Top Senior Linux Jobs in Miami, FL

Architect and refine scalable cloud infrastructure software for enterprise and internet-scale environments. Responsibilities include developing robust software, designing systems supporting 1,000+ nodes, optimizing performance, and collaborating with distributed technical teams in agile environments.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

Design and deliver large-scale, resilient AI and Kubernetes infrastructure for hybrid environments. Implement, optimize, and maintain cloud-native, container orchestration solutions; integrate AI capabilities; participate in on-call rotations; mentor engineers and drive reliability, observability, and performance at scale.

Design and deliver large-scale, cloud-native and AI-enabled Kubernetes/AKS solutions. Implement, optimize, and maintain Kubernetes components and container orchestration across Azure, on-prem, and edge. Integrate AI capabilities, participate in on-call rotations, mentor engineers, and collaborate cross-functionally to improve reliability, observability, performance, and operational consistency at scale.

Manage Azure cloud infrastructure, including compute, storage, networking, load balancing, DNS, security, monitoring, and logging. Build CI/CD pipelines and secure Linux machine images, implement Infrastructure as Code, troubleshoot deployments, and improve application reliability. This two-month contractor engagement requires independent delivery of production-quality infrastructure, with opportunities to support multi-cloud environments and confidential computing.

Lead development and maintenance of responsive websites and marketing campaign assets using Node.js and React. Manage backlogs, REST API integrations, Git repositories, Docker deployments, platform performance, security (OAuth2), user access, and stakeholder communication. Mentor developers and deliver cross-functional web improvements.

Designs and develops scalable customer-facing web applications and microservices APIs. Leads complex system architecture, performs code reviews, mentors engineers, defines technical implementations, and guides engineering vision. Maintains sustainable business systems, supports compliance initiatives, and improves development processes. The role requires Java and Spring experience, cloud technologies, relational databases, REST and event-driven architectures, containerization, front-end development, and software lifecycle expertise.

Deploys, integrates, operates, and optimizes high-performance NFS storage for Kubernetes, bare-metal, GPU, and AI workloads. Responsibilities include CSI integration, Linux and NFS tuning, storage lifecycle management, air-gapped deployments, infrastructure-as-code, GitOps automation, observability, and troubleshooting performance or reliability issues across hybrid and edge environments.

Design and implement PostgreSQL internals, indexing, query engine extensions, and storage-layer features to support large-scale document workloads on Azure. Profile distributed systems, tune performance, collaborate with open-source communities, conduct design/code reviews, and drive cross-team alignment for mission-critical database features.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Develop and configure enterprise-scale digital software solutions for asset performance management and predictive analytics. Responsibilities include translating customer requirements into software architectures, designing and implementing applications, documenting solutions, testing technologies, supporting customer implementations, and collaborating with subject matter experts, project managers, product managers, and development teams. The role also involves presentations, scalable application development, secure distributed architectures, and occasional customer project travel.

Design, implement, and maintain low-latency exchange network infrastructure. Configure network devices using Ansible and Python, monitor alerts, resolve incidents, perform root-cause analysis, support customer connectivity and turn-ups, validate products, engineer secure solutions, and coordinate with data center and circuit providers.

Design, develop, deploy, and maintain cloud-native AWS applications using Node.js, React.js, and JavaScript/TypeScript. Build infrastructure as code with Terraform or AWS CDK, create CI/CD pipelines, troubleshoot Linux environments, and support secure cloud operations. Collaborate with UI/UX, cloud engineering, architecture, and DevOps teams while contributing to compliance, hardening, architectural decisions, and on-call operations.

Owns the hardware lifecycle for GPU and infrastructure assets, including fleet health monitoring, vendor RMA workflows, firmware and BIOS upgrades, burn-in testing, failure investigation, inventory accuracy, capacity planning, spare-parts strategy, runbook creation, and new platform qualification. The role serves as the technical owner of physical compute platforms and supports high-density GPU infrastructure across sites.

Architect, deploy, optimize, and operate large-scale GPU clusters for AI training and inference. Responsibilities include distributed PyTorch and NCCL tuning, GPU networking and storage optimization, scheduling, benchmarking, troubleshooting, automation, monitoring, and performance engineering across compute, networking, storage, and software layers. The role supports production environments with hundreds to thousands of GPUs and partners with ML engineers to improve training scalability and inference efficiency.

Leads the design and implementation of enterprise network automation across on-premises and multi-cloud environments. Develops Infrastructure as Code using Python, Ansible, Terraform, Git, and CI/CD pipelines; automates provisioning, configuration, monitoring, compliance, and lifecycle management. Supports routers, switches, firewalls, and load balancers, troubleshoots incidents, performs root cause analysis, and drives network upgrades and cloud adoption. Establishes testing and engineering standards, mentors junior engineers, creates documentation, and participates in on-call support and frequent travel.

Own and advance Yahoo’s enterprise Node.js development environment, including runtimes, packages, container images, internal integrations, and CI/CD workflows. Manage runtime lifecycles, security updates, dependencies, releases, testing, automation, and troubleshooting. Support GitHub Enterprise and GitLab Enterprise while integrating AI programming tools to improve developer productivity. Partner across engineering and security teams, and document platform changes, migrations, and deprecations.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

Lead technical ownership of InfiniBand and GPU interconnect fabric operations for hyperscale AI supercomputers. Drive incident response, deep multi-layer debugging across hardware/firmware/drivers/OS, and define failure models, playbooks, telemetry, and automation to improve reliability, observability, and scalability of GPU clusters and platform SLAs.

Design and implement PostgreSQL internals and indexing/query features for large-scale document workloads, extend query engine with BSON-aware operators and custom scan nodes, tune index pruning and storage, profile distributed systems for performance, collaborate with open-source DocumentDB/PostgreSQL communities, and participate in design/code reviews.

Build and operate internal software, platform services, developer tooling, Kubernetes infrastructure, and reproducible Nix environments. Develop Go and Rust automation, improve CI/CD and reliability, support Linux systems, networking, identity, endpoints, and SaaS platforms, and resolve ambiguous technical problems independently. Partner across engineering, security, operations, and business teams while mentoring engineers and shaping technical direction.

Build and manage Tempo’s infrastructure stack, improve developer velocity and experience, maintain blockchain, validator, and explorer reliability, and support enterprise validator onboarding. The role involves production bare-metal and cloud environments, Kubernetes, infrastructure as code, observability, Linux, networking, security hardening, troubleshooting, and tooling development using Rust, Go, or Python.

Manage and optimize a multi-account AWS environment supporting production healthcare applications and analytics platforms. Responsibilities include AWS infrastructure administration, CI/CD and infrastructure automation, observability, incident response, on-call support, disaster recovery validation, HIPAA/HiTrust compliance, IAM and security controls, and support for containerized Java and Python applications. The role also contributes to Kubernetes and EKS modernization initiatives and partners with developers to resolve complex production issues.

Owns the technical delivery and ongoing support of key customer accounts across AV, unified communications, video conferencing, and cloud collaboration platforms. Leads deployments, upgrades, troubleshooting, escalations, root-cause analysis, documentation, operational readiness, and service transitions. Partners with Sales, Customer Success, Program Management, Service Delivery, vendors, and customer engineering teams. Serves as a senior technical advisor, subject matter expert, and cross-functional leader while driving process improvements and platform administration.

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.