Top Senior C++ Jobs in Atlanta, GA

Designs and implements behavior-planning algorithms for autonomous vehicles operating in structured airport environments. Responsibilities include developing C++ and Python software, modeling multi-agent interactions, implementing decision-making and path-planning methods, testing in simulation and real-world scenarios, optimizing performance, documenting systems, and collaborating with autonomy and engineering teams.

Lead architecture and implementation of Cloudflare Tunnel systems (client and edge services). Design, code, test, monitor, and scale distributed, secure microservices. Mentor peers, drive roadmap, debug production issues, and collaborate with security, SRE, network engineering, and product teams.

Design, develop, debug, document, and support complex lottery transaction systems. Participate in requirements gathering, solution design, code reviews, and production issue resolution. Work with C/C++ on Linux, multithreaded applications, shared memory, binary serialization, SQL, shell scripting, and system-level programming. The role also requires independent problem-solving, technical leadership, mentoring, and occasional travel and regulated-industry background checks.

Lead architecture, integration, testing, and global certification of secure payment kernel infrastructure for POS devices. Design Android-to-RTOS/MCU interfaces, develop payment features (contactless, wallets, offline, DCC), own L2/L3 kernels, ensure compliance with international test bodies, triage system issues, and participate in production on-call support to maintain terminal uptime.

Develop and validate dosing algorithms and component models for an inhaled nitric oxide delivery platform. Build simulations, test tools, and data-driven experiments in Python, then translate validated algorithms into production C/C++ embedded firmware. Integrate sensors and electromechanical hardware, troubleshoot control and communication issues, document requirements and traceability, and support verification, regulatory submissions, and product launch. Progressively provide firmware technical leadership, design oversight, integration planning, and mentoring.

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.

Lead forward-deployed engineering engagements for strategic enterprise customers, diagnosing and resolving complex Windows deployment, management, update, application, performance, reliability, and security issues. Build automation, scripts, diagnostic tools, prototypes, and technical solutions; collaborate with Windows and Intune engineering teams on product fixes; and convert customer solutions into reusable playbooks and tools. Communicate findings to technical and executive stakeholders while delivering measurable improvements to Windows install-base health.

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.

Work with customers and cross-functional teams to design, build, and deliver cloud-based solutions. Lead design, identify dependencies, mentor engineers, act as DRI and on-call, and improve availability, reliability, observability, and performance. Contribute to open-source assets and collaborate with Microsoft product teams to produce extensible, maintainable code and scalable solution patterns.

Design and implement PostgreSQL internals, indexing, query engine extensions, and storage-layer features to support large-scale document workloads on Azure. Profile distributed systems, tune performance, collaborate with open-source communities, conduct design/code reviews, and drive cross-team alignment for mission-critical database features.

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.

Lead investigation and mitigation of complex distributed storage issues for Azure Managed Disks. Design algorithms for load distribution, monitor system behavior, debug performance and availability problems, collaborate across teams, mentor engineers, act as on-call DRI, and improve observability and reliability at hyperscale.

Design and own Ditto’s networking and transport stack for mesh systems, including routing, connectivity, protocols, and edge platforms. Re-architect networking components for scalability and performance, debug reliability and synchronization issues, optimize concurrency and resource usage, and develop resilient protocol abstractions for unreliable networks. Establish observability for production diagnostics while collaborating in a distributed team.

Develop and operate high-throughput, low-latency telemetry pipelines and cloud services for Azure AI/HPC infrastructure. Build observability, monitoring, analytics, and automation capabilities; own architecture through deployment and operations; and lead incident response, root-cause analysis, reliability improvements, and operational readiness. Partner across engineering and platform teams, influence technical roadmaps, mentor engineers, and apply distributed systems, AI infrastructure, and cloud operations practices at hyperscale.

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 enterprise software development, platform integrations, custom scripts, and cloud architecture. Manages the software development lifecycle from requirements through deployment, collaborates with stakeholders, mentors engineers, and directly contributes to frontend, backend, and cloud solutions. Oversees third-party enterprise tools, databases, APIs, serverless systems, QA coordination, technical processes, and cross-departmental engineering initiatives.

Designs, builds, scales, and operates distributed CI/CD services supporting millions of builds, tests, and releases. Develops code for Azure-based infrastructure spanning virtual machines, containers, and custom lab environments. Responsibilities include requirements analysis, architecture and design documentation, estimation, debugging, optimization, operational playbooks, on-call incident response, monitoring, reliability improvements, and mentoring engineers.

Design and develop software to onboard hardware accelerators and improve cluster-level storage performance. Collaborate across teams, produce design docs, implement and optimize code, perform tuning and RCA, act as DRI, and participate in on-call operations and scaling/validation efforts.

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, develop, and operate distributed services for Azure Storage geo-replication. Improve durability, regional resiliency, failover readiness and disaster recovery. Collaborate across teams, analyze telemetry, diagnose production issues, act as a DRI, and leverage AI-assisted engineering tools to improve productivity and reliability.

Leads the design, implementation, optimization, and support of highly scalable Azure Storage services. Responsibilities include end-to-end performance testing, benchmarking, automation, profiling, bottleneck and root-cause analysis across compute, storage, and networking layers, KPI definition, scaling recommendations, and operational incident response. The role collaborates across teams, drives project and release plans, supports reliable and secure services, and mentors engineers while participating in on-call responsibilities.

Develops and maintains high-quality systems software and microservices for Azure Messaging services, including data storage and replication. Drives product and engineering-process innovation, applies AI to software development, ensures software quality and stability, and uses rigorous development practices including requirements, testing, and efficient coding techniques.

Build and maintain cloud infrastructure automation, software delivery pipelines, platform services, and developer tooling for Veeam’s FedRAMP-compliant SaaS product. Set technical direction across teams, lead architecture decisions, improve developer experience, mentor engineers, and collaborate with product, security, and compliance teams. The role emphasizes software engineering for infrastructure using Kubernetes, Go, Azure, infrastructure-as-code, containers, serverless services, and GitHub Actions.

Define technical direction for hyperscale Azure Storage components; architect, develop, test, and support highly scalable, secure, compliant, and highly available cloud services. Lead multiple engineering projects, improve reliability, scalability, performance, consistency, and observability, and apply AIOps for incident detection, root-cause analysis, and operational excellence.

Lead design and implementation of large-scale Pub/Sub and messaging services within Azure Event Grid/Microsoft Fabric. Define scalable, reliable architectures, drive testing and CI/CD automation, build developer tooling, mentor engineers, manage incident response and operational excellence, and collaborate with PMs, EMs, researchers, and customers to deliver production-ready cloud services.