Top Linux Jobs in Atlanta, GA

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.

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

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.

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.

Designs, engineers, deploys, commissions, and supports ROADM-based DWDM and OTN optical transport networks supporting 100G/400G services and IP/MPLS core connectivity. Responsibilities include optical link engineering, capacity planning, equipment specifications, vendor evaluation, automation, fault isolation, service provisioning, network turn-up, documentation, and technical mentorship. The role coordinates with architecture, operations, vendors, and fiber providers; participates in on-call support and travels to project sites as required.

Develop and improve embedded graphics and compute drivers, customize products for embedded hardware and real-time operating systems, and profile and optimize drivers and applications. Write and review technical specifications while collaborating on reliable, high-quality safety-critical solutions. The role requires embedded software development, debugging, troubleshooting, and familiarity with graphics APIs, ARINC 653, and safety-critical development practices.

Manage and optimize high-bandwidth, low-latency VFX network infrastructure supporting render farms, storage, cloud rendering, artist collaboration, and remote workstations. Configure AWS Deadline Cloud, troubleshoot Maya and Arnold rendering, build asset-transfer and per-show environment systems, optimize Linux and Windows pipelines, and document architecture and procedures. The role requires strong Python and Bash scripting, networking, storage, systems administration, render-farm, and VFX pipeline expertise.

Lead enterprise solution architecture and modernization of legacy IBM mainframe financial applications. Analyze current-state systems, design cloud-enabled future-state architectures, map business processes, and guide migrations involving COBOL, JCL, CICS, DB2, and VSAM. Provide technical leadership across integration, data migration, interoperability, documentation, testing, and deployment. Collaborate with financial agencies and development teams to implement modern solutions using Java, Spring Boot, APIs, microservices, databases, cloud platforms, and DevSecOps practices.

Own and modernize production infrastructure across DigitalOcean, AWS, Cloudflare, and Linux environments. Responsibilities include database migrations to managed services, managed application runtimes, Cloudflare security and delivery, infrastructure inventory, monitoring, backups, disaster recovery, incident response, runbooks, automation, infrastructure as code, and CI/CD. The role requires hands-on production troubleshooting, documentation, AI-assisted operations, risk management, and real on-call availability.

Perform software testing and commissioning for warehouse automation products: create and execute test cases, lead cross-product tests, document results and anomalies, develop and roll out automated tests, maintain simulations and test VMs, support deployments and customer training, and extend test coverage and internal tools.

Build and operate the production platform (Kubernetes, AWS, IaC, CI/CD, observability), automate self-service deployment, embed security and secrets management, run and modernize on-call, drive cost efficiency, mentor teammates, and maintain runbooks and post-incident reviews.

Own the hardware-software interface for production robotic platforms: develop sensor and actuator drivers, manage communication buses and Linux configurations, integrate new hardware, monitor system health, build edge/cloud device management, and support field-deployed robots through diagnostics and validation.

Zencore seeks a Senior Cloud Engineer to assist clients with Google Cloud transitions, focusing on application modernization and infrastructure as code.

As an Embedded Perception Engineer, you'll develop perception pipelines for autonomous systems, focusing on vision model development, sensor fusion, and optimization on embedded hardware.

The Staff Engineer will lead the Systems team, design scalable cloud infrastructure, optimize data pipelines, and ensure platform reliability and security.

Build and maintain end-to-end web applications: design, code, test, debug, and deploy backend APIs and front-end components. Improve legacy systems, create reusable libraries, and support operations and clients while collaborating with product and customers.

Lead design and delivery of self-service platform capabilities: provisioning, deployment, observability, and multi-region networking. Drive RFCs and cross-team alignment, build APIs (primarily in Go), implement Terraform/GitOps flows, improve EKS reliability and Grafana-based SLOs, and reduce operational toil via safe, auditable automation. Own on-call rotation and platform adoption outcomes.

Operate and scale low-latency, high-availability trading infrastructure; automate and manage IaC; monitor and respond to incidents; optimize system and network performance; implement secure CI/CD and IAM practices; collaborate with trading, engineering, and security teams; participate in rotational on-call support.

The Web3 / Full-stack Software Engineer will design, develop, and deploy software solutions for staking products, collaborating with engineers and UX designers to enhance UI and ensure security of blockchain networks.

Lead design and delivery of end-to-end calibration systems for perception sensors and robot kinematics. Build algorithms, fixtures, on-fixture software, data pipelines, validation, operator workflows, and fleet monitoring. Own fixture software and in-field self-check/recalibration, define downstream manufacturing requirements, and coordinate with vendors and contract manufacturers. Hire, mentor, and develop engineering talent for calibration work.

Deploy, manage, validate, and optimize large-scale AI compute and HPC infrastructure in Linux environments. Serve as a technical liaison among NVIDIA, partners, and enterprise customers; lead planning through implementation, document handoffs, transfer knowledge, troubleshoot hardware and software, and provide feedback for product and architecture improvements. The role involves networking, system design, automation, benchmarking, cluster provisioning, and customer-site travel up to 30%.

Lead design, implementation, and optimization of Active Directory and Entra ID solutions. Manage user accounts, security policies, SSO, Conditional Access, domain migrations, DC upgrades/decommissions, and disaster recovery. Drive standardization, consolidation, compliance audits, performance tuning, and roadmap for AD-to-Entra ID transition while collaborating across teams and sharing specialized knowledge.