Top Senior Linux Jobs in Atlanta, GA

Develop and integrate autonomy and mission systems software for sensing platforms, implement real-time Modern C++ applications from higher-level algorithms, lead small teams, perform M&S and live testing using LVC infrastructure, and engage with customers to shape requirements and deployments.

Maintain and grow physical data center infrastructure: racking, wiring, installing and troubleshooting servers, networking and storage, perform hardware repairs, RMAs, debug Linux and network issues, manage inventory, support deployments and new site builds, participate in on-call rotation and mentor junior engineers.

Design and develop real-time software for RF sensor systems, optimize processing pipelines, and integrate algorithms into production-ready software.

The Senior Software Engineer will develop and validate real-time RF sensor software, integrating algorithms into systems and conducting rigorous testing.

Lead SRE efforts for DFIN SaaS: ensure availability, performance, scalability, and automation. Implement monitoring, CI/CD, IaC, container orchestration, AI-enhanced observability, incident response, RCA, and runbook automation while collaborating across engineering teams.

The Senior Infrastructure Engineer will improve system reliability and efficiency, develop standards and tooling, and collaborate with engineering teams to optimize workflows and cloud infrastructure.

The Senior Site Reliability Engineer will develop and support distributed storage services, ensuring reliability and operational safety, with a focus on automation and efficiency.

Lead the Mapping Engineering team as a Staff Software Engineer, focusing on designing scalable distributed backend systems for autonomous vehicle mapping, collaborating with cross-functional teams, and mentoring engineers.

Manage a high-performing software engineering team, driving product roadmap and technical direction, while ensuring quality, performance, and innovation.

The Data Center Engineer will manage physical servers and network hardware, ensuring their installation, maintenance, and troubleshooting, along with overseeing documentation and vendor coordination.

Lead development of AI-assisted reliability tooling, own incident response end-to-end, improve observability and SLO/SLI frameworks, scale single-tenant SaaS operations, mentor engineers, and reduce recurring operational toil through engineering and automation.

The Senior Solutions Engineer leads technical sales cycles, designs enterprise storage solutions, and partners with sales to drive customer outcomes and revenue growth.

Design, implement, and maintain scalable hybrid multi-cloud Kubernetes platforms at massive scale. Ensure high reliability, integrate open-source observability tools, provide technical direction, operate large Linux environments across cloud and data centers, handle on-call duties, and mentor junior engineers.

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 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.

Design, build, and operate highly available AWS systems. Write and maintain Terraform, improve observability (Grafana, Pingdom, Uptrends), run on-call incident response, define SLOs/SLIs, build CI/CD with Azure DevOps/GitHub, automate operational work, document in Confluence, and mentor engineers.

Design and build production-grade mission, behavior, and motion planning systems for autonomous ground vehicles in airport airside environments. Drive architecture and algorithm selection, prototype optimization- and learning-based planners, collaborate with perception/localization/controls teams, promote safety and engineering best practices, and mentor engineers.

The Sr Systems Compute & Storage Engineer VP is responsible for managing Linux servers, enterprise storage, and VMware systems, ensuring operational efficiency and security compliance while driving automation and collaboration across teams.

Lead design, development, modernization, and support of InterSystems Cache/IRIS applications using ObjectScript. Build services, APIs, batch jobs and data workflows; optimize SQL, indexing and queries for performance; lead migrations (Cache to IRIS) and integrations (REST, messaging, ETL); troubleshoot incidents, drive operational resilience, embed secure practices, and mentor engineers across product, QA, infrastructure, and architecture teams in a regulated fintech environment.

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, implement, and manage open-source and AWS database platforms (MySQL, PostgreSQL, MariaDB, Aurora). Ensure performance, availability, security, automation (Terraform/Ansible/CI-CD), monitoring, replication, backup/recovery, cost optimization, and participate in on-call incident response.

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.

Lead and measure engineering squad performance, enforce agile best practices, remove impediments, and manage multiple projects. Ensure production availability, scalability, and observability; configure monitoring, alerts, perform post-mortems and RCA; gather business and technical requirements and recommend operational improvements.