Top Linux Jobs in Miami, FL

Serves as an escalation resource for complex platform support issues, conducting root-cause analysis through database, log, and system diagnostics. Manages technical bug backlogs, monitoring and alerting platforms, access administration, runbooks, and support tooling. Partners with Engineering and customer experience teams on critical cases, escalation criteria, process improvements, automation, and platform reliability. Provides technical mentorship and participates in on-call support for high-priority incidents.

Leads the design, development, configuration, integration, modernization, and production support of Nasdaq Calypso solutions across capital markets functions. Translates business requirements into technical designs, oversees testing and deployments, optimizes performance and resiliency, manages incidents, and ensures compliance with security, regulatory, architecture, and risk standards. Mentors technical teams, coordinates lifecycle initiatives, and partners with business stakeholders, vendors, infrastructure, cybersecurity, and enterprise architecture teams.

Supports and improves enterprise hybrid infrastructure across Linux, Windows, Azure, and on-premises environments. Responsibilities include VoIP and telecommunications support, application and systems troubleshooting, Microsoft 365 administration, vulnerability remediation, monitoring, disaster recovery, documentation, incident response, and on-call support. The role collaborates with technical teams, stakeholders, vendors, and leadership to deliver reliable infrastructure solutions.

Design, build, and maintain highly available AWS GovCloud infrastructure supporting FedRAMP environments. Manage ECS scaling, RDS PostgreSQL performance and failover, infrastructure as code, disaster recovery, monitoring, alerting, CI/CD automation, incident response, troubleshooting, and post-mortems. Collaborate with engineering teams to improve system reliability, security, and performance.

Architect and deliver high-scale NVIDIA GPU compute environments for enterprise AI workloads. Lead bare-metal provisioning, cluster management, operating-system hardening, scheduler and workload configuration, monitoring, performance validation, and day-two operations. Serve as a customer-facing technical authority, supporting presales discovery, architecture, bills of materials, estimation, and client workshops. Design repeatable AI infrastructure across DGX, HGX, MGX, NVL72, and Cisco AI POD platforms.

Leads architecture, provisioning, automation, performance validation, and day-two operations for large-scale NVIDIA GPU clusters and AI compute environments. Designs repeatable bare-metal and Kubernetes-based infrastructure using schedulers, monitoring, networking, and infrastructure-as-code. Serves as the technical authority for DGX, HGX, MGX, NVL72, and Cisco AI POD deployments, while supporting pre-sales discovery, bills of materials, solution estimates, client workshops, and executive-level communication.

Design and operate cloud platforms supporting backend telecom services. Automate deployments, scaling, recovery, and infrastructure provisioning; monitor production systems; maintain observability, alerting, and dashboards; support incident response and on-call operations; manage CI/CD pipelines; and enable engineering, telecom, and data teams through reliable tools and infrastructure.

Develop data conversion code to migrate clients to TaxSys using Perl, SQL, Linux, MySQL, and a proprietary parallel-computing framework. Debug and resolve client data issues, collaborate with data analysts and clients, validate converted data, and support agile teams through successful go-live. Occasional on-site travel is required.

Designs and manages AWS cloud infrastructure and Amazon EKS platforms using GitLab CI/CD and Infrastructure as Code. Builds ETL workflows and scalable data pipelines for analytics and AI workloads, supports MLOps/AIOps and FinOps capabilities, troubleshoots Linux systems, and improves platform performance, security, scalability, and availability.

Improve AWS production infrastructure reliability, observability, performance, and operational maturity. Build Terraform infrastructure, enhance CI/CD, automate operational work, manage incident response and on-call operations, lead postmortems, improve application resilience, support capacity planning and database reliability, and collaborate on security hardening and compliance. Mentor engineers and promote reliability practices across the organization.

Supports and maintains production cloud infrastructure across Verint’s product portfolio. Responsibilities include troubleshooting incidents, provisioning environments, managing Windows and Linux systems across AWS, Azure, and GCP, supporting deployment pipelines, collaborating on client projects, documenting procedures, and contributing to infrastructure upgrades, security initiatives, monitoring, resiliency, and continuous improvement. The role also provides distributed 24/7 operational coverage.

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.

Evaluate and develop compute technologies for an advanced technology lab. Design and build compute environments for sandboxes, proofs of concept, and lab-as-a-service engagements. Create architectural diagrams, access guides, test plans, use cases, and technical designs. Collaborate with customers, sales, partners, and internal teams; support business development and marketing initiatives; maintain OEM partnerships; and achieve certifications required for partner status.

Evaluate and develop compute technologies for the Advanced Technology Center. Design and build compute environments for sandboxes, proofs of concept, and lab-as-a-service engagements. Create architectural diagrams, access guides, test plans, use cases, and high- and low-level designs. Collaborate with customers, partners, sales, and internal teams; support business development and marketing; foster OEM partnerships; and maintain required industry certifications.

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.

Monitor GPUaaS infrastructure, triage alerts, execute runbooks, coordinate incident response, communicate with customers, manage maintenance windows, resolve Tier 1 tickets, and improve monitoring and operational procedures. The role provides 24/7 rotating coverage, including nights, weekends, and holidays, while maintaining shift handoffs and active-incident documentation.

Operate and improve large-scale NVIDIA GPU clusters across bare-metal and rented capacity. Build automation for provisioning, health checks, remediation, monitoring, scheduling, and capacity management. Own Linux images, drivers, CUDA, containers, networking, storage, and Slurm. Diagnose performance and hardware issues, evaluate GPU providers, support ML training workloads, and maintain secure infrastructure. The role also includes hardware installation, datacenter coordination, and vendor management.

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.

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.

The C++ Developer will implement, test and deploy features for a high-frequency trading system, optimize performance, and debug 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.

Lead infrastructure modernization and platform reliability across multiple cloud providers. Design infrastructure as code, operate Kubernetes and Linux environments, improve CI/CD and deployment tooling, establish SLI/SLO practices, strengthen observability, lead incident response, manage cloud costs, and partner on security and compliance. Provide technical leadership through architecture guidance, mentorship, engineering standards, and roadmap development while participating in on-call support.