Top Remote C++ Jobs in San Diego, CA

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.

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.

Design and evolve cloud-native services, distributed systems, and infrastructure platforms at scale. Lead architecture and technical direction across compute, networking, storage, AI infrastructure, HPC, GPU environments, and datacenter systems. Improve automation, observability, reliability, security, CI/CD, and developer productivity while collaborating across engineering organizations. Mentor engineers and contribute to architecture reviews and operational excellence for large-scale production platforms.

Develop and maintain high-reliability, high-throughput backend systems for managing security certificates and configurations. Responsibilities include designing scalable systems, building features, optimizing performance, working with relational and NoSQL databases, and collaborating with testing and SQA teams on deployments. The role requires project-based experience with Java, Spring, Spring Boot, Angular, Terraform, SQL, Linux/Unix, and database technologies.

Develop GPU code generation and compiler optimizations for TensorRT to improve generative AI inference performance. Responsibilities include operator fusion, scheduling, specialization, profiling, debugging, numerical validation, and performance analysis. The role requires C++ software development and GPU architecture expertise, with collaboration across hardware, compiler, kernel, and deep learning teams. Preferred experience includes CUDA, MLIR, GPU kernels, Tensor Core optimization, inference frameworks, and low-level NVIDIA performance tools.

Develops maritime route optimization, vessel performance modeling, voyage analysis, simulation, and evaluation software for government and defense customers. The role improves optimization algorithms, models fuel consumption and operational constraints, builds explainable route recommendations, and collaborates with engineers and maritime specialists. Work spans Rust, Python, APIs, testing, algorithms, and production software supporting U.S. Government maritime applications.

Build and operate Linux and Kubernetes infrastructure for Azure Front Door’s globally distributed edge fleet. Design, implement, validate, and deploy platform capabilities; optimize performance, reliability, scalability, security, and operations; investigate production issues; develop automation and engineering tools; and provide technical guidance through reviews and knowledge sharing.

Develop secure native iOS applications for identity and access management products. Build intuitive interfaces using SwiftUI, UIKit, and Storyboards; apply scalable architecture and concurrency patterns; and collaborate with engineers and security experts. Responsibilities include implementing mobile security features, secure networking, cryptography, release pipelines, performance optimization, and app hardening while taking ownership of complex technical challenges.

Design, build, operate, and maintain large-scale distributed telemetry systems for Grafana Cloud and open-source projects. Deliver features from concept through production, improve reliability and performance, participate in design reviews and on-call rotations, contribute to roadmap decisions, and collaborate remotely with engineers. The role focuses on Go-based cloud services running on Kubernetes across AWS, GCP, and Azure, with observability, DevOps, and customer-focused software development responsibilities.

Design, build, operate, and maintain highly available distributed telemetry systems for Grafana Cloud and open-source projects. Deliver features end to end, improve reliability and performance, review code and designs, manage releases, participate in follow-the-sun on-call rotations, and collaborate remotely with teammates and customers. Work primarily with Go across Kubernetes-based cloud infrastructure and observability systems such as Mimir, Loki, Tempo, and Pyroscope.

Develop and optimize resilient, large-scale cloud services supporting AI training workloads. Design Kubernetes-orchestrated microservices, APIs, job submission abstractions, lifecycle automation, checkpointing, telemetry, and failure recovery systems. Collaborate on distributed systems spanning cloud and on-premises AI clusters, integrating with NVIDIA resiliency infrastructure and HPC platforms. The role requires backend development experience, cloud and container expertise, and familiarity with AI frameworks, schedulers, GPUs, and high-performance computing.

Build and operate scalable database systems for an AI-native, multi-tenant SaaS data platform. Responsibilities include ingestion, query planning, distributed query execution, storage and data formats, retrieval APIs, tenant isolation, usage tracking, observability, and service reliability. The role requires architectural ownership, pragmatic experimentation, cross-functional collaboration, and production delivery across cloud-native environments.

Leads a multidisciplinary engineering team delivering production-ready customer solutions through a Forward Deployed Engineering model. Responsibilities include portfolio and delivery leadership, coaching software engineers, technical program managers, and data scientists, serving as a player-coach, improving engineering practices, and applying responsible AI and LLM capabilities to customer engagements. The role includes customer collaboration, end-to-end solution delivery, and up to 25% travel.

Lead the DevOps team for WWE 2K by defining technical strategy and building reliable development and production infrastructure. Responsibilities include designing CI/CD pipelines, deployment automation, cloud and containerized environments, developer tooling, observability, documentation, and operational standards. The role also requires cross-team collaboration, technical leadership, and improving workflows across a distributed game development studio.

Leads performance engineering across the organization by designing load-testing and data-generation frameworks, defining benchmarks and standards, analyzing application, database, and system behavior, and guiding teams in performance optimization. Builds reusable tooling and best practices using k6, JavaScript, Grafana, and InfluxDB while addressing scalability, latency, throughput, and reliability challenges in distributed cloud-native systems.

Lead as a customer‑embedded principal engineer to design, build, and ship production-grade solutions. Translate business needs into technical approaches, influence senior stakeholders, accelerate delivery in ambiguous environments, and transition work to FDE crews while driving long-term account impact.

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.

Support environmental and laboratory testing of sensor systems: create qualification test procedures/reports to MIL-STD/RTCA standards, perform test setups, develop/maintain automated test software (LabVIEW/Python), integrate lab equipment, coordinate with program managers, customers, and cross-functional teams, and occasionally travel to external test labs.

Designs and delivers scalable, resilient, cloud-native infrastructure services for Azure Virtual Machine Scale Sets. Responsibilities include gathering requirements, creating design documents, writing maintainable code, estimating work, monitoring services, responding to incidents, and improving availability, reliability, observability, efficiency, and performance at hyperscale.

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.

Develop and improve LLVM/Clang-based compiler infrastructure for Arm microcontrollers and proprietary DSPs. Collaborate with application, architecture, design, and engineering teams to enhance compiler performance and support architectural improvements. Work under mentorship while applying software development, debugging, performance analysis, testing, compiler design, and computer architecture knowledge.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Build and own mobile SDKs for identity and fraud prevention products, focusing on Android development, device-level signal collection, authentication, and emerging agentic identity use cases. Partner with product and engineering leaders on architecture and roadmap decisions, improve observability and production resilience, mentor engineers, and drive technical initiatives across Twilio and Stytch.