Top Remote Software Engineer Jobs

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, developing reliable ingestion and processing systems, optimizing data quality, throughput, and cost, and collaborating with AI scientists. The role requires ownership of engineering projects from discovery through continuous improvement in a distributed, ambiguous environment.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering audio data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The role requires ownership of engineering projects from discovery through continuous improvement, with emphasis on backend development, production systems, data acquisition, and scalable infrastructure.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering audio data sources, developing reliable ingestion and processing systems, optimizing data quality, throughput, and cost, and collaborating with AI scientists on training datasets. The role requires ownership of engineering projects, strong backend development, production systems experience, and independent problem-solving in an ambiguous environment.

Build and operate large-scale data pipelines that acquire, process, and optimize audio datasets for AI model training. Responsibilities include discovering data sources, improving data quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement. The role requires strong backend engineering, production systems experience, and independent problem-solving in a distributed environment.

Build and operate large-scale data pipelines for AI model training, including discovering audio data sources, optimizing processing systems for quality, throughput, and cost, and collaborating with AI scientists. Own engineering projects from discovery through continuous improvement while working independently in an ambiguous environment.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, developing reliable processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The role requires strong backend engineering, production systems experience, Python and Bash proficiency, and independent ownership of projects. Experience with web crawling, distributed processing, GCP, Terraform, machine-learning datasets, or audio processing is advantageous.

Build scalable data pipelines and processing systems for AI model training at petabyte scale. Responsibilities include discovering audio data sources, improving dataset quality and processing efficiency, optimizing throughput and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, optimizing data processing for quality, throughput, and cost, partnering with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and scale full-stack software for employer and Employee Assistance Program products, including employer portals, patient and provider workflows, eligibility, authorization, and billing. Lead technical projects, design secure distributed systems, mentor engineers, contribute to engineering culture, and use modern technologies and AI-assisted development tools. Collaborate cross-functionally to expand access to mental healthcare.

Build and ship web-based transportation management software for trucking customers. Collaborate with product, UX, and engineering teammates to understand user workflows, solve domain problems, deliver features rapidly, and maintain an effective balance between quality and velocity. The role requires proactive ownership, strong communication, frequent collaboration, and willingness to learn the trucking industry and engage with customers.

Lead backend engineering for a high-performance, data-intensive SaaS platform. Responsibilities include defining technical vision, designing scalable and highly available systems, executing technical projects, participating in architecture decisions, monitoring and optimizing services, improving CI/CD and infrastructure, conducting postmortems, mentoring engineers, documenting practices, and aligning with partner teams.

Build and scale full-stack software for an AI-native cybersecurity platform. Responsibilities include developing backend services and APIs, creating frontend applications, collaborating on product features, writing tested code, participating in reviews, troubleshooting across the stack, and improving engineering processes. The role requires 3–5 years of software engineering experience and experience with backend, frontend, databases, and cloud technologies. Docker, Kubernetes, CI/CD, AI/ML, and startup experience are preferred.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Design and deliver Android system applications for Toast POS devices, including device policy enforcement, setup, firmware and app updates, background services, and fleet deployment. Lead technical design, cross-functional planning, Android and hardware upgrades, automated testing, production issue investigations, and staged rollouts. Mentor engineers and collaborate with product, hardware, QA, and software teams to build secure, reliable device-management systems.

As an Android Software Engineer, you'll design and develop applications, enhance Android components, and improve telemetry solutions for device reliability in rugged tech environments.

Join as the founding full-stack engineer to extend a TypeScript React/Next.js prototype, design product features, integrate AI/OCR, write tests and infrastructure, talk to users, and iterate quickly to drive growth.

Develop and maintain accessible, responsive front-end web applications for the Department of Veterans Affairs. Build React, Angular, or similar interfaces; integrate REST APIs and AI-driven insights; collaborate with UX, backend, cloud, and AI/ML teams; and support testing, security, performance, scalability, documentation, and Agile delivery.

Build and maintain high-performance, resilient SDKs across multiple programming languages and platforms. Develop features, improve reliability, collaborate with engineering and product teams, maintain open-source repositories, and influence technical and product decisions. The role requires strong software engineering fundamentals, polyglot development ability, library-building experience, production-quality coding, and expertise in unit, integration, load testing, and benchmarking.

Work directly with the founder to design and build core product features: integrations that pull license data, automation to file renewals/applications, data cleaning with AI, dashboard and alerting UX, and establish engineering practices for testing, deployments, and security. Term contractor role with potential conversion to full-time based on performance.

Build, test, review, deploy, monitor, debug, and maintain full-stack software used in K-12 classrooms. Work primarily with React, TypeScript, Node.js, and AWS while improving complex codebases and service design. Participate in incident response, refactoring, code reviews, pairing, mentorship, and cross-functional collaboration with product, design, and education experts. Use AI tools thoughtfully and prioritize reliable, accessible, and equitable learning experiences.

Design, build, and operate NVIDIA’s hosted Apache Spark acceleration service across Kubernetes, AWS, GPU Spark runtime, and workload-routing layers. Develop Java and Scala services, integrate data lake technologies, investigate large-scale production failures, maintain observability and runbooks, participate in on-call, and guide infrastructure, CI, and testing decisions.

Build Tailscale’s internal AI-enablement tools, workflows, guardrails, and documentation. Partner with engineering leadership and teams to define the AI roadmap, evaluate coding agents and models, improve adoption, and measure effects on velocity and quality. The role involves developing internal developer-facing automation, teaching and influencing engineers, identifying high-leverage AI opportunities, and promoting safe use of AI-generated code in a distributed engineering organization.

Develop and ship full-stack, AI-powered applications using Unframe’s platform. Collaborate with product teams, research teams, internal stakeholders, and enterprise customers to tailor solutions, extend platform and UI/UX capabilities, and integrate AI functionality into production. Write clean, tested, maintainable code and own features from concept through deployment.

Develop and ship full-stack, AI-powered applications using Unframe’s platform. Collaborate with product teams and enterprise customers to tailor solutions, extend platform and UI layers, integrate AI capabilities into production, and deliver clean, tested, maintainable code. The role requires end-to-end ownership of user-facing products and strong communication in a fast-moving startup environment.

Develop and support secure, reliable, scalable production software. Responsibilities include backend development, infrastructure and monitoring automation, configuration, performance and resilience testing, dashboards, logging, alerting, documentation, quality control, and agile collaboration with UX, product, and engineering teams. The role also involves continuous learning, debugging, root cause analysis, and contributing to application security and operational improvements.