Top Remote Linux Jobs in Atlanta, GA

Designs and executes automated, API, UI, regression, smoke, and end-to-end tests for cloud-native and air-gapped federal environments. Integrates test suites with GitLab CI and Jenkins, validates security and compliance baselines, diagnoses Linux and Windows systems, and documents test plans, defects, and results. The role supports reliable deployment of cyber-physical security solutions across government and critical infrastructure environments.

Design and implement high-performance, 3GPP-compliant 5G Core control- and user-plane functions on ARM-based embedded Linux. Develop in C/Go/Rust, use DPDK for packet processing, optimize latency/throughput, debug protocol and performance issues, and collaborate cross-functionally to integrate carrier-grade systems.

Develop and optimize UE Layer 2 and Layer 3 protocol stack (MAC, RLC, PDCP, RRC, NAS) for LTE and 5G NR. Implement 3GPP features, debug with protocol analyzers, integrate with PHY/L1, run functional and performance tests using UE simulators and network emulators, and ensure operator compliance.

Architect and improve AWS infrastructure, build and maintain Kubernetes platforms, automate provisioning with infrastructure as code, and support CI/CD delivery. The role improves security, reliability, scalability, performance, and quality while helping development teams apply DevOps practices. Responsibilities include application and environment configuration, production support, and participation in an on-call rotation.

Architect and improve AWS infrastructure, build and automate Kubernetes platforms, develop IaC and CI/CD pipelines, and support production deployments. The role focuses on system security, reliability, scalability, performance, and configuration while enabling engineering teams with DevOps best practices. Responsibilities include production on-call support, application and environment configuration, and infrastructure support for product development projects.

Owns the cloud architecture vision and roadmap for an AWS-first, multi-cloud SaaS environment. Designs secure, resilient, scalable, and cost-efficient infrastructure; leads cloud modernization; enables AI and data platforms; establishes Terraform, CI/CD, observability, security, governance, and reliability standards; and partners with engineering, security, operations, customers, auditors, and leadership. Coordinates major incident response and drives self-service infrastructure and developer experience improvements.

Design, develop, and optimize highly reliable, scalable backend services and APIs. Monitor performance, identify bottlenecks, and implement system-level optimizations for high-throughput environments. Build asynchronous and multithreaded systems using Rust or C++, deploy production software on Linux, and collaborate cross-functionally on complex technical challenges. Experience with trading systems, databases, and financial or security-constrained systems is advantageous.

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

Own and operate large-scale infrastructure for sports betting and media platforms across cloud and production environments. Lead infrastructure migrations, build Kubernetes platform tooling and CI/CD automation, improve observability and alerting, support development teams, and participate in incident response. The role requires strong distributed-systems expertise, production troubleshooting, cross-team project leadership, technical communication, and mentoring.

Operate and maintain AWS infrastructure, including EKS, EC2, RDS/Aurora, ElastiCache, S3, and IAM. Manage deployments, build reusable Terraform modules and Helm charts, maintain GitLab CI templates, troubleshoot networking, IAM, and Kubernetes issues, and improve observability and platform stability with Datadog. Partner with application teams to communicate platform standards and participate in production on-call ownership.

Leads functional, system, regression, integration, and black-box testing for web applications and server-based interfaces. Develops test plans, test cases, schedules, data strategies, and evaluation procedures from requirements and user stories. Executes SQL queries, API and web-service testing, manages defects, validates software deployments, documents QA processes, troubleshoots installation issues, and provides technical leadership to junior analysts while supporting cross-functional teams and client engagements.

Performs functional, system, regression, integration, and specialized Section 508 accessibility testing for USDA digital products. Tests web, mobile, documents, APIs, and integrated systems using WCAG, DHS Trusted Tester, automated tools, and assistive technologies. Develops test plans and traceability, documents defects and remediation guidance, provides compliance sign-off, reviews designs, supports shift-left accessibility, collaborates on CI/CD scanning, and mentors junior QA analysts.

Build, maintain, and operate Ookla’s globally distributed infrastructure platform at massive scale. Responsibilities include managing cloud instances, containers, serverless applications, databases, streaming systems, and big-data tooling; supporting 24/7 production operations and on-call rotations; implementing security programs; improving deployment pipelines, monitoring, observability, and reliability; and guiding software and data engineering teams on operational best practices and troubleshooting.

The DevOps Engineer supports software development teams across development platforms, compilation, deployment, monitoring, and the SDLC. Responsibilities include managing deployments, creating release structures, maintaining CI/CD processes, facilitating development and infrastructure team communication, researching new technologies, developing proofs of concept, and documenting systems and processes. The role requires enterprise IT engineering experience, systems administration knowledge, monitoring expertise, and familiarity with automation, containers, testing, and version control.

Design, build, and operate highly available GCP infrastructure for trading-critical systems. Own Terraform-based Infrastructure-as-Code, GitOps workflows, CI/CD pipelines, Kubernetes and GKE operations, observability, networking, data stores, and message brokers. Build self-service developer platforms, implement SRE practices, manage incidents and postmortems, and participate in a global follow-the-sun on-call rotation.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

Design, develop, and validate functionally safe software for robotic perception systems. Build safety-critical architecture across Linux and real-time operating systems, create testing and validation frameworks for edge cases, collaborate with machine learning, hardware, and core software teams, and mentor junior engineers on safety-critical coding practices.

Build and maintain CI/CD pipelines, cloud infrastructure, Terraform automation, database systems, monitoring, and observability on Google Cloud. Support reliability, security, compliance, incident response, and shared on-call operations while applying backend engineering expertise to production services. The role manages PostgreSQL, Redis, BigQuery, Bigtable, and Firestore environments and contributes to disaster recovery and operational tooling.

Owns enterprise virtualization, compute, storage, Windows and Linux systems, identity services, monitoring, backup, and disaster recovery. Diagnoses complex infrastructure problems across hypervisor, operating system, storage, and network layers; develops PowerShell, PowerCLI, and Bash automation; improves resilience and observability; supports database infrastructure; and helps introduce container workloads. The role also includes mentoring junior administrators, maintaining documentation and recovery procedures, and collaborating with network, security, database, and application teams.

Architect and operate North’s AWS and multi-cloud infrastructure, establishing IaC, CI/CD, security, observability, and disaster-recovery standards. Build AIOps capabilities including anomaly detection, predictive scaling, self-healing remediation, AI-assisted tooling, and cloud cost optimization. Collaborate with DevOps, SRE, Product Engineering, and InfoSec teams to deliver resilient, compliant, highly scalable platforms.

Lead the design, delivery, and production adoption of integrations-platform features, including SDKs, agents, job pipelines, developer tooling, and related services. Drive AI-enabled integration authoring, reliability, scalability, observability, and cross-platform support. Partner across product, platform, and customer teams to translate needs into technical solutions while providing architectural leadership, mentorship, and hands-on guidance across distributed systems and workflow orchestration.

Design and build Go-based control-plane services, CSI drivers, storage integrations, observability tools, and infrastructure automation for Kubernetes AI platforms. Integrate enterprise and scale-out storage, support bare-metal and hybrid provisioning, and deliver declarative Terraform/OpenTofu and GitOps workflows. Architect reliable storage solutions for Kubernetes clusters, air-gapped environments, and sovereign infrastructure, including artifact mirrors and PKI/TLS.

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

Build and maintain secure cloud-native platforms supporting Navy application teams. Integrate, package, deploy, and operate applications across Kubernetes and UDS environments; develop infrastructure as code, CI/CD pipelines, Helm configurations, and automation. Troubleshoot application and platform issues, implement security controls and vulnerability remediation, support observability, collaborate across technical teams, and contribute to platform strategy. The role also involves mentoring engineers and supporting Kubernetes distributions including EKS and RKE2.