Top Remote Software Engineer Jobs

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.

Leads engineering teams developing cloud platform products for agentic workloads. Owns product delivery from roadmap through production, guides cloud-native architecture on Google Cloud and GKE, establishes reliability, observability, security, governance, and self-service workflows, and partners with product, UX, architecture, and reliability teams. Manages and develops engineers, supports production systems, participates in incident response, and advances AI-assisted software development practices.

Remote Software Engineer responsible for implementing and supporting Informatica data governance solutions, including Axon, EDC, IDQ, and IICS. The role involves API integrations, workflow automation, data modeling, metadata management, data lineage, enterprise information management, relational databases, cloud data platforms, and project delivery. Candidates must collaborate effectively, resolve conflicts, analyze complex information, meet deadlines, and apply data governance practices, including consideration of privacy regulations.

Lead end-to-end development of reliable care-agent tooling and software services integrating contact-center platforms with backend systems. Own architecture, performance, security, production operations, and technical direction while partnering with product, care operations, QA, and engineering teams. Translate operational workflows into scalable solutions, mentor engineers, and improve tools using agent feedback, operational metrics, and AI-assisted development practices.

Build and scale backend systems, APIs, infrastructure, and applications for multimodal sensing and AI intelligence platforms. Responsibilities include processing sensor, audio, video, and environmental data; supporting data pipelines and model inference; ensuring reliability, scalability, and data integrity; and contributing to engineering standards and long-term technical strategy.

Lead technical vision and strategy for Affirm’s Cards backend engineering organization. Architect scalable and reliable platforms, guide cross-team initiatives, champion AI adoption and engineering excellence, influence technical roadmaps, and mentor engineers through Staff level. The role requires strong architectural expertise, organizational leadership, project management, communication, and cross-functional collaboration.

Own complex software systems and critical workflows end-to-end while ensuring reliability, performance, security, and maintainability. Lead architectural decisions, mentor engineers, manage incident response, improve system health, and communicate effectively with technical and non-technical stakeholders. The role requires extensive Ruby on Rails, AWS or equivalent cloud infrastructure, Linux production operations, frontend development, relational databases, testing, CI/CD, and observability experience.

Designs and delivers SDKs and command-line interfaces for cloud GPU services. Responsibilities include defining requirements with partners and cross-functional teams, shaping technology and implementation methods, writing high-quality tested code, performance tuning, usability improvements, automation, maintenance, and documentation. The role focuses on distributed computing, highly available microservices, and cloud platforms supporting deep learning and AI.

Develop and debug production-grade full-stack applications across front-end and back-end systems. Build features, APIs, databases, and data models; troubleshoot end-to-end issues; analyze unfamiliar codebases; translate implementations across programming languages; and review AI-generated and developer-written code for correctness, security, scalability, performance, and maintainability.

Develop and evaluate coding tasks for AI systems, including bug fixes, feature development, refactoring, optimization, reproducible environments, reference solutions, automated testing, and deterministic evaluation. The role also involves debugging complex codebases, reviewing contributions, documenting technical decisions, and refining evaluation criteria. Candidates should have strong software engineering fundamentals, backend or API development experience, open-source contributions, and proficiency in at least one listed programming language.

Build and ship end-to-end memory and search experiences across Claude products, from backend services and retrieval infrastructure through model tools and user interfaces. Run user-facing experiments, improve retrieval relevance and ranking, define product metrics and evaluations, and ensure privacy, consent, enterprise controls, latency, reliability, and product quality. Collaborate closely with product, design, legal, privacy, and safeguards teams while participating in on-call responsibilities.

Lead technical execution and architecture for the Loyalty product. Own roadmap, design distributed services and APIs, ensure reliability/observability, integrate with ZMP and AthenaOS, build and coach engineering teams, and drive cross-team delivery of scalable multi-tenant loyalty capabilities.

Own and deliver backend lakehouse infrastructure goals, lead engineers through complex problems, and build highly available distributed data systems. Collaborate with product, design, analytics, and engineering stakeholders; define scalable technical solutions; improve code quality and engineering standards; monitor operational health; support on-call responsibilities; and mentor team members.

Build and maintain secure, scalable APIs and infrastructure for an AI-powered fintech platform. Develop features across the stack, integrate third-party APIs, deploy infrastructure with Terraform, apply compliance and security practices, and support customers as a technical point of contact. The role involves close collaboration with the CTO in a greenfield, early-stage startup environment.

Design and scale foundational APIs and backend services for LogicGate’s multi-tenant GRC platform. Build distributed systems using Java/Kotlin, Spring Boot, AWS, databases, caching, and messaging technologies. Improve reliability, observability, performance, testing, and CI/CD practices. Lead technical design reviews, collaborate cross-functionally, mentor engineers, and use AI coding tools to improve development efficiency.

Set technical direction for Toast’s Developer Experience platform, including local development, build tooling, shared libraries, testing frameworks, and developer portals. The role combines hands-on software engineering with architecture, cross-team technical leadership, AI-assisted development, developer productivity measurement, mentorship, and roadmap prioritization.

Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve reliability, performance, observability, fault tolerance, and security, and participate in on-call and incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews and documentation.

Unpaid software engineering internship focusing on full-stack web development with TypeScript, Next.js/React and Node/Express. Work on front- and back-end features, responsive UI with Tailwind, animations with Framer Motion, PostgreSQL and MongoDB integration, REST APIs, microservice-based architecture, code reviews, debugging, and product planning in a remote-first startup.

Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve performance, observability, reliability, fault tolerance, and security, and participate in on-call incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews, documentation, and guidance.

Design and implement high-performance networking code for Zscaler Client Connector using Rust and platform-native APIs. Build testable, documented foundations across desktop platforms, debug complex networking and security issues, and contribute to major development projects. Collaborate with product managers and cross-functional teams to deliver customer-impacting features while addressing scale, performance, quality, and security requirements.

Develop scalable Java-based distributed systems for BILL’s Growth team, focusing on customer acquisition, activation, onboarding, and product expansion. Build high-performance SaaS applications using AWS services, SQL and NoSQL databases, Gradle, and CI/CD pipelines. Collaborate with feature teams and product managers while applying generative AI and LLM technologies to accelerate engineering workflows.

Develop, test, maintain, debug, and support full-stack software across development, testing, and production environments. Build proofs of concept, evaluate technologies, collaborate with developers, designers, and stakeholders, and contribute to usability and user experience decisions. The role also involves production reliability, technical decision-making, adherence to development best practices, and independently managing priorities in a remote environment.