Top Principal Software Engineer Jobs in Los Angeles, CA

Provides technical leadership on complex, high-impact engineering projects from design through launch. The role involves architecture, company-wide initiatives, engineering excellence, mentoring technical leaders, and establishing standards for scalable, reliable, secure, observable systems. The engineer will collaborate across teams, communicate complex technical topics, and apply customer-focused decision-making and A/B testing techniques.

Build and own Arcadia’s internal developer platform across a large-scale data lakehouse and Kubernetes applications. Develop self-service APIs, templates, golden paths, CI/CD capabilities, observability, security controls, and reliability practices. Lead platform migrations, improve developer experience, manage stakeholder needs and costs, set technical direction, and coach senior engineers. The role requires hands-on software development alongside expertise in cloud infrastructure, Kubernetes, networking, infrastructure as code, SLOs, incident response, and platform product management.

Lead the architecture and technical direction of Forward Financing’s core fintech platform. Design scalable distributed backend systems, guide cross-team initiatives, establish engineering best practices, resolve incidents, and mentor engineers. The role owns the technical roadmap and architectural vision while partnering across teams to improve reliability, observability, code quality, and delivery. Ruby on Rails expertise is required, along with strong communication, influence, agile development experience, and a broad backend or full-stack perspective.

Leads the design, development, testing, deployment, modernization, and sustainment of secure web applications supporting manufacturing and operations. Develops with C#, ASP.NET Core, and SQL Server; guides architecture and technical direction; participates in Agile delivery; resolves defects and performance issues; collaborates with stakeholders and cybersecurity teams; and mentors junior and mid-level developers. The role supports legacy .NET modernization, integrations, secure development practices, and mission-critical software solutions.

Design, develop, integrate, verify, and troubleshoot software for embedded, real-time, and ground systems. Apply system requirements to software design, debug issues, and collaborate with systems, digital, hardware, and test engineering teams in an Agile environment. The role requires C/C++, Python, RTOS, Git, and Atlassian tool experience, along with active SCI or qualifying Top Secret clearance and willingness to obtain SCI access.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Designs and maintains large-scale distributed systems on Azure using C# and .NET. Owns backend services, APIs, data access, cloud infrastructure, CI/CD, and operational support. Drives architecture and technical strategy, resolves systemic production issues, collaborates with business stakeholders, and mentors engineers. The role requires extensive experience with Azure, production backend systems, complex codebases, distributed systems, and regulated or domain-heavy industries, with preferred healthcare and life sciences expertise.

Develop and maintain physics-based space and missile defense models, engagement and mission simulations, and analysis tools using Python and C++. Integrate simulations into SIL, HIL, and distributed environments; perform verification, validation, Monte Carlo studies, and data correlation. Collaborate with engineering and government stakeholders on requirements, testing, and technical recommendations. The role requires aerospace or related experience, knowledge of orbital mechanics or missile trajectories, and eligibility for Secret or TS/SCI clearance.

Lead the architecture and evolution of League of Legends’ core game engine and developer tools. Design reliable, scalable, high-performance systems, improve developer workflows, uphold engineering practices, collaborate across disciplines, mentor engineers, document technical decisions, and participate in on-call support. Apply AI-powered tools to improve development productivity and code quality.

Design, develop, and operate highly scalable and resilient Azure VM Scale Set cloud services. Own features from architecture through deployment and operations, solve distributed-systems challenges at hyperscale, and drive reliability, security, performance, disaster recovery, testing, monitoring, automation, and engineering best practices. Collaborate across teams to deliver platform capabilities and customer outcomes.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Own the architecture, implementation, and operational excellence of major Azure Boost DPU software components. Develop low-level systems software spanning operating systems, virtualization, networking, storage, device management, and hardware interfaces. Lead complex cross-functional initiatives, optimize hyperscale performance and reliability, resolve system-level issues, establish engineering practices, influence platform architecture, and mentor engineers across Azure infrastructure teams.

Leads architecture, technical strategy, and roadmap for Windows ML compiler infrastructure, execution runtimes, hardware acceleration, and developer tooling. Drives AI workload optimization across CPUs, GPUs, and NPUs; partners with hardware vendors and internal platform teams; solves complex systems challenges involving scheduling, memory management, code generation, graph optimization, and hardware abstraction. Provides technical leadership and mentorship while shaping on-device and generative AI execution strategy.

Leads software design and development for Windows Core OS services and platforms. Partners with stakeholders to define requirements, identifies dependencies, creates design documents, and mentors engineers in producing maintainable code. Drives cross-product project and release planning, serves as a designated responsible individual, participates in on-call operations, and improves system availability, reliability, observability, efficiency, and performance.

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.

Leads architecture, development, testing, and deployment of hyperscale distributed storage systems optimized for AI and machine learning workloads. Drives innovations in scalability, performance, security, durability, and efficiency; collaborates with AI and cloud infrastructure teams; mentors engineers; and evaluates emerging technologies for AI-native storage.

Principal Software Engineer responsible for cross-cutting architecture, technical roadmap direction, and delivery quality. The role involves developing APIs, databases, UIs, and libraries with C# or JavaScript/TypeScript; guiding AI-assisted development; establishing testing and verification practices; mentoring engineers; improving tooling and workflows; collaborating cross-functionally; estimating work; and participating in on-call support. The position is fully remote with occasional travel.

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 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.

Serves as a principal technical leader across Integrations, Workflows and Orchestration, and Data Management. Designs and modernizes distributed, event-driven backend systems; writes production code; resolves reliability issues; leads incident response; establishes engineering practices; shapes technical roadmaps; evaluates build-versus-buy decisions; documents architecture; mentors engineers; and influences teams and stakeholders without direct authority.

Leads architecture, hands-on software development, deployment, and production issue resolution for strategic customer projects. Drives AI innovation, platform resiliency, security, observability, performance, and operational improvements. Partners with executives, engineering, product, and customer success teams to prioritize strategic programs, improve customer value, share technical best practices, and remove production blockers.

Provides principal-level technical leadership for scalable learning and skilling platforms. Designs architectures, writes and reviews production software, leads full software lifecycles, and applies Azure, AI, Copilot, Power Platform, and custom solutions. Responsibilities include secure integrations, CI/CD, infrastructure as code, testing, observability, production support, Responsible AI, reusable components, cross-team technical alignment, and engineering mentorship.

Develops high-quality software and AI-powered prototypes for national security missions. Responsibilities include architectural design, feature development, automated testing, backlog grooming, sprint execution, API and SDK development, integration debugging, and research involving LLMs, embeddings, and smaller trained models. The engineer independently leads focused efforts while collaborating with product and engineering teams, using modern DevSecOps and CI/CD practices.

Lead the technical direction, architecture, development, testing, and global deployment of NVIDIA’s AI agent compute and virtual desktop platforms. Build secure, isolated, cloud-hosted compute services across AWS and Azure, and drive desktop streaming performance for GPU and general-purpose workloads. Partner with engineering, IT, and security leaders to develop a multi-year platform roadmap supporting AI agents and end users.