Top Linux Jobs in Atlanta, GA

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.

Lead embedded Linux platform enablement for Nabu Casa hardware: maintain and improve Buildroot-based OS support, perform board bring-up, debug platform-level issues, optimise performance and reliability, upstream patches to open-source projects, maintain CI for builds, and document platform architecture and procedures while collaborating with hardware teams and open-source communities.

Lead and evolve secure, automated cloud platforms and CI/CD pipelines using IaC, containers, and Kubernetes. Integrate security tooling, mentor engineers, optimize cloud cost and reliability, and produce technical documentation while supporting Generative AI development workflows.

Own and maintain reliability, performance, scalability, and capacity of massive Ceph storage clusters. Troubleshoot distributed storage issues, build automation (Python/Shell, SaltStack, Ansible), define observability (SLIs/SLOs, PromQL/LogQL, Grafana), and lead lifecycle initiatives like upgrades, expansions, and migrations.

Design, build, and optimize edge data-collection agents for Windows, Linux, and Mac. Collaborate with product, UX, and engineering to deliver backend features, own development lifecycle, create automated tests, support SaaS products, and participate in 24x7 on-call rotations.

Build and lead development of a customer-facing metric store for high-volume telemetry. Design scalable backend services, data models, ingestion pipelines, and query execution paths. Optimize query performance, storage efficiency, and system reliability. Collaborate with Product, Design, and Operations from architecture through production, mentor junior engineers, participate in on-call rotation, and help define testing, deployment, and operational practices.

Lead technical ownership of InfiniBand and GPU interconnect fabric operations for hyperscale AI supercomputers. Drive incident response, deep multi-layer debugging across hardware/firmware/drivers/OS, and define failure models, playbooks, telemetry, and automation to improve reliability, observability, and scalability of GPU clusters and platform SLAs.

Develop software applications for a data inventory initiative, automate processes, enhance application security, and analyze technical requirements across teams.

Architect, scale, and secure AWS infrastructure using IaC and automation. Build self-service templates, maintain FedRAMP-ready configurations, support incident response, optimize performance with Datadog, and mentor junior engineers.

Lead design and implementation of secure, scalable cloud solutions for Public Health data modernization. Architect and deploy AWS and hybrid cloud applications, guide engineering teams, enforce cloud governance and CI/CD practices, and troubleshoot IaaS and Linux/Unix environments.

Partner with customers to deploy collaborative robots: perform onsite hardware/software testing, troubleshoot and repair, conduct readiness assessments, document procedures, replace parts/retrofits, and drive project communication to ensure successful long-term adoption.

Develop and maintain scalable web, mobile, API, and data-platform features as part of an Agile Scrum team. Implement cloud migrations, CI/CD pipelines, test automation, security controls, and production-first practices while troubleshooting production issues and contributing to continuous improvement.

Design, build, and operate reliable backend systems while mentoring engineers, participating in design discussions, and improving system performance.

The Lead Systems HPC Engineer will optimize GPU clusters' performance, troubleshoot issues, integrate new hardware, and collaborate with teams on system-level software development.

Design and build systems for managing bare-metal infrastructure, focusing on automation, hardware provisioning, and software integration with Linux systems.

As an Applied R&D Engineer, you will develop backend application software in a Kubernetes environment, focusing on streaming APIs, system design, and code quality.

Lead and grow the Cloud Engineering team to own AWS infrastructure, IaC strategy, account and landing zone standards, cloud security, cost optimization, and platform modernization. Hands-on manager who contributes to Terraform/Ansible implementations, partners with SRE/Product/Security, drives observability and operational resilience, and reduces cloud operational risk through reusable patterns, automation, and standards.

Provide senior-level escalation and troubleshooting for GPU/HPC infrastructure, diagnosing hardware, driver, and kernel issues. Perform root-cause analysis across clusters, build automations and docs, mentor peers, collaborate with engineering for permanent fixes, and participate in on-call rotation and high-volume deployments.

Perform manual testing of web and enterprise applications: create and maintain test cases and documentation, execute functional/regression/smoke/exploratory tests, test REST APIs, verify data via SQL/DB testing, reproduce and triage defects with developers, and improve QA processes and coverage.

Provide senior-level technical escalation and support for GPU/HPC cloud infrastructure. Troubleshoot hardware, drivers, kernel, networking, and workload issues; perform root-cause analysis across clusters; build automations and documentation; mentor junior engineers; participate in on-call rotations and incident response; collaborate with engineering to implement permanent fixes.

Design, build, automate, and operate multi-cloud infrastructure (AWS/Azure) using IaC and CI/CD. Support DR, monitoring/AIOps, security remediation, cost optimization, incident response, and runbook/documentation. Participate in on-call rotation and integrate acquired systems into cloud infrastructure while applying AI tooling to operations.

Own technical qualification of compute providers: define acceptance standards and benchmarks, validate clusters (fabric, GPUs, storage, orchestration), guide provider remediation, and maintain technical relationships to ensure reliable production performance.

Lead QA activities for government-facing web applications: design and execute manual and automated tests, develop test plans/cases, perform API and integration testing, manage defects, integrate tests into CI/CD, validate deployments, mentor junior QA, and collaborate with cross-functional teams to ensure high-quality releases.

Build and maintain developer platform tooling that ensures SIL-4 safety compliance: automation for certification evidence, CI/CD improvements, Bazel build maintenance, lightweight web dashboards, developer workflow automation, monitoring, and on-call support.

Lead and deliver secure, full-stack software for DoD customers through pair-programming, TDD, continuous delivery, and client-facing mentoring. Teach agile practices, build and test APIs, run software in Linux, use container and DevSecOps tooling, and champion AI-augmented workflows while ensuring week-over-week delivery and client success.