Infrastructure Engineer Remote Jobs in Florida (US)
This page tracks remote infrastructure engineer openings that are location-eligible for Florida.
This page tracks remote infrastructure engineer openings that are location-eligible for Florida.
Open jobs
581
Hiring companies this week
7
Salary sample
$100 - $190,000
Jobs added last hour
0
581 Jobs
424 Companies
• Build, automate, and operate scalable cloud infrastructure (AWS, GCP, Azure) • Design and maintain CI/CD pipelines • Develop and enhance a self-service platform for data scientists and engineers • Embed security, data governance, quality, and compliance by design • Evaluate and integrate new tools and services • Collaborate with leadership and cross-functional teams to translate requirements into capabilities • Mentor engineers while driving technical standards and continuous learning.
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
Role Description We are seeking an ML Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on: - GPU clusters - Distributed training frameworks - Scheduling - Storage performance - Developer experience for ML engineers and researchers The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work. Qualifications - Bachelor’s or Master’s degree in Computer Science or a related field. - Six or more years of experience in infrastructure, platform, or HPC engineering. - Hands-on experience operating GPU clusters or large-scale ML training infrastructure. - Strong proficiency in Python and at least one systems language such as Go or C++. - Deep understanding of distributed training, accelerator architectures, and collective communication. - Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads. - Strong understanding of Linux internals, networking, and high-performance storage. - Experience with at least one major cloud provider’s ML infrastructure offerings. - Strong software engineering practices including testing, CI/CD, and code review. - Excellent communication and cross-functional collaboration skills. Requirements - Design and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurations. - Build scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teams. - Integrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offering. - Operate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rate. - Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication. - Build observability for AI workloads including utilization, throughput, training stability, and failure-mode analytics. - Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scale. - Drive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizing. - Develop developer tooling and paved-road workflows that let researchers launch experiments safely and efficiently. - Partner with research and applied ML teams to plan capacity for upcoming training runs. - Implement security controls, isolation, and access management for multi-tenant AI infrastructure. - Drive automation across cluster provisioning, lifecycle management, and configuration enforcement. - Maintain runbooks, capacity dashboards, and operational documentation for the AI platform. - Stay current with AI infrastructure research, accelerator hardware, and emerging open-source AI tooling. Benefits - 100% remote, full-time, direct W2 position with Bright Vision Technologies. - Support for H1B transfers for qualified candidates. - Tremendous career growth potential.
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
Role Description We are seeking an Infrastructure Automation Engineer who blends strong Python development skills with deep networking domain expertise to automate network configuration, change management, and observability across multi-vendor enterprise networks. The role focuses on building production-grade automation using modern network APIs, infrastructure-as-code, and CI/CD practices that bring software engineering discipline to network operations. The ideal candidate writes idiomatic Python, has shipped network automation in production, and combines networking depth with practical software-engineering rigor. In this role, you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Key Responsibilities - Design and develop network automation solutions in Python using Netmiko, Nornir, NAPALM, and Scrapli. - Build automation pipelines for configuration management, deployment, and validation across multi-vendor environments. - Develop integrations with network APIs including NETCONF, RESTCONF, gNMI, and vendor-specific APIs. - Implement source-of-truth platforms such as NetBox or Nautobot and drive automation from authoritative data. - Build infrastructure-as-code for network configuration using Ansible, Terraform, and Jinja2 templating. - Implement network testing and validation using pyATS, Genie, Batfish, and Suzieq. - Develop CI/CD pipelines for network changes including pre-deployment validation and rollback. - Build observability and telemetry pipelines using gNMI, streaming telemetry, and modern analytics platforms. - Implement intent-based networking patterns and self-healing network workflows that let the network express desired state declaratively and converge toward it automatically when drift or failures occur. - Automate compliance and audit workflows across the network estate, generating evidence on demand and continuously verifying that network configuration matches the policies the organization has committed to. - Partner with network engineering teams to identify and automate high-impact manual workflows. - Develop reusable libraries, frameworks, and abstractions adopted across multiple automation efforts. - Mentor network engineers on Python development, software engineering practices, and modern automation patterns. - Stay current with network automation tooling, vendor API evolution, and broader industry developments. Qualifications - Bachelor’s degree in Computer Science, Networking, or a related field. - Five or more years of network automation experience. - Strong Python development skills including OOP, testing, and packaging. - Deep networking fundamentals including routing, switching, and BGP. - Hands-on experience with Netmiko, NAPALM, Nornir, or Scrapli. - Experience with modern network APIs (NETCONF, RESTCONF, gNMI). - Strong experience with Ansible and Jinja2 templating for network automation. - Familiarity with NetBox, Nautobot, or other source-of-truth platforms. - Strong Git-based workflows and CI/CD experience. - Excellent communication and collaboration skills. Preferred Qualifications - Cisco DevNet or vendor automation certifications. - Experience with multi-vendor networks (Cisco, Arista, Juniper). - Familiarity with streaming telemetry and modern observability stacks. - Open-source contributions to network automation projects. - Experience with cloud networking automation in addition to on-premises. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com .
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
Role Description We are seeking an AI Infrastructure Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency. Key Responsibilities - Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows. - Build ingestion systems for diverse modalities including text, image, audio, video, and structured signals. - Implement data cleaning, deduplication, filtering, and quality assurance at petabyte scale. - Develop dataset versioning, lineage, and provenance tracking systems suitable for reproducible training. - Build high-throughput data loading systems that maximize GPU utilization during training. - Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement systems. - Design storage architectures balancing cost, throughput, and latency across data tiers. - Build evaluation dataset construction pipelines with strict integrity and contamination controls. - Implement data privacy, redaction, and consent enforcement throughout the pipeline. - Collaborate with ML researchers and engineers to align data systems with model development needs. - Drive observability of data quality, drift, and pipeline health across the AI data estate. - Optimize cost and performance through compression, format selection, and caching strategies. - Document data systems, schemas, and operational procedures for broad internal use. - Stay current with AI data infrastructure research and emerging open-source tools. Qualifications - Bachelor’s or Master’s degree in Computer Science or a related field. - Six or more years of data engineering experience, with significant work supporting ML or AI workloads. - Strong proficiency in Python and at least one JVM or systems language. - Deep experience with modern data processing frameworks such as Spark, Ray, or Beam. - Hands-on experience operating petabyte-scale storage and pipeline systems. - Strong understanding of distributed systems, data modeling, and storage formats. - Experience with dataset versioning, lineage, and reproducibility for ML workflows. - Familiarity with high-throughput data loading for accelerator-based training. - Strong software engineering practices including testing, CI/CD, and code review. - Excellent communication and cross-functional collaboration skills. Preferred Qualifications - Experience with multimodal datasets at large scale. - Familiarity with data quality tooling and dataset evaluation methodology. - Exposure to privacy-preserving data systems and regulated data handling. - Open-source contributions to data infrastructure projects. - Experience supporting frontier model training pipelines. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com .
The DLS Discovery Legal team provides leading e-Discovery and legal support services.
• Define and own the architecture vision, standards, and roadmap for KLDiscovery's client-hosting platforms • Lead architecture for major client-platform programs, including Nebula and Relativity hosting modernization, client data migrations at scale, multi-region expansion, and storage architecture for client review and processing workloads • Own cloud and network architecture strategy for client-facing platforms • Provide architectural oversight and review gates for cross-functional programs • Partner with the security organization on tenant isolation, client data protection, audit and compliance posture • Lead, mentor, and develop team, setting technical direction and raising the bar on design quality • Advise senior IT, Product, Client Services, and Sales and Solutions Engineering leaders on technology investments, build-versus-buy decisions
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
Role Description We are looking for a VMware Infrastructure Engineer to design, deploy, and operate VMware-based virtualization, software-defined networking, and software-defined storage platforms across on-premises and hybrid cloud environments. The role covers: - vSphere - vSAN - NSX - Aria - Tanzu The focus is on automation, capacity management, and the practical realities of operating a large VMware estate alongside modern cloud-native workloads. The ideal candidate has operated VMware platforms at enterprise scale, navigates the evolving VMware product landscape pragmatically, and brings strong automation and operations discipline. Qualifications - Bachelor’s degree in Computer Science, Information Systems, or a related field. - Five or more years of hands-on VMware platform engineering experience. - Deep expertise in vSphere, vCenter, and ESXi. - Hands-on experience with vSAN and storage policy management. - Experience with NSX-T or NSX-V networking. - Strong PowerCLI scripting skills and experience with automation tooling. - Familiarity with Tanzu Kubernetes Grid or VMware container platforms. - Strong understanding of disaster recovery patterns and SRM. - Strong troubleshooting skills across compute, network, and storage layers. - Excellent communication and collaboration skills. Requirements - Design and operate VMware vSphere, vSAN, and NSX environments across data centers and hybrid cloud deployments. - Build and maintain Tanzu Kubernetes Grid environments for containerized workloads. - Implement vRealize / Aria Automation for self-service VM provisioning, lifecycle management, and policy enforcement. - Operate NSX-T for software-defined networking, including micro-segmentation and load balancing. - Manage vSAN clusters, storage policies, and storage performance for diverse workload classes. - Implement disaster recovery and business continuity using Site Recovery Manager and replication. - Build automation for VMware infrastructure using PowerCLI, Terraform, Ansible, and vRO. - Design capacity management strategies including right-sizing, reservation, and workload placement. - Operate VMware Cloud Foundation (VCF) deployments where applicable, applying lifecycle management, workload domain design, and integration patterns appropriate to the broader hybrid cloud strategy. - Implement and operate VMware integrations with cloud providers (VMware Cloud on AWS, AVS, GCVE). - Build observability for VMware infrastructure including performance, capacity, and compliance. - Lead VMware upgrades, lifecycle management cycles, and security patching across the virtualization estate, planning carefully sequenced rollouts that minimize disruption to dependent workloads. - Troubleshoot complex VMware issues spanning compute, network, and storage layers. - Stay current with VMware product evolution following the Broadcom transition. Benefits - 100% Remote work opportunity. - Full-time, direct W2 position. - Salary range: $100K - $150K. - Career growth potential within an established organization. How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
Connecting the world’s health data to improve patient outcomes.
• Design, implement, and optimize cloud-native infrastructure using best practices for security, scalability, and high availability • Integrate newly acquired cloud environments into the organization’s cloud footprint • Develop and implement hybrid-cloud and cross-cloud connectivity strategies • Architect, optimize, and maintain secure network infrastructure in Azure, AWS, & GCP • Collaborate with security teams to enforce Zero Trust networking • Maintain and expand a modular network security edge • Automate cloud infrastructure provisioning using Terraform and Ansible • Implement policy-based automation • Support observability teams with infrastructure monitoring and alerting • Drive transformation and standardization of foundational infrastructure services
Archesys is a technology firm specializing in innovative cloud solutions and services for clients across various industries. We pride ourselves on cutting-edge technologies, exceptional customer service, and a collaborative work environment.
Role Description This is a fully remote, full-time position. We’re looking for a mid to senior-level Cloud Infrastructure Engineer to strengthen our end-to-end delivery and operational capabilities across: - CI/CD automation - Build and release engineering - Container security - AWS cloud enablement - Reliability tooling This role is highly hands-on and innovation-driven: - Prototype new DevOps and cloud automation approaches - Validate prototypes quickly - Turn successful prototypes into reusable standards (shared pipeline modules, secure base artifacts, and repeatable infrastructure/patterns) Integrate quality and security controls using tools like: - JFrog Artifactory/Xray - SonarQube - GitHub - Grafana - Optionally Datadog/New Relic Build Python-based automation that reduces toil and improves consistency across environments—including AWS services such as: - RDS - Glue - QuickSight Qualifications - Bachelor’s degree in computer science, Software Engineering, or related field, or equivalent practical experience - 4–8+ years’ experience in DevOps / Platform Engineering / CI/CD / Cloud Engineering (mid to senior level) - Strong hands-on expertise in Jenkins, including Jenkins Shared Libraries and reusable pipeline modules - Strong knowledge of Docker and container fundamentals (container OS concepts, layering, caching, base image strategies) - Hands-on experience with JFrog Artifactory and JFrog Xray (policies, scanning, governance, promotion workflows) - Infrastructure as Code experience (Terraform / CloudFormation / Ansible) - Strong understanding of semantic versioning and release management discipline - Solid experience with AWS and familiarity with RDS, Glue, and QuickSight - Proficiency in Python for automation, tooling, and integrations - Experience with DevOps tools such as GitHub, SonarQube, and Grafana - Strong communication skills; comfortable collaborating in a fully remote environment Requirements - A willingness to continually learn and adapt to the evolving technology landscape - Ability to work in a fast-paced environment and manage multiple projects simultaneously - All work must be conducted within the U.S., excluding U.S. territories - Some federal contracts require U.S. citizenship to be eligible for employment - You must be legally authorized to work in the U.S. now and in the future without sponsorship - As the US Government is our clientele, you may be required to obtain a public trust or security clearance - Some of our available roles are on federal contracts that require a degree or additional years of experience as a substitute Benefits - Competitive salary and benefits package, including health, dental, and vision insurance - Retirement plan and generous paid time off - Opportunity to work with a talented team of professionals on exciting and innovative projects - Flexible work arrangements, including remote work options - Continuous learning and development opportunities, including access to training resources and professional development programs - A collaborative, inclusive work environment that values diversity and encourages growth
Project Management Institute, Inc. is committed to providing equal employment opportunities without regard to sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by applicable law.
Role Description Are you a dreamer, innovator, thinker and a do-er who believes in contributing to something that makes a difference? Pursue your passion. Join PMI. You will serve as a senior technical contributor responsible for designing, engineering, and supporting secure, scalable cloud infrastructure with a primary focus on Microsoft Azure. Leading infrastructure and security-driven design decisions across network architecture, identity, and data protection, while partnering closely with engineering and security teams to embed controls into all cloud solutions and advance modernization initiatives. Leveraging Infrastructure-as-Code, cloud best practices, and expertise in identity and access management, you will ensure environments are reliable, resilient, and cost-efficient, while aligning with enterprise standards, governance requirements, and evolving business and technology needs. Qualifications - Deep expertise in Microsoft Azure cloud platforms and services. - Working knowledge of other major cloud environments including AWS and GCP. - Proven experience architecting and engineering secure cloud solutions, including network security, segmentation, and zero-trust principles. - Hands-on experience with Infrastructure-as-Code, preferably ARM templates or Bicep (Terraform also valuable). - Experience with CI/CD Deployment Tools, preferably Azure DevOps (ADO). - Strong understanding and practical experience with IAM, RBAC, and identity governance in cloud platforms. - Solid knowledge of cloud security frameworks, best practices, and compliance considerations. - Strong troubleshooting and analytical skills with the ability to perform root cause analysis and resolve complex infrastructure issues. - Experience with emerging AI tooling and technologies, particularly in evaluating, securing, and governing AI-enabled platforms, MCP/integrations, and data access patterns. - Strong documentation and diagramming skills, with the ability to clearly communicate architecture, design, and operational procedures. - Ability to rapidly learn new technologies, evaluate options, and move work forward even when requirements, priorities, and technical direction may still be evolving. - Light development experience is a plus, particularly with .NET and React, to support application teams and better understand end-to-end solution design. Benefits - An excellent total package, with compensation and benefits based upon your geographic location. - Skill development opportunities, to help you grow now and into the future. - Access to a global network, to enrich your professional experience. - Flexible options to help balance work time and your time. - Award and bonus opportunities.
Patient Focused - Physician Driven - U.S. Urology Partners understands independence is important to urology practices.
• Reporting directly to the CIO, responsible for design, build, and architecture of enterprise infrastructure • Define and own the enterprise infrastructure technology roadmap • Architect scalable, resilient, and secure solutions across network, compute, storage, and cloud • Lead infrastructure design for M&A integration and affiliate onboarding • Design and build enterprise network architecture across LAN, WAN, and SD-WAN domains • Architect and build USUP's hybrid cloud environment • Lead security architecture and engineering across all infrastructure domains • Develop a geographically distributed infrastructure engineering team
571more opportunities are still waiting for you.Log in now and take your next shot before someone else does.
Terraform, AWS, Azure, Python, CI/CD, Cloud