Top Remote Linux Jobs in Atlanta, GA

Lead and grow a software engineering team while remaining hands-on technically. Drive technical roadmap, architecture, engineering quality, system performance, scalability, reliability, and security. Hire and mentor engineers, establish team objectives, coordinate with product and stakeholders, lead Agile ceremonies, manage performance, and participate in incident on-call rotations. The role requires full-stack development experience, cloud and SaaS familiarity, and expertise in backend systems, databases, integrations, and engineering best practices.

Lead large-scale initiatives for a high-performance Linux-based network sensor, improving ingestion, scalability, continuous capture, queue reliability, observability, and production diagnostics. Own root cause analysis and postmortems, establish engineering standards, translate business goals into technical plans, and mentor engineers through design and code reviews. The role requires deep Rust expertise, distributed systems experience, concurrent programming, packet capture, message brokers, and cybersecurity best practices.

Design, operate, and improve highly scalable hybrid multi-cloud Kubernetes platforms supporting business-critical systems. Responsibilities include optimizing reliability, managing large-scale infrastructure, integrating open-source technologies, guiding Kubernetes platform evolution, and mentoring engineers. The role requires expertise with Kubernetes clusters containing thousands of nodes, observability tools, Golang, Linux, AWS, GCP, OCI, custom data centers, and on-call operations. Candidates must be eligible for CJIS clearance and periodically complete government-required background and fingerprint checks.

Design, build, operate, and scale cloud-native systems supporting Falcon Complete cybersecurity analysts. Responsibilities include developing web services and data pipelines, improving monitoring and reliability, automating operational tasks, collaborating with stakeholders, translating feature requests into requirements, and participating in 24/7 on-call rotations. The role involves distributed systems, microservices, databases, messaging platforms, container orchestration, and AI-enabled workflow improvements in a remote, asynchronous environment.

Implements and supports enterprise AI infrastructure platforms across client environments. Configures Kubernetes, workload schedulers, GPU resource governance, containers, observability, security, and related platform services. Performs discovery, deployment, integration, upgrades, troubleshooting, validation, documentation, and knowledge transfer. Collaborates with cross-functional technical teams, contributes to implementation plans and Statements of Work, manages project deliverables, and provides client-facing consulting support. Travel and occasional extended or weekend work may be required.

Lead backend engineering for a high-performance, data-intensive SaaS platform. Responsibilities include defining technical vision, designing scalable and highly available systems, executing technical projects, participating in architecture decisions, monitoring and optimizing services, improving CI/CD and infrastructure, conducting postmortems, mentoring engineers, documenting practices, and aligning with partner teams.

Designs, implements, validates, benchmarks, troubleshoots, and supports accelerated compute and high-performance storage infrastructure for enterprise AI workloads. Conducts discovery, migrations, installations, configuration, testing, documentation, and client knowledge transfer. Collaborates with project managers, architects, sales teams, partners, and stakeholders to manage scope, timelines, risks, and deliverables. The role requires client-facing consulting, technical documentation, infrastructure troubleshooting, occasional overtime, and travel to client sites or company locations.

Operate and maintain large Kubernetes clusters across data centers and public clouds. Troubleshoot infrastructure, networking, storage, DNS, and control-plane issues; participate in on-call incident response; perform upgrades and capacity changes; build monitoring dashboards and alerts; automate repetitive work with Go or Python; maintain documentation and use AI tools to improve engineering workflows.

Design, operate, and scale SailPoint’s AWS-based Kubernetes infrastructure and service mesh for a global, mission-critical SaaS platform. Responsibilities include cluster architecture, networking, security, GitOps, CI/CD, observability, capacity planning, incident response, compliance, and platform standards. The role influences engineering teams globally, participates in 24x7 on-call support, leads service mesh strategy, and improves reliability, performance, deployment efficiency, and operational practices.

Develop and operate CrowdStrike’s internal cloud management platform and mission-critical CI/CD pipelines. Build APIs and UIs using Go and TypeScript, improve developer productivity, integrate tooling, maintain cloud-native infrastructure, and support secure, highly available software delivery systems. Collaborate with development, infrastructure, security, and SRE teams, ensure SOC2-aware processes, and participate in on-call operations.

Own and improve Dropbox’s Windows endpoint platform, including provisioning, application delivery, patching, compliance, security configuration, troubleshooting, fleet health, and automation. Build code-managed endpoint operations using Intune, FleetDM, osquery, infrastructure-as-code, and GitOps practices. Lead cross-functional improvements, establish reliable deployment workflows, mentor engineers, review code and designs, and document reusable operational practices.

Site Reliability Engineer responsible for maintaining availability, performance, and recoverability of payment, payables, and banking platforms. Duties include building monitoring and alerting, responding to incidents, facilitating postmortems, defining SLIs and SLOs, writing runbooks, automating infrastructure and CI/CD processes, supporting safer releases, and testing failover and disaster recovery. The role requires AWS, Kubernetes, observability, scripting, infrastructure-as-code, Linux, networking, and production on-call experience.

Leads enterprise observability engineering using Dynatrace to monitor applications, infrastructure, databases, APIs, and cloud services. Designs APM, tracing, dependency mapping, dashboards, alerts, RUM, synthetic monitoring, and performance baselines. Investigates incidents and root causes using DQL and Davis AI, improves reliability and monitoring coverage, and collaborates with development, infrastructure, operations, and security teams. Provides technical leadership, documentation, knowledge transfer, and guidance on automation, DevOps, SRE, and change impact analysis.

Build and maintain CrowdStrike’s golden-image platform and automated pipelines across Linux, macOS, and Windows. Develop Python automation for image builds, validation, drift detection, and testing; manage infrastructure as code with Ansible, Packer, and Terraform; integrate Jenkins, GitLab CI, and Artifactory; and support image lifecycle operations. The role includes troubleshooting production issues, security hardening, compliance collaboration, documentation, cross-team partnership, and participation in on-call rotations.

Designs and operates cloud and internal infrastructure, identity and access management, SaaS platforms, and automation systems. The role improves reliability, security, compliance, and operational efficiency through IAM governance, infrastructure-as-code, CI/CD, vulnerability management, patching, system hardening, monitoring, and troubleshooting. It also partners with Security, HR, and Engineering on onboarding, integrations, and audit readiness.

Lead performance engineering for massive-scale HPC and AI workloads across InfiniBand-connected GPU clusters. Diagnose communication bottlenecks, analyze fabric behavior, tune RDMA and QoS, develop telemetry tooling, optimize topology-aware communication, benchmark distributed workloads, and collaborate with operations and hardware vendors on next-generation interconnects.

Build and ship SMART on FHIR applications, FHIR R4 APIs, CDS Hooks services, and EHR integrations for Epic, Oracle Health, and other platforms. Develop Java and Spring Boot backend services on AWS, manage PHI securely under HIPAA, and support HL7 v2 interfaces. Lead EHR vendor onboarding and production go-lives, collaborate with clinicians and health system IT, write technical designs, review code, mentor engineers, and participate in on-call support.

Oversee global data center network infrastructure operations, including deploying, repairing, installing, and decommissioning servers, storage systems, routers, switches, cabling, firmware, and software. Monitor and troubleshoot hardware, coordinate deployments and rack designs, manage inventory and shipping, support data center migrations and upgrades, and collaborate with Network Operations Centers and on-site technicians.

Deploys large-scale GPU clusters from hardware delivery through production handover. Responsibilities include rack and stack, cabling, power-on, firmware management, burn-in, acceptance testing, vendor and contractor direction, quality inspections, punch-list closure, documentation, and deployment runbook creation. Requires production GPU deployment experience, Linux and hardware systems expertise, direct liquid-cooling commissioning experience, independent site ownership, and travel up to 50%.

Designs and manages cloud infrastructure across development, staging, and production using Terraform and AWS. Builds containerized environments with Docker, ECS, and Kubernetes; develops CI/CD pipelines; manages networking, routing, APIs, WAF, monitoring, and autoscaling. Troubleshoots infrastructure and deployment issues, optimizes performance and reliability, and collaborates with development and QA teams. The role also supports cloud-agnostic architecture, observability, Linux administration, and automation scripting.

Leads infrastructure, platform operations, and DevOps teams supporting a large private-cloud environment. Owns availability, performance, security, capacity, lifecycle management, 24x7 operations, incident response, automation, disaster recovery, and continual improvement. Coordinates cross-functional infrastructure programs, manages dependencies and risks, oversees ITSM processes and service metrics, and communicates technical and operational priorities to engineering and executive stakeholders.

Designs, develops, tunes, and maintains scalable AWS cloud infrastructure and containerized application deployments. Responsibilities include managing EKS, ECS, networking, storage, CI/CD pipelines, security boundaries, monitoring, alerting, and cloud migrations. The role uses Docker, Kubernetes, Python, Bash, Datadog, and AWS services while documenting solutions under the AWS Well-Architected Framework. It also supports compliance, technical documentation, and infrastructure automation, with preferred experience in API gateways, SFTP, web servers, and Atlassian tools.

Supports enterprise infrastructure, integration applications, and Java-based systems across Linux and Windows environments. Responsibilities include incident response, troubleshooting, root cause analysis, monitoring, automation with Python, shell scripting, Ansible, and AWX, SQL and database troubleshooting, CI/CD support, application observability, ServiceNow management, documentation, and collaboration with infrastructure, application, database, network, and integration teams.

Build and improve Azure Kubernetes Service capabilities for Linux and Windows containers. Develop distributed cloud infrastructure, automation, observability tooling, and reliability improvements at global scale. Support AI-native infrastructure, including GPU orchestration, model deployment, inference, and platform operations. Accelerate engineering workflows, prevent production incidents, integrate AI tools, and contribute to Kubernetes and cloud-native platform innovation.

Lead Linux engineering sustainment for U.S. Army systems. Responsibilities include administering and securing RHEL environments, managing Pacemaker high-availability clusters, operating Linux servers in AWS, automating system administration with scripting, applying patches and hardening systems, remediating vulnerabilities, supporting software updates, developing test strategies, performing technical analysis, and communicating solutions to teams and customers. The role requires an active Secret clearance and supports mission-critical DoD infrastructure.