions and execution plans.

Lead architecture and hands-on development of the end-to-end video pipeline (live ingest, transcoding, storage, playback, and developer SDKs). Mentor engineers, collaborate across mobile/web/ML/platform teams, own monitoring and on-call support, and help scale video streaming and VoD capabilities for millions of streams and clips.

Lead technical vision and implement high-impact Ruby on Rails solutions for an internal demo platform. Improve reliability, observability, instrumentation, and integrations; partner with Product, Sales, and cross-functional teams; mentor engineers and drive architecture, testing, and engineering best practices.

Lead design and build of scalable, resilient backend systems for Gusto Money products. Own projects end-to-end, adopt AI tooling, collaborate cross-functionally, and mentor engineers while driving product development from concept to launch.

As a Staff Software Engineer, you will lead technical strategy for the Cash App Banking team, collaborate on solutions, mentor engineers, and focus on robust, scalable systems for consumer banking needs.

The Staff Software Engineer will develop and execute technical strategies for Cash App Banking, lead architectural decisions, and mentor engineers, focusing on innovative financial solutions.

As a Staff Software Engineer, you will enhance platform engineering by improving deployment strategies and developer experiences, establishing reliable systems and mentorship across teams.

The role involves providing technical leadership, hands-on execution, and cross-team influence in software engineering, focusing on solutions for scaling and performance challenges while using AI tools.

Lead technical strategy and execution for multi-quarter initiatives; build and maintain AI-driven systems; mentor and raise the technical bar across teams; collaborate cross-functionally; ensure data security and HIPAA-compliant practices; operate in an AWS + Kubernetes environment while introducing new technologies as system load grows.

Lead technical design and implementation of the ISPM product using Ruby on Rails. Build scalable data pipelines and systems to process large-scale identity telemetry, collaborate with security researchers and product teams, mentor engineers, and set architectural direction for detection and remediation features.