Top Remote Principal Software Engineer Jobs in Chicago, IL

Lead design and implementation of core platform infrastructure for an Agentic AI platform. Build high-performance Rust systems, support production deployments, collaborate with ML engineers, design scalable data architectures, troubleshoot performance and scalability issues, and cultivate a collaborative, inclusive engineering culture.

Lead remote engineering teams to design, architect, and deliver scalable, high-availability education technology platforms focused on content systems, workflows, and GenAI. Drive product and technical strategy, collaborate with product/design, implement cloud-native architectures, adopt agile practices, measure performance through data and testing, and continuously improve user engagement and platform reliability.

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 architecture and implementation of large-scale, elastic Pub/Sub and messaging services. Define scalable, reliable designs, mentor engineers, drive CI/CD and testing strategies, manage incidents, partner with PMs/EMs, and advance AI tooling across the SDLC to enable real-time analytics and integrations.

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

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

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 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 and deliver large-scale, cloud-native and AI-enabled Kubernetes/AKS solutions. Implement, optimize, and maintain Kubernetes components and container orchestration across Azure, on-prem, and edge. Integrate AI capabilities, participate in on-call rotations, mentor engineers, and collaborate cross-functionally to improve reliability, observability, performance, and operational consistency at scale.

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.

Lead design and implementation of Azure full‑stack, scalable skilling platform features. Drive CI/CD, reliability, automation, and AI/LLM-enabled capabilities. Mentor engineers, enforce engineering best practices, coordinate cross-team dependencies, and improve test automation and observability for enterprise-scale services.

Design and deliver large-scale, resilient AI and Kubernetes infrastructure for hybrid environments. Implement, optimize, and maintain cloud-native, container orchestration solutions; integrate AI capabilities; participate in on-call rotations; mentor engineers and drive reliability, observability, and performance at scale.

Design, implement, and maintain high-quality, highly available microservices for Azure Messaging and Fabric. Drive AI adoption to improve development practices, optimize system IO and performance, and lead innovation in product and engineering processes while following rigorous development and security screening practices.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

Work on end-to-end AI performance for LLMs: benchmark and optimize inference on GPUs and Microsoft silicon, build tooling for performance insights and model porting, implement and test components in AI/DNN frameworks, and collaborate with internal and external partners to reduce hardware footprint and accelerate deployments.

The Senior Principal Product Architect leads the architecture of Workload Automation and DevOps solutions, focusing on automation technologies, hybrid cloud environments, and mentoring teams to modernize software engineering processes.

Lead the technical roadmap and design for Marqeta's core issuing and processing platform. Drive high-impact initiatives to improve performance, reliability, scalability, and cost-efficiency. Write, review, and optimize code across the stack, partner with product, mentor technical leads, and evangelize best practices for resiliency, security, and multi-region systems.