Top Remote Linux Jobs in Miami, FL

Design, operate, and improve Recharge’s cloud-native infrastructure platform. Responsibilities include Kubernetes and GCP infrastructure management, troubleshooting production issues, maintaining observability and reliability, implementing new technologies, improving engineering standards and documentation, supporting security and automation, and participating in a 24/7 on-call rotation. The role also involves mentoring engineers and applying AI tools to improve team productivity.

Administer and harden production Linux systems, troubleshoot complex infrastructure and service issues, manage operating system lifecycles, and develop automation using Bash, Python, and Ansible. The role includes configuration management, security updates, monitoring, backups, recovery testing, incident ownership, documentation, controlled changes, and shared on-call support across physical and virtualized environments.

Develop and maintain high-reliability, high-throughput backend systems for managing security certificates and configurations. Responsibilities include designing scalable systems, building features, optimizing performance, working with relational and NoSQL databases, and collaborating with testing and SQA teams on deployments. The role requires project-based experience with Java, Spring, Spring Boot, Angular, Terraform, SQL, Linux/Unix, and database technologies.

Build and maintain customer-focused hands-on training labs and virtualized environments. Review technical content for quality, troubleshoot lab and UI issues, write PowerShell and Bash automation scripts, and deploy and score labs through automated publishing processes. Collaborate with customers, lab developers, instructional designers, and subject matter experts to create technically accurate learning experiences. Contribute to process improvements, platform administration, technical standards, and multiple concurrent projects.

Manage and optimize large-scale Oracle E-Business Suite R12.2 and Oracle database environments across on-premises and cloud infrastructure. Responsibilities include installation, cloning, patching, upgrades, monitoring, performance tuning, backup and recovery, disaster recovery, cloud migration, security compliance, and capacity planning. The role supports Oracle RAC, ASM, RMAN, Data Guard, OCI, Exadata, and DoD environments while collaborating with government stakeholders and engineering teams. It also includes mentoring junior DBAs and maintaining technical documentation.

Develop and maintain backend and frontend services for a SaaS cyber-physical systems platform using Python, Go, React, and cloud-native technologies. Investigate production incidents, replicate customer issues in staging, perform root cause analysis, and deliver feature enhancements. Ensure compliance with FedRAMP, CMMC, and GovCloud requirements while collaborating with distributed engineering teams across the US and Israel.

Build and operate Linux and Kubernetes infrastructure for Azure Front Door’s globally distributed edge fleet. Design, implement, validate, and deploy platform capabilities; optimize performance, reliability, scalability, security, and operations; investigate production issues; develop automation and engineering tools; and provide technical guidance through reviews and knowledge sharing.

Build and maintain scalable production infrastructure, CI/CD pipelines, and cloud platform capabilities. Design infrastructure architecture, automate manual processes, manage Kubernetes-based environments, scale databases and messaging systems, and monitor production services. The role partners with engineering teams across the product lifecycle and uses infrastructure as code, Helm, cloud technologies, and open-source tools to improve reliability, delivery, and developer experience.

Develop and maintain Intelerad’s Unified Storage Layer and cloud storage services for medical imaging applications. Responsibilities include designing software features, translating support and stakeholder requirements into solutions, debugging cloud infrastructure, managing Kubernetes, Terraform, AWS, and CI/CD environments, reviewing code, documenting systems, and delivering work within an Agile/Scrum team.

Designs and improves build and delivery infrastructure, including CI/CD pipelines, automation, Kubernetes platforms, and cloud-native tooling. Enables development teams, resolves delivery blockers, implements product features, contributes to architecture and platform roadmaps, documents standards, and estimates and reports on assigned initiatives. The role requires Kubernetes, AWS, Linux, scripting, Golang or Python, software architecture, and Agile experience in a regulated healthcare environment.

Designs and improves build and delivery infrastructure, including CI/CD pipelines, cloud-native automation, Kubernetes platforms, and infrastructure tooling. Enables development teams, resolves delivery blockers, implements product features, contributes to platform roadmaps and architectural decisions, and ensures reliability, security, and compliance in a regulated healthcare environment.

Supports end-to-end integration of FAA E-IDS environments by mapping data, developing operational layouts, validating interfaces, configuring systems, troubleshooting networks and Linux environments, and deploying hardware and software across facilities. The role gathers requirements, documents configurations, verifies implementation packages, supports commissioning and cutovers, and collaborates with multidisciplinary engineering teams in mission-critical aviation environments.

Designs and implements manual and automated tests across unit, component, integration, and end-to-end levels. Builds scalable UI and API automation frameworks, conducts performance and load testing, creates test reports, investigates regressions, and provides testability feedback. Collaborates with engineering, product management, and UX teams in an agile environment. The role requires Python and JavaScript automation expertise, cloud and container experience, CI/CD familiarity, SQL, and knowledge of microservices.

Administer and optimize enterprise Windows and Linux infrastructure, virtualization, cloud platforms, networks, storage, security, endpoints, identity systems, and disaster recovery. Monitor performance, resolve infrastructure issues, maintain compliance controls, document systems, support technical escalations, and lead upgrades, migrations, and deployments. The role requires independent management of complex environments and strong communication with technical and non-technical stakeholders.

Build and operate large-scale data acquisition systems, including web crawlers, distributed processing platforms, backend services, data pipelines, and asynchronous workloads. Improve ingestion reliability, scalability, observability, fault tolerance, and data quality. Collaborate with data product and engineering teams to develop data products, design schemas and pipelines, and deliver resilient systems in a remote-first environment.

Administer and optimize Oracle databases across AWS RDS GovCloud and on-premises environments. Responsibilities include upgrades, patching, backup and recovery, performance monitoring, SQL and PL/SQL troubleshooting, database security, Linux and Windows administration, RMF and DISA STIG compliance, audit evidence, vulnerability remediation, release support, and technical documentation. The role requires customer communication, independent problem-solving, and occasional after-hours support and travel.

Develop, enhance, test, deploy, and support full-stack enterprise applications in AWS. Build front-end interfaces, backend services, REST APIs, integrations, and database components. Contribute to architecture and technical design, troubleshoot complex production issues, participate in code reviews, and support automated testing, CI/CD, Agile planning, and deployment activities. Collaborate with Product, QA, Cloud/DevOps, and engineering teams while following secure coding and software development standards.

Leads remote upgrades of Baxter Care Communications installations, including site assessments, application and proprietary hardware upgrades, network configuration, and customer IT coordination. Validates post-upgrade performance, quality, and reliability while resolving complex integration issues with internal teams and partners. Requires expertise in networking, Windows and Linux platforms, Kubernetes, SQL, enterprise hardware, middleware, HL7, wireless networks, and related technologies. The role also supports process improvement and cross-functional technical collaboration.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The engineer will own projects from discovery through implementation and ongoing improvement, using strong backend engineering skills in Python, Bash, and Linux environments.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, improving data-processing systems for quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement. The role requires strong backend software engineering skills, production systems experience, and proficiency in Python, Bash, and Linux, with preferred experience in web crawling, distributed processing, GCP, Terraform, and audio or ML training data.

Build large-scale data pipelines and processing systems that produce high-quality audio datasets for AI model training. Discover data sources, optimize throughput, quality, and cost, operate production systems, and collaborate with AI scientists on next-generation models. The role requires strong backend software engineering, independent problem-solving, and ownership of projects from discovery through continuous improvement.

Build and operate large-scale data pipelines that collect audio data for AI training. Responsibilities include discovering data sources, optimizing data-processing systems for quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, developing reliable data-processing systems, optimizing data quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and operate large-scale data pipelines for AI training datasets, including discovering audio sources, processing data efficiently, optimizing quality and cost, and collaborating with AI scientists. Own engineering projects from discovery through implementation and continuous improvement. The role requires strong backend software engineering, production systems experience, Python and Bash proficiency, and independent problem-solving in ambiguous environments.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The role owns engineering projects end to end and requires strong backend software engineering skills, Python and Bash proficiency, production systems experience, and independent problem-solving.