Top Remote Linux Jobs in Atlanta, GA

Evaluate and develop compute technologies for the Advanced Technology Center. Design and build compute environments for sandboxes, proofs of concept, and lab-as-a-service engagements. Create architectural diagrams, access guides, test plans, use cases, and high- and low-level designs. Collaborate with customers, partners, sales, and internal teams; support business development and marketing; foster OEM partnerships; and maintain required industry certifications.

Owns the hardware lifecycle for GPU and infrastructure assets, including fleet health monitoring, vendor RMA workflows, firmware and BIOS upgrades, burn-in testing, failure investigation, inventory accuracy, capacity planning, spare-parts strategy, runbook creation, and new platform qualification. The role serves as the technical owner of physical compute platforms and supports high-density GPU infrastructure across sites.

Architect, deploy, optimize, and operate large-scale GPU clusters for AI training and inference. Responsibilities include distributed PyTorch and NCCL tuning, GPU networking and storage optimization, scheduling, benchmarking, troubleshooting, automation, monitoring, and performance engineering across compute, networking, storage, and software layers. The role supports production environments with hundreds to thousands of GPUs and partners with ML engineers to improve training scalability and inference efficiency.

Monitor GPUaaS infrastructure, triage alerts, execute runbooks, coordinate incident response, communicate with customers, manage maintenance windows, resolve Tier 1 tickets, and improve monitoring and operational procedures. The role provides 24/7 rotating coverage, including nights, weekends, and holidays, while maintaining shift handoffs and active-incident documentation.

Operate and improve large-scale NVIDIA GPU clusters across bare-metal and rented capacity. Build automation for provisioning, health checks, remediation, monitoring, scheduling, and capacity management. Own Linux images, drivers, CUDA, containers, networking, storage, and Slurm. Diagnose performance and hardware issues, evaluate GPU providers, support ML training workloads, and maintain secure infrastructure. The role also includes hardware installation, datacenter coordination, and vendor management.

Own and advance Yahoo’s enterprise Node.js development environment, including runtimes, packages, container images, internal integrations, and CI/CD workflows. Manage runtime lifecycles, security updates, dependencies, releases, testing, automation, and troubleshooting. Support GitHub Enterprise and GitLab Enterprise while integrating AI programming tools to improve developer productivity. Partner across engineering and security teams, and document platform changes, migrations, and deprecations.

Build and manage Tempo’s infrastructure stack, improve developer velocity and experience, maintain blockchain, validator, and explorer reliability, and support enterprise validator onboarding. The role involves production bare-metal and cloud environments, Kubernetes, infrastructure as code, observability, Linux, networking, security hardening, troubleshooting, and tooling development using Rust, Go, or Python.

Manage and optimize a multi-account AWS environment supporting production healthcare applications and analytics platforms. Responsibilities include AWS infrastructure administration, CI/CD and infrastructure automation, observability, incident response, on-call support, disaster recovery validation, HIPAA/HiTrust compliance, IAM and security controls, and support for containerized Java and Python applications. The role also contributes to Kubernetes and EKS modernization initiatives and partners with developers to resolve complex production issues.

The HealthShare Application Engineer will lead software development and manage project teams, provide technical support, and maintain operational pipelines for application products.

Owns the technical delivery and ongoing support of key customer accounts across AV, unified communications, video conferencing, and cloud collaboration platforms. Leads deployments, upgrades, troubleshooting, escalations, root-cause analysis, documentation, operational readiness, and service transitions. Partners with Sales, Customer Success, Program Management, Service Delivery, vendors, and customer engineering teams. Serves as a senior technical advisor, subject matter expert, and cross-functional leader while driving process improvements and platform administration.

Ensure stability and resilience of Runpod's distributed AI platform by defining SLIs/SLOs, leading incident response, building observability and reliability tooling, automating operational workflows, and partnering with engineering teams to reduce toil and improve production readiness.

Lead infrastructure modernization and platform reliability across multiple cloud providers. Design infrastructure as code, operate Kubernetes and Linux environments, improve CI/CD and deployment tooling, establish SLI/SLO practices, strengthen observability, lead incident response, manage cloud costs, and partner on security and compliance. Provide technical leadership through architecture guidance, mentorship, engineering standards, and roadmap development while participating in on-call support.

Maintain and improve build and release processes across mobile, console, and PC platforms. Develop automation tools, support continuous integration, manage branches and environments, coordinate releases with Production and Live-Ops teams, enable automated testing, and document build pipelines. The role requires Perforce, scripting, build systems, CI, C++, and strong collaboration skills.

Lead technical engagements with hyperscaler customers, owning account strategy, solution design, validation, and delivery. Develop customer relationships, guide sales teams, provide product-development feedback, and manage RFIs, RFPs, demonstrations, proofs of concept, testing, network design, and simulation environments. Apply expertise in switching, routing, WAN, data center fabrics, and interconnect architectures while collaborating across Nokia teams and customer laboratories.

Develops and maintains reliable cloud platform software, automates infrastructure and operational processes, establishes SLOs, and improves resilience, performance, and security. Leads incident triage, root cause analysis, postmortems, problem management, and destructive testing. Collaborates with product and engineering teams, supports production systems, contributes to agile delivery, and mentors junior engineers while driving no-repeat resolutions and reducing operational toil.

Leads software architecture, full-stack delivery, cross-product integration, and technical quality for ARAT mission systems. Owns classified-enclave deployment, secure GitLab CI/CD pipelines, STIG compliance, RMF and information-assurance coordination, and Windows Army Gold Master compatibility. Establishes shared UI architecture and accessibility standards, designs enterprise test-data platforms and analytics strategies, and governs hybrid cloud, network security, identity, and cross-domain distribution across NIPR, SIPR, and JWICS. Mentors engineers and advises the Government on technical, security, data, and cloud investments.

Deploys and maintains UDS and Kubernetes platforms in secure bare-metal environments. Responsibilities include configuring GPU compute, storage, and networking; managing infrastructure as code; supporting secure software delivery; troubleshooting platform services; and collaborating with mission stakeholders and engineering teams. The role is remote in the United States and requires U.S. citizenship, with 15–25% travel.

The Site Reliability Engineer II ensures the reliability, availability, performance, and security of critical cloud systems and services. Responsibilities include developing automation for provisioning and configuration management, maintaining monitoring and alerting, optimizing infrastructure performance, supporting high availability, and enabling continuous integration and delivery. The role collaborates with security teams and drives operational improvements across cloud and network infrastructure.

Designs and maintains automation scripts for network provisioning, application deployment, CI/CD integration, regression testing, and server monitoring. Deploys applications to WebLogic and JBoss, supports development-to-production transitions, and builds proactive alerting for server and application health using Python, Bash, and shell scripting.

Designs, scales, and manages AWS WorkSpaces virtual desktop environments, including operating systems, compute, storage, directory and identity integrations, MFA, encryption, networking, monitoring, patching, troubleshooting, application delivery, and cost optimization. The role also requires securing streaming protocols, automating user provisioning, and supporting AWS infrastructure through scripting and core AWS services.

Build and automate infrastructure while supporting migration to AWS. Develop internal engineering and AI-agent tooling, architect secure and highly available applications, modernize WordPress systems, troubleshoot complex environments, and provide rotating 24/7 on-call support. The role also requires designing AWS multi-account strategies, developing CI/CD pipelines, applying specification-driven development, monitoring systems, forecasting cloud costs, and supporting scalable web applications.

Operate at Staff-level to diagnose and resolve complex customer issues, contribute production-quality code to GitLab, drive AI adoption (Duo Agent Platform), and translate field learnings into durable product improvements, guidance, and thought leadership while coordinating cross-functional teams.

Own the technical success of strategic customer deployments from design through production. Collaborate with customer architects, operators, and developers to optimize infrastructure, debug distributed systems and storage issues, build automation and API solutions, and translate operational needs into product improvements. Serve as the customer advocate within engineering while managing high-stakes technical challenges and deployment expectations. Travel or work onsite at customer locations up to 25%.

Designs, deploys, and optimizes production Kubernetes clusters across hybrid and multi-cloud environments. Builds CI/CD pipelines, GitOps workflows, and Infrastructure as Code automation for cloud-native platforms. Advises customers on complex container infrastructure challenges, troubleshoots production environments, and partners with engineering and support teams. Architects highly available containerized infrastructure, scale-out data platforms, and storage solutions for modern databases and data-processing workloads.

Build and maintain reliable, scalable cloud compute platforms across distributed services. Troubleshoot Linux, networking, and production issues; develop automation and AI-assisted tooling; improve monitoring, alerting, SLIs, and SLOs; conduct incident response and root cause analysis; and partner with engineering teams on system design, deployment safety, and operational readiness.