Top Remote Staff Software Engineer Jobs

Lead the architecture and reliability of a financial data extraction platform, reducing human validation reliance by enhancing accuracy and scalability of systems while leveraging AI-driven solutions.

As a Staff Software Engineer at Arc, you will lead the design and development of a new AI-native banking platform, focusing on reliability and scalable systems for cash management and treasury solutions, while influencing product direction and mentoring team members.

The Staff Software Engineer will build and scale machine learning systems for personalization, collaborating with teams to enhance project quality and performance.

As a Staff Backend Engineer at FloSports, you'll lead backend development initiatives, focusing on scalable distributed systems, authentication frameworks, and mentoring engineers while collaborating with product teams for technical solutions.

The Staff Software Engineer will design, build, and maintain compliance systems for fraud prevention, managing KYC workflows and regulatory reporting. They will mentor engineers and drive technical strategy while collaborating with various stakeholders.

As a Staff Software Engineer, you will develop impactful backend systems, design data models, collaborate with cross-functional teams, and enhance engineering processes.

Lead the technical vision and architecture for Internal Access Management, ensuring secure, auditable authorization across engineering systems. Mentor others and drive adoption of secure identity patterns in cloud environments.

Lead the technical direction of an engineering team, making major technical decisions, mentoring engineers, and improving technical quality through reviews and effective communication.

As a Staff Software Engineer AI-Native, you will build and evolve AI-native engineering workflows, design high-quality APIs, and collaborate with international teams to deliver reliable services while mentoring others.

Design, prototype, and productionize Generative AI and LLM features across backend and frontend. Integrate ML models, fine-tune, perform prompt engineering, operate inference platforms, and support AI-based product launches while participating in on-call duties.

Design and build planning systems for autonomous driving. Responsibilities include optimizing algorithms, collaborating with engineering teams, and mentoring engineers.

Design and deliver end-to-end software solutions (APIs, microservices, scalable data models), optimize performance, lead architecture and code reviews, mentor engineers, build CI/CD and observability, document systems, create fault-tolerant distributed systems, and lead front-end and mobile performance work. Must demonstrate broad experience across multiple listed technologies.

Join the Platform SysEng squad to design, build, and operate highly available, low-latency cloud-native infrastructure. Improve platform scalability, performance, and reliability; own SLOs/SLIs, capacity planning, and production operability; collaborate across teams to reduce region build times and ship platform improvements. Work primarily with Go/Python/Shell, Kubernetes, IaC, and observability tools, and participate in on-call rotations.

Lead design and implementation of backend services and APIs for payments, billing, settlements, ledgers, and reconciliation. Drive architecture for highly available, auditable financial platforms, integrate with payment processors and banking partners, ensure transactional integrity, observability, and compliance. Deliver end-to-end initiatives, mentor engineers, and operate mission-critical systems with strong emphasis on reliability, security, and scalability.

Technical leader responsible for designing complex software modules and architecture, driving scalability, availability, and performance. Provide guidance to engineering teams, collaborate with product leaders and stakeholders, lead impact assessments and technology decisions, and implement solutions. Advocate reuse, coach agile practices, and ensure high-quality implementations across product versions.

The role involves leading application performance improvements across multiple platforms, focusing on measurable metrics and driving engineering standards and workflow optimization, using both hands-on coding and strategic influence.

Drive architecture and implementation of an internal AI/agent platform: design agent runtimes and SDKs, define eval-driven release gates, safety, telemetry, and AuthX, partner with product teams to integrate reusable capabilities, set standards for prompt management and observability, write and ship production code, and mentor engineers.

Design and build scalable web applications, collaborate on product direction, and implement complex systems using ML techniques, ensuring software quality.

As a Staff Software Engineer, you will design and implement high-volume ETL pipelines, optimize streaming performance, and mentor the engineering team, ensuring robust data infrastructure.

Design, implement, scale, and maintain backend systems that process large volumes of data. Build/event-driven and API-based integrations, optimize performance-sensitive workflows, lead migrations to domain-based architecture, investigate technical issues, and collaborate closely with data science and cross-functional teams while mentoring junior engineers.

Design, implement, scale, and maintain backend systems that process large volumes of data. Build event-driven and API-based integrations, migrate toward domain-based scalable architecture, optimize performance-sensitive workflows, troubleshoot production issues, and collaborate with product and data science. Mentor junior engineers and deliver high-throughput, low-latency production systems.

Design, implement, scale, and maintain backend systems that process large data volumes. Build event-driven and API-based integrations, migrate toward domain-based scalable architecture, optimize performance-sensitive workflows, and collaborate with Outcomes, Methodology, Recruitment, product, and data science teams to resolve complex technical problems.

Design, implement, scale, and maintain backend systems processing large data volumes. Build event-driven and API integrations, migrate toward domain-based architecture, optimize performance-sensitive workflows, investigate technical problems, collaborate with product and data science, and mentor junior/mid-level engineers.

Design, implement, and maintain cloud-native full-stack software to migrate, preserve, and make large volumes of government records searchable and accessible. Build Section 508-compliant frontends and secure backend APIs, follow API-first and CI/CD practices, defend against vulnerabilities, mentor engineers, and collaborate with cross-functional teams to deliver reliable, performant systems.

Design, build, and operate production-grade agentic AI systems: multi-agent orchestration, enterprise-grounded reasoning using CMDB/Knowledge Graph, retrieval/RAG pipelines, model integration with frontier SDKs, and trust/safety/governance. Lead architecture, code quality, and mentor engineers for scalable, safe autonomous agents.