Top Remote Principal Software Engineer Jobs

Lead technical architecture and hands-on implementation of IAA's Azure-based data platform. Design and build scalable, production-grade data pipelines, semantic models, and data products for BI, analytics, forecasting, and ML. Define standards, mentor engineers, resolve performance and scalability challenges, and drive platform strategy across Fabric, Synapse, Power BI, and related Azure services.

Lead zero-to-one product development for AI-native web applications: shape product and technical direction, ship full-stack prototypes rapidly, integrate foundation-model APIs and RAG, collaborate cross-functionally, make architecture and tooling decisions, and iterate from user feedback toward venture-level outcomes.

Lead platform strategy, architecture, and hands-on development. Design, build, deploy, and operate high-performance, fault-tolerant integrations and platform enhancements. Drive security/compliance, mentor engineers, recruit senior talent, align technology with business goals, and communicate technical vision to stakeholders.

Own end-to-end development of storage management and automation tools: design and implement Python CLI and libraries, extend Ansible Collection modules, maintain containerized services, manage multi-distribution packaging and GitLab CI/CD, investigate field exceptions, and validate/promote releases across heterogeneous host and hypervisor environments.

Design and implement scalable full-stack solutions for institutional platforms. Lead API and microservices design, cloud (AWS) deployments, CI/CD and DevSecOps, collaborate with product and QA, troubleshoot production, and mentor distributed teams.

Design, architect, and build enterprise Java microservices and APIs; lead technical delivery, mentor engineers, implement cloud-native and CI/CD practices, design database schemas and PL/SQL, and develop blockchain/digital-asset solutions including smart contract work and lifecycle integration in financial services.

Lead technical vision and architecture for Dockers Developer Tools: build a self-service internal platform, CI/CD and build systems, integrate AI/LLM agents, set SDLC tenets, establish standards for observability, security, reliability, and productize internal tooling into customer offerings.

As a Principal Software Engineer, you will enhance AI infrastructure with Kubernetes for GPU clusters, focusing on reliability and monitoring while collaborating across teams.

Lead development of planet-scale mapping systems from crowdsourced fleet data. Design and implement 3D reconstruction, SfM, pose estimation, sensor fusion, map fusion, change-detection, and production C++ pipelines. Build evaluation, visualization, and debugging tools, and collaborate with perception, localization, and planning teams to integrate high-quality maps into autonomous driving systems.

Lead technical direction for a major product domain, reduce architectural debt, mentor engineers, standardize AI-agent workflows, and design scalable backend solutions integrating LLMs and cloud services. Drive cross-team RFCs, cookbook standards, and adopt agentic AI tooling while balancing security, quality, and delivery.

Lead end-to-end design, development, and quality of enterprise cloud solutions. Estimate costs, define quality criteria, implement complex systems, manage engineering processes, risks, and dependencies, and mentor teams. Serve as technical lead across large, cross-functional projects to deliver measurable, user-centric healthcare technology solutions.

Lead frontend technical direction for the Trellis design system: design and build a production component library, define accessibility and theming models, create tooling and migration pipelines (codemods, refactoring automation), leverage AI coding agents, mentor senior engineers, and partner with PM/UX to drive frontend architecture and adoption across product teams.

Lead architecture and evolution of Cardlytics' AWS-based data compute platform and lakehouse. Define standards for batch, streaming, ML, and AI workloads; build semantic layer, feature store, and governance. Partner with analysts and engineers, drive CI/CD (Terraform, GitHub Actions), monitoring, security, cost governance, and incident response while mentoring teams and shaping platform strategy.

Design, build, and maintain a secure, high-performance browser extension (Manifest V3) for Chrome/Edge and major browsers. Implement secure interactions with web content and backend services, optimize reliability, collaborate with endpoint and backend teams, and stay current on browser APIs and security standards.

Drive architecture and technical vision for Elasticsearch core storage and query engine. Lead performance and storage-efficiency improvements, design indexing/serialization/data layouts, mentor engineers, coordinate cross-organizational initiatives, triage community issues, and write idiomatic modern Java for logs and metrics workloads.

Lead architecture and build Aura's AI Intelligence Platform, unifying data and enabling AI agents to reason over sensitive information. Own end-to-end initiatives, prioritize security and privacy, design scalable distributed systems on AWS using Python and TypeScript, and set engineering best practices while mentoring engineers without direct reports.

Lead architecture and implementation of high-performance vector search and semantic retrieval across Azure data products. Mentor engineers, collaborate with research teams, ensure scalability, testability, performance, and production readiness of libraries and embeddings-based solutions.

Lead technical vision and architecture for AI frameworks, performance, benchmarking, and tooling. Drive cross-team alignment, mentor engineers, ship high-performance distributed software, and improve model onboarding, runtime performance, reliability, and Azure hardware efficiency.

Lead design and delivery of cloud and AI production systems, partner with stakeholders to translate needs into architecture, ensure security and quality, mentor engineers, and drive customer adoption and scalable reusable solutions across engagements.

Lead architecture and engineering for Azure core platform: define technology requirements, resolve cross-team issues, drive systemic reliability/performance improvements, mentor engineers, support on-call operations, and apply AI/ML to cloud operations.

Lead technical strategy and architecture for an AI Data Engine to accelerate ML dataset generation and data warehouse operations. Hands-on staff engineer mentoring engineers, designing scalable storage, vector retrieval, LLM/agentic workflows, and collaborating with ML research and platform teams to deliver petabyte-scale data solutions.

Lead integration of AI/LLMs into enterprise SaaS and desktop products, evangelize AI-first practices, design and implement scalable .NET/C# backends, modernize legacy architectures, mentor engineers, and collaborate with product and QA across the full development lifecycle to deliver AI-enabled features and agentic workflows.

Work with customers and cross-functional teams to design, build, and deliver cloud-based solutions. Lead design, identify dependencies, mentor engineers, act as DRI and on-call, and improve availability, reliability, observability, and performance. Contribute to open-source assets and collaborate with Microsoft product teams to produce extensible, maintainable code and scalable solution patterns.

Lead architecture and technical strategy for client-facing web and mobile platforms. Build and scale developer platforms, robust APIs, CI/CD, and AI-enabled tooling. Mentor engineers, influence product and business direction, represent engineering at exec level, and ensure platform reliability and scalability.

Lead design and implementation of scalable, secure Forma Data cloud services. Act as technical lead across full software lifecycle, write and operate cloud services, mentor engineers, solve complex distributed-system problems, and collaborate globally to integrate SaaS products with Autodesk tools.