Top Remote Software Engineer Jobs

Build and operate end-to-end, consumer-scale features across backend services, APIs, iOS, and Android for Life360’s Aging in Place vertical. Use AI-native and agentic workflows with LLMs, contribute to architecture and code reviews, participate in on-call response, mentor teammates, and establish AI engineering practices adopted across the organization. Collaborate with product and design while ensuring performance, reliability, accessibility, and member-focused outcomes.

Principal Software Engineer responsible for technical direction across customer-facing online experiences. Designs scalable, secure software, reusable architecture, APIs, observability, automation, and resilient production systems. Partners with product, UX, and engineering teams; supports production services, defines reliability objectives, tunes performance, leads testing and incident response, and mentors engineers. The role also applies generative AI and AI-assisted development practices across the product lifecycle.

The Lead Rust Software Engineer will design and build scalable applications, mentor teams on Rust, and contribute to complex product development.

Develop and maintain high-scale JavaScript and TypeScript monetization solutions for publisher websites. Own Freestar’s Prebid.js and Prebid Server header-bidding wrapper, including architecture, adapters, modules, releases, and performance. Integrate with Google Ad Manager, GPT, IMA SDK, and programmatic advertising systems. Monitor Core Web Vitals, reliability, and network performance while reviewing code, resolving critical issues, and guiding technical decisions.

Own and evolve cybersecurity platform integrations, parser frameworks, data normalization, and microservice-based solutions. Design secure APIs, process security logs from diverse sources, and ensure ingested data supports detection and analytics. Drive architecture decisions, improve framework reliability, mentor engineers, and use AI tools to accelerate development, testing, parsing, automation, and operational workflows.

Own the architecture and technical direction of Zocdoc’s Provider Engagement Platform. Design data pipelines, real-time practice intelligence systems, APIs, and ML integrations that power personalization and recommendations. Lead complex cross-team initiatives, make infrastructure decisions, ship production code using C#, React, and AWS, and mentor engineers while promoting strong engineering, testing, and observability practices.

Own end-to-end features across a TypeScript, Next.js, React, Prisma, PostgreSQL, and AWS stack. Build and operate LLM-powered healthcare experiences, including retrieval, structured extraction, tool use, evaluations, tracing, and observability. Advance AI-assisted development practices while maintaining code quality, testing, reliability, and security for sensitive health data. Collaborate with design, clinical, and partner-facing teams, review code, and mentor engineers.

Lead the design, development, testing, and maintenance of secure software tools and platforms supporting more than 50,000 developers. Responsibilities include code reviews, debugging, performance optimization, architectural planning, documentation, production support, adoption of AI-assisted development tools, and mentoring engineers. The role also drives engineering communities of practice and ensures developer tooling complies with enterprise security, resiliency, and policy standards.

Owns the end-to-end development of iOS monetization experiences, including paywalls, pricing, subscriptions, upgrades, and purchases across global storefronts. Partners with product, design, analytics, finance, and legal to prototype, experiment, launch, and optimize reliable consumer-scale features. Responsibilities include architecture, performance optimization, staged rollouts, code reviews, mentoring, and advancing AI-native engineering practices.

Build and maintain responsive web experiences, PWAs, and native-feeling mobile apps; design secure APIs and third-party integrations; develop conversational AI bots and support automation; implement ad-tech, segmentation, push notifications, analytics, and A/B testing; and optimize performance, reliability, and uptime. The role requires full-stack development, cloud and DevOps fundamentals, and collaboration in a fast-paced startup.

Leads design, implementation, deployment, and operation of software and infrastructure for Azure AI services in air-gapped and sovereign cloud environments. Works across codebases, networking, identity, and infrastructure; builds automation, deployment tooling, observability, and release validation; troubleshoots complex production issues; participates in on-call rotations; mentors engineers; and coordinates cross-team technical delivery for secure government workloads.

Lead the technical direction and architecture for Windows and macOS client software and its cloud integrations. Own synchronization, local state, reliability, secure protocols, enterprise identity, encrypted search, performance, diagnostics, testing, and release standards. Drive multi-team initiatives, make organization-wide architectural decisions, mentor senior engineers, represent engineering with customers and executives, and remain hands-on with critical software development.

As a Sr. Software Engineer at Bloomerang, you will lead technical direction, mentor engineers, and enhance SaaS solutions while utilizing .NET and AI tools. You will ensure scalable, maintainable applications, advocate for Agile workflows, and focus on quality outcomes in software development.

Develop and maintain automated integration and deployment for components in a Kubernetes-based software stack. Manage third-party dependencies, validate compatibility, maintain integration workflows, troubleshoot cross-component issues, and ensure compatibility with NVIDIA hardware. The role requires extensive Linux software development experience, Python proficiency, Kubernetes and container expertise, and collaboration with QA, CI/CD, development teams, and upstream projects.

Build and scale NVIDIA’s AI infrastructure platform for GPU provisioning, configuration, lifecycle management, monitoring, health management, and distributed-system qualification. Develop automation for data center operations and machine learning systems, integrate hardware through AI applications, and work with GPU diagnostics, cluster and network telemetry, Kubernetes or SLURM, Linux, and fault-tolerant distributed architectures.

Leads full-stack software development projects, architects and maintains applications, resolves complex technical challenges, mentors engineers, and makes technical decisions in Scrum. Collaborates with business analysts and cross-functional teams to deliver solutions aligned with user and business needs. Oversees documentation, workflow processes, performance improvements, and adoption of relevant technologies. Requires experience with Microsoft platforms, SQL Server or similar DBMS, cloud networking, large-scale production systems, and preferably pharmaceutical, biotechnology, CRO, or imaging CRO environments.

Builds and leads development of a Cloud FinOps platform for multi-cloud cost optimization. Responsibilities include designing, testing, deploying, maintaining, monitoring, and optimizing production software; contributing to architecture and reusable code; supporting product and engineering teams; participating in Agile planning; and mentoring junior engineers. The role uses Go, React, TypeScript, Python, BigQuery, Terraform, GCP, Azure, and related cloud services.

Build and scale Airbnb’s AirChatUI AI prototyping harness and native macOS/iOS applications. Lead architecture and implementation across web prototyping, iOS deployment, AI agent integrations, AirChat tooling, and Kyber platform integration. Develop declarative UI features, collaborate with infrastructure, product, security, and design teams, and establish scalable iOS patterns. Enable designers and product managers to create production-oriented prototypes while maintaining quality, accessibility, performance, availability, and release standards.

Develop and review high-performance Java software for cloud-native payment infrastructure. Lead the software development lifecycle, define sprint goals, support product launches, ensure operational stability and security, and provide technical leadership and mentorship. Collaborate with product managers, architects, stakeholders, and clients to align solutions with business and regulatory requirements. Document architecture, create developer guides, and support knowledge transfer.

Leads technical strategy, architecture, and implementation for scalable clinical research software, data pipelines, and AI systems. Owns product-line architecture, resolves complex distributed-systems challenges, drives reliability, security, observability, and operational excellence, and mentors senior engineers. Builds information extraction and agentic AI applications, data modeling and processing pipelines, evaluation frameworks, and cost-efficient inference orchestration. Partners across Product, QA, Data Science, Architecture, Infrastructure, Cloud, and Support to deliver reliable, maintainable systems.

Develop and maintain semiconductor equipment automation and MES integrations using SECS/GEM, SEMI standards, Ignition, Python, REST APIs, and databases. Design equipment-to-host interfaces, station controllers, finite-state workflows, data collection, tags, and web or desktop applications. Validate MES processes, support SPC software, debug and host applications, and work with hardware and semiconductor manufacturing systems. The role also requires strong analytical, communication, leadership, project management, and application ownership skills.

Develop and operate reliable AI-powered backend systems for regulatory workflows. Translate customer problems into simple solutions, collaborate with Product and Design, write performant Python and Django code, and manage technical complexity across product projects. The role requires production Django experience, hands-on LLM integration without abstraction libraries, and the ability to move from experimentation through testing and production delivery.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

Lead a small software engineering team supporting intelligence workflows. Build and maintain full-stack web applications, automate workflows, develop agentic AI tools, integrate data across agency elements, and support highside services. Engage directly with customers, leadership, analysts, and developers to understand mission needs, gather feedback, implement solutions, and deliver analytic and workflow support. Responsibilities also include relational database work, pipeline data processing, and cross-domain solution development.

Evaluates AI-generated software code for correctness, quality, architecture, and debugging performance. Creates challenging coding problems, reference solutions, and test cases, then reviews model reasoning and provides detailed technical feedback to improve AI performance on real-world software engineering tasks.