Top Remote Principal Software Engineer Jobs

Lead architecture and development of high-performance, scalable backend systems for Yahoo Mail using Java and C++. Set technical strategy, establish architectural standards, validate AI-generated code, mentor senior engineers, collaborate cross-functionally, and ensure reliability through automated logging, telemetry, and debugging workflows.

Lead a small AI-First engineering team to design, orchestrate, and verify agent-driven development workflows. Define agent toolchains, context engineering, and governance; architect full-stack applications; enforce multi-layer verification and automated QA; mentor engineers; optimize token/cost; and continuously improve AI-assisted SDLC practices and standards.

Design, implement, and operate cloud-scale telemetry platforms and data pipelines for Azure Monitor. Lead cross-team architecture, mentor engineers, improve AI-enabled development practices, ensure security/compliance, and resolve complex production incidents.

Lead teams building, deploying, and operating Azure services in regulated specialized cloud environments. Own service lifecycle from design through live-site reliability, security, compliance, automation, CI/CD, telemetry, incident response, architecture, and people management. Drive AI/GenAI adoption in the SDLC and coordinate cross-team operational readiness and compliance.

Lead design and delivery of scalable, secure backend services and REST APIs for authentication and identity platforms. Provide technical leadership, architecture guidance, code reviews, and mentor engineers. Drive reliability, zero-downtime deployments, observability, and adoption of AI coding tools while partnering with Product, Security, and Platform teams to ship production-grade features.

Lead technical strategy and architecture for Azure Storage geo-replication, data protection, failover orchestration, and business continuity. Drive cross-team delivery, operational excellence, telemetry, automation, AI-assisted operations, and represent the team in executive and customer engagements.

Design and evolve distributed search and analytics systems for the Splunk platform. Lead complex engineering efforts from design through delivery, improve performance and reliability, mentor engineers, collaborate cross-functionally, and work with customers to resolve production issues.

Design, implement, and ensure quality of systems stack, tools, and SDK integration for AI frameworks. Collaborate with hardware and ML teams, apply engineering principles, write low-level/high-performance code, define architecture, estimate scope, and drive coding standards.

Lead architecture and delivery of scalable, distributed SaaS systems, drive cross-organizational technical standards, prototype new technologies, ensure production excellence, mentor engineers, and influence strategic engineering decisions.

Lead design and implementation of advanced systems features for Postgres, focusing on performance optimization and scalability. Mentor engineers and drive architectural direction for large-scale database systems.

The Azure Principal Software Engineer will lead client engagements, manage large-scale technical projects, and provide expertise on Azure solutions, focusing on both clients and project teams.

The Principal Software Engineer will lead the technical strategy for high-concurrency services, oversee backend design, integrate AI, and ensure operational excellence at Cars Commerce.

The Principal Software Engineer leads a team to develop full-stack real-time applications, integrates machine learning models, and influences software architecture in cloud environments while supporting healthcare analytics.

Founding Principal Software Engineer building an AI-first platform for life sciences safety, regulatory, and clinical development. Own full feature lifecycle from design to production, drive technical solutions, mentor engineers, define engineering best practices, and contribute daily to production Python code using modern open-source tools (FastAPI, Pydantic, Git).

Founding member building an AI-driven life sciences SaaS platform. Own features end-to-end from design to production, contribute daily code, collaborate with product, perform expert code reviews, define engineering best practices, and mentor engineers to grow the team and deliver scalable, high-volume solutions.

Lead design, build, deploy, and support a new AI-driven enterprise SaaS platform. Own features end-to-end, drive technical designs, mentor engineers, enforce best practices, perform expert code reviews, and ship scalable production Python services with AI-assisted engineering workflows.

Join a talent network connecting principal front-end, back-end, and full-stack engineers with VC-backed startups. Drive technical strategy and architecture, build scalable applications, design APIs and cloud-native microservices, optimize performance/security/reliability, lead code review and CI/CD practices, and mentor engineering teams while aligning technology with business goals.

Join a talent network connecting principal front-end, back-end, and full-stack engineers with VC-backed startups. Responsibilities include driving technical architecture, building scalable full-stack applications, designing APIs and cloud-native services, optimizing performance and reliability, leading deployment and CI/CD best practices, and mentoring senior engineers while aligning technical decisions with product and business goals.

Lead backend technical strategy and hands-on implementation to migrate on-prem systems to Azure, decompose a .NET monolith into service-based architecture, define data models and API contracts, ship customer-facing features with CI/CD and observability, and mentor engineers across the cross-functional Platform team.

Lead architecture and technical strategy across an infrastructure platform ecosystem. Drive hands-on architectural improvements to graph engine and backend services, reduce technical debt, establish standards, champion AI-first engineering practices, run architecture/code reviews and mentorship, and collaborate with product and leadership to ensure scalable, extensible systems.

Architect and build AI-native production systems across a multi-language stack, design offline and online evaluation frameworks for LLMs, monitor live model behavior and drift, lead architecture reviews, mentor senior engineers, and prototype and ship AI capabilities while ensuring reliability and correctness in a regulated domain.

Lead technical strategy and architecture across teams, resolve cross-system issues, mentor engineers, participate in on-call rotations, build production-grade full‑stack software, and ensure scalability, reliability, security, and cost-efficiency of cloud systems.

Lead design, development, and support of enterprise infrastructure and services. Drive architecture discussions, prototypes, capacity planning, and system launches. Troubleshoot performance, collaborate across teams and open-source communities, document solutions, and support on-call rotations to ensure reliable, scalable cloud and Linux-based systems.

Design, implement, and operate production-quality AI framework components, benchmark and optimize large model training and inference across GPUs and Microsoft hardware, build automation and observability, drive cross-team projects from definition to deployment, and provide technical leadership and mentorship for improvements in performance, reliability, and model onboarding velocity.

Lead architecture, integration, installation, upgrade, and enterprise implementation of Privileged Access Management tools (CyberArk, Entra, BeyondTrust). Design and code complex software solutions, align business strategy with technology, provide technical guidance, and lead problem-solving and documentation for PAM initiatives.