Top Remote C++ Jobs in Washington, DC

Develop, design, and implement code for Azure hyperscale WAN features; gather requirements, estimate and decompose work, participate in on-call DRI duties, monitor reliability and performance, and troubleshoot large-scale distributed systems.

Design and implement scalable first-mile networking solutions for Microsoft 365 Substrate and COSMIC. Drive design, dependency identification, coding, optimization, debugging, and on-call monitoring. Analyze production telemetry to improve reliability, performance, and observability. Act as a DRI, lead design and release plans, and collaborate with stakeholders to meet product requirements at global scale.

Lead and grow an engineering team building core VM and container platform capabilities for Azure. Drive technical strategy, execution, incident resolution, cross-team coordination, and scalable, secure platform innovations.

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.

Design, implement, and operate cloud-scale secure data access features for Azure Blob Storage. Lead end-to-end development, collaborate with stakeholders, improve availability, observability, performance, and apply AI-assisted engineering to enhance productivity and operations.

Design, build, and operate infrastructure for Azure Red Hat OpenShift's Hosted Control Plane. Manage and automate hundreds of AKS clusters, automate regional buildouts and CI/CD, monitor and release microservices, improve product integration with AKS, and collaborate with Microsoft and Red Hat to ensure scalable, secure, and resilient cloud-native infrastructure.

Build and maintain Front’s React Native mobile platform for Android and iOS. Improve mobile user experience and performance, integrate native Android or iOS APIs, support cross-platform development, serve as a mobile ecosystem subject matter expert, and mentor engineers. The role requires experience with reliable real-time mobile applications, C/C++, and React Native, with JNI, Android NDK, Kotlin, and TypeScript considered bonuses.

Develops and maintains highly scalable Azure Storage backend systems. Responsibilities include implementing software features, creating design documents, automating repositories, pipelines, testing, deployments, and operational workflows. The role investigates networking and deployment issues, contributes to estimates and work breakdowns, participates in on-call support, and improves system availability, reliability, observability, efficiency, and performance at scale.

Design, build, operate, and maintain high-scale distributed telemetry systems for Grafana Mimir. Deliver features from concept through production, improve reliability and performance, review code and designs, manage releases, collaborate across the squad, contribute to open-source projects, and participate in follow-the-sun on-call rotations. The role involves cloud software development, microservices, observability, DevOps practices, and database query optimization.

Design and implement PostgreSQL internals and indexing strategies for large-scale document workloads. Extend query engine with BSON-aware operators and custom scan nodes, optimize index pruning, profile distributed system performance, collaborate with open-source communities, and lead design/code reviews.

Lead end-to-end design and delivery of AI-infused, enterprise full-stack applications on Azure. Architect resilient solutions, build Copilot/agentic features, enforce engineering best practices, mentor engineers, collaborate with PM/UX teams, ensure quality/reliability, and support production services and integrations.

Lead and grow a software engineering team to design, build, and operate high-performance, scalable, observable networking systems for Azure AI/HPC infrastructure. Drive architecture, reliability, testing, automation, and cross-team collaboration to support large-scale distributed training and inference workloads.

Design and implement PostgreSQL internals and indexing/query features for large-scale document workloads, extend query engine with BSON-aware operators and custom scan nodes, tune index pruning and storage, profile distributed systems for performance, collaborate with open-source DocumentDB/PostgreSQL communities, and participate in design/code reviews.

Designs and implements protocols and features for highly scalable distributed block storage, focusing on durability, availability, performance, reliability, and observability. Responsibilities include coding, optimization, debugging, design documentation, stakeholder collaboration, incident response, on-call operations, and mentoring engineers. The role requires expertise in C or C++, distributed systems, cloud backend development, multithreaded programming, and large-scale software delivery.

Design and deliver scalable control-plane and management services for Azure Storage at hyperscale. Lead architecture, reliability, and performance work for storage platforms that support AI workloads, adopt AI-assisted engineering practices, and own system health, incident response, and long-term technical roadmaps.

Join TI's Career Accelerator Program to receive technical and professional training while working as a product, test, or validation engineer. Design, build, qualify, and support analog and embedded ICs; develop test hardware/software, debug products, optimize tests, and verify device failures. Lead cross-functional problem solving, drive cost/capacity/yield improvements, resolve customer quality issues, and liaise with fabrication and assembly sites to ensure manufacturing readiness and product performance.

Design, implement, and optimize gameplay mechanics and systems. Collaborate with designers, artists, and developers to troubleshoot and refine code, optimize performance across platforms, and maintain clean modular code while staying current with game technologies.

Design and build scalable backend components and indexing pipelines for semantic and hybrid retrieval, build retrieval orchestration and knowledge-graph services, improve retrieval quality via evaluation and observability, design APIs, and optimize latency, throughput, cost, reliability, and security for large-scale AI inference and retrieval workloads.

Design, build, and operate scalable backend services and APIs for LaunchDarkly’s experimentation platform. Own systems supporting experiment setup, event ingestion, metric computation, and results processing. Contribute to architecture, reliability, observability, deployment safety, incident response, and technical direction. Collaborate with product, design, data science, and engineering teams, investigate production issues, participate in on-call, and mentor teammates through reviews and knowledge sharing.

Design, implement, and operate highly scalable Azure cloud services and full‑stack features for Compute Manager. Own design, coding, debugging, reliability, and on‑call operations as a DRI. Collaborate across teams to improve availability, performance, observability, and run distributed systems at hyperscale.

Supports healthcare data interface and integration projects under senior guidance. Assists with implementation tasks, data extract solutions, troubleshooting, project organization, and client go-lives. Uses basic coding and SQL skills to review data and support integration workflows. Communicates project progress and risks, follows structured implementation processes, participates in after-hours go-live support, and provides periodic on-call coverage.

Execute complex healthcare interface and data exchange projects using Rhapsody or equivalent interface engines. Troubleshoot client integration issues, manage implementation resolution and optimization, validate data flows, support go-lives, and collaborate with internal and external stakeholders. The role requires healthcare data exchange knowledge, basic coding and SQL skills, strong communication, independent work, and periodic on-call and after-hours support.

Design and develop software to onboard hardware accelerators and improve cluster performance for Azure Storage. Collaborate across teams, produce design documents, write and optimize code, own on-call duties, monitor and restore services, and drive reliability, observability, and scalability across the storage software lifecycle.

Lead and grow a compiler, kernel, and runtime engineering team responsible for accelerator bring-up across the Modular stack. Drive technical direction, architecture, coding, roadmap delivery, vendor partnerships, SOWs, milestones, cross-team dependencies, hiring, and production-quality model deployment across diverse hardware platforms.

Lead design and implementation of high-throughput, low-latency programmatic bidding systems. Collaborate with ML engineers to deploy real-time inference, optimize distributed microservices, run experiments and quantitative analysis, and partner with product to ship scalable features. Foster operational excellence, mentor engineers, and continuously improve performance and reliability.