Top Remote Engineering Jobs

Designs and engineers automated internal audit workflows that enable continuous assurance. Responsibilities include re-engineering audit processes, orchestrating AI agents, developing prompt and agent libraries, integrating Power Automate and GRC platforms, automating document and population testing, creating real-time risk dashboards, and ensuring AI governance, privacy, explainability, and human validation. The role requires technical audit transformation experience, LLM orchestration, automation platforms, SQL or Python, data governance, and data warehouse expertise.

Own complex network, security, identity, endpoint, SaaS, and infrastructure escalations. Design and troubleshoot enterprise networks, lead security and major incident response, review technical changes, support deployments, improve monitoring and documentation, create standards and playbooks, mentor Tier 1 and Tier 2 engineers, and provide technical leadership to clients and internal stakeholders. The role includes on-call participation, client-site support, and approximately 10–20% travel.

Design and optimize passive and active silicon photonic components from simulation through layout, foundry tapeout, and characterization. Perform electromagnetic and multiphysics simulations, analyze wafer-level measurement data, develop manufacturable designs, and collaborate with layout engineers, system-level PIC designers, and foundry partners. The role focuses on improving optical performance, fabrication tolerance, bandwidth, crosstalk, insertion loss, and power consumption for LiDAR and optical switching applications.

Develop and maintain full-stack applications using Vue 3, Nuxt, JavaScript, Node.js, Firebase, Firestore, and Google Cloud Platform. Build APIs, microservices, integrations with AI and marketing platforms, payment systems, and cloud services. Troubleshoot UI, database, deployment, and API issues; write tests; and collaborate remotely with the CTO and development team. This is a part-time, equity-based startup opportunity requiring approximately 20 hours weekly.

Build and maintain Java backend services, REST APIs, and full-stack web application features. Develop frontend functionality with modern JavaScript frameworks, use Python for supporting work, and leverage AI coding tools such as Claude Code. Write tests, debug issues, support deployment and maintenance, and collaborate on design decisions, code reviews, and application quality improvements.

Develop and deploy motion planning software for autonomous trucks. Own features end-to-end, from design and integration through testing and validation, while solving complex vehicle-behavior challenges. Build high-performance modern C++ and Python for resource-constrained platforms, collaborate across autonomy and systems teams, shape architecture and roadmaps, and use simulation and unit testing to ensure safe, reliable trajectories.

Provides Level 2 technical support, network and systems implementation, troubleshooting, client escalation management, documentation, and project engineering for small and midsize business clients. Configures and supports Apple, Windows, cloud, networking, security, backup, and remote-management technologies. Maintains tickets, reports, technical documentation, certifications, service-level performance, and customer satisfaction while participating in on-call and onsite support as needed.

Leads distributed engineering teams developing and operating the Sensei Cloud SaaS platform. Responsibilities include people management, hiring, delivery predictability, platform quality and reliability, automated testing, incident response, technical design reviews, AI-assisted engineering adoption, security guardrails, and collaboration with Product, architects, executives, and partner teams across multiple regions.

Develop and launch scalable full-stack Quora features using Python and React. Collaborate with designers, product managers, engineers, and data scientists to improve user engagement, moderation, creator experiences, and AI-powered content. Use experimentation and data to guide product iterations, contribute across the development lifecycle, and participate in on-call support for reliable service delivery.

Architects and deploys secure, scalable AWS cloud, data, and generative AI solutions for enterprise clients. Leads cloud migrations, legacy modernization, Infrastructure as Code, CI/CD, serverless and containerized implementations, and GenAI workloads using Bedrock and SageMaker. Acts as a client-facing technical leader, presents to executives, builds proofs of concept, identifies cloud expansion opportunities, and mentors engineers while developing reusable delivery accelerators and best practices.