Top Remote Software Engineer Jobs

As a Backend Software Engineer, you'll design scalable features, contribute to architecture, work closely with customers, and ensure quality code.

As a Staff Software Engineer, you will lead the technical vision for DataRobot's Fleet team, mentoring engineers and architecting scalable infrastructure using Kubernetes for multi-cloud environments.

The Senior Software Engineer will enhance backend systems, ensure low latency in transaction processing, and maintain service availability while improving core functionalities.

The role involves building and delivering high-quality full-stack solutions with a focus on user experience and solving complex technical problems.

The Senior Software Engineer will develop and implement scalable software solutions, drive innovation in AI-assisted development, mentor team members, and ensure high-quality technical documentation and architecture.

Develop and optimize data structures for high data-intensive scenarios, ensure data availability, and debug consistency issues on distributed systems.

Senior Software Engineers will develop AI-native products, write maintainable code, deploy applications, and collaborate across teams to enhance learning experiences.

As a Staff Software Engineer, you will lead technical direction in architecting foundational software systems for Alpaca's Middle East operations, ensuring reliability, scalability, and compliance. You'll drive complex software initiatives, maintain high quality standards, and coordinate infrastructure strategies while mentoring engineers and influencing organizational practices.

As a Senior Software Engineer, you will architect and build scalable systems for global tax compliance, ensuring accuracy and auditability. Responsibilities include developing microservices in Golang, managing data pipelines, and leading cross-functional collaboration.

Lead the architecture of backend services and distributed systems for OpenAI's B2B engineering team, ensuring scalable, reliable, and secure products.

As a Senior Software Engineer at Ayama, you will build and improve AI-based systems, design data pipelines, and develop full-stack product features. This role requires strong architectural judgment and hands-on experience with optimization problems and large-scale data processing.

Lead backend and full-stack TypeScript development for identity, authentication, and authorization across scalable, resilient cloud and hybrid deployments. Drive architecture, CI/CD, automated testing, observability, mentor engineers, plan quarterly goals, and participate in on-call/service ownership.

The Senior Software Engineer will develop backend systems, mentor engineers, and collaborate with cross-functional teams while contributing to product features and roadmaps.

Lead the creation of an AI-powered software generation platform, partner with AI and infrastructure teams, and define success metrics to enhance developer experience.

As a Staff Software Engineer, you will lead product development from design through deployment, collaborating on software for delivery operations including backend services and user products.

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

Design, implement, test, and document network protocol stacks and services for LynxOS-178 and other RTOS/Linux kernel environments. Optimize network performance, troubleshoot low-level network and software issues, develop BSD/POSIX sockets applications, collaborate cross-functionally, and support certification data generation and review.

The Senior Software Engineer will build and operate systems for Vanta's FedRAMP environments, focusing on reliability, compliance, and incident response, while collaborating with product teams and improving operational readiness.

The Senior Software Engineer will develop and implement navigation and motion planning systems for humanoid robots, focusing on 3D motion algorithms and collaboration with AI teams. Responsibilities include designing navigation stacks, testing systems, and optimizing locomotion capabilities for autonomous operations.

The Senior Software Engineer will lead design for large cloud platform projects, troubleshoot system issues, and mentor engineers, focusing on scalability and reliability.

Lead architecture and delivery of the measurement platform for ads lift and brand studies. Design and operate large-scale batch and streaming data pipelines, services, and APIs; operationalize measurement methodology with Data Science; build automated validation, monitoring, anomaly detection, and continuous verification; drive AI enablement and mentor engineers while leading cross-functional initiatives to improve reliability and data quality.

Lead design and implementation of performance marketing backend systems: ad integrations, event pipelines, attribution and measurement, bidding and budget optimization, reliability for spend-critical systems, cross-team coordination, and mentoring engineers. Drive measurement methodology, privacy-resilient approaches, and use of AI to accelerate work.

Lead design and implementation of Pinterest's exabyte-scale data lake storage and metadata systems. Drive architecture and execution for scalable storage features supporting large ML/AI workloads, collaborate across data/ML/infrastructure teams, and contribute to open-source projects (Iceberg, Spark, Flink).

Lead architecture and strategic direction for Pinterest's data warehouse, analytics tools, and data governance. Drive cross-functional initiatives to build scalable data platforms, AI-assisted pipeline tooling, and analytics capabilities. Mentor engineers, define policies and tooling, and deliver measurable adoption and business impact across the company.

Design, build, and operate backend services and large-scale distributed systems powering Pinner-facing features. Partner with product, design, and data teams to implement GraphQL APIs, convert REST to GraphQL, improve developer productivity, employ automated testing and A/B experiments, and leverage AI to accelerate and validate engineering work from prototype to production.