Infrastructure Engineer Remote Jobs in Michigan (US)
This page tracks remote infrastructure engineer openings that are location-eligible for Michigan.
This page tracks remote infrastructure engineer openings that are location-eligible for Michigan.
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569
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$71,621 - $200,000
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569 Jobs
416 Companies
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
Role Description We are seeking a motivated and detail-oriented Infrastructure Automation & Observability Engineer to join our core Developer team. In this role, you will be instrumental in automating our infrastructure deployments, maintaining a robust observability posture, and actively leading our agile ceremonies. This is a fantastic opportunity for an engineer who is passionate about Infrastructure as Code (IaC), telemetry, and modern DevOps practices to work with enterprise-scale technologies and grow their engineering skillset. - Design, build, and maintain Grafana dashboards and telemetry visualizations to monitor system performance, latency, error rates, saturation, and overall platform health. - Configure and maintain observability solutions, including Prometheus monitoring and alerting, ensuring critical service metrics and SRE Golden Signals are effectively tracked. - Develop, test, and maintain modular Ansible playbooks to automate infrastructure provisioning, application configuration, patching, and operational workflows. - Support enterprise automation through AWX by managing centralized execution, automation templates, RBAC, and reusable infrastructure workflows. - Maintain Infrastructure as Code (IaC) repositories using Git, following best practices for version control, peer code reviews, and CI/CD-driven automation. - Actively participate in Agile ceremonies, including Sprint Planning, Daily Stand-ups, Backlog Refinement, and Retrospectives, contributing to sprint execution and continuous improvement. - Collaborate with Product Owners, Scrum Masters, and engineering teams to translate business requirements into actionable user stories while driving automation, observability, and platform reliability initiatives. Qualifications - 4+ years of experience in DevOps, Infrastructure Automation, Platform Engineering, or Site Reliability Engineering (SRE). - Hands-on experience building and maintaining Grafana dashboards, telemetry visualizations, and observability solutions. - Practical experience developing and maintaining Ansible playbooks for infrastructure provisioning, configuration management, and automation. - Experience configuring monitoring and alerting using Prometheus and Grafana. - Proficiency with Git version control, peer code reviews, and CI/CD workflows. - Working knowledge of Python and/or Bash scripting. - Solid Linux administration skills (Ubuntu, RHEL, or similar). - Experience using Jira in Agile/Scrum environments. Requirements - Experience with Kubernetes and containerized workloads. - Familiarity with metrics storage platforms such as Prometheus, Mimir, or Thanos. - Basic understanding of GitLab CI or other CI/CD platforms. - Knowledge of Infrastructure as Code (IaC) and DevOps best practices. - Familiarity with ITIL processes, change management, and enterprise operational workflows. - Certified ScrumMaster (CSM), Professional Scrum Master (PSM I), or equivalent Scrum Alliance/Scrum.org certification. Benefits - Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. - Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. - Work From Anywhere Culture: make the most of the flexibility that comes with remote work. - Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. - Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. - Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. - Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.
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
Firecrawl is a San Francisco, California-based software company whose core mission is to make web data extraction fast, reliable, and accessible for AI and LLM
Role Description You'll work on the infrastructure that makes Firecrawl fast and reliable against a web that constantly changes and fights back. This is deep systems work: - Keeping success rates high against sites with aggressive defenses - Managing the proxy layer that powers reliable data collection at scale - Pushing throughput and reliability under heavy, spiky load - Owning real infrastructure from day one, not tickets in a backlog Qualifications - 3+ years in backend, networking, or infrastructure engineering - Must already be authorized to work in the US or our eligible remote-hire regions Requirements - You've worked on networking, proxies, or high-throughput backend systems - You're relentless about reliability and comfortable in messy, adversarial problem spaces - You can own a system end to end and keep it healthy in production - You move fast and close the loop - you'd rather ship, measure, and iterate than perfect on paper Benefits - Salary that makes sense — $200,000–$250,000/year, based on impact, not tenure - Own a piece — Up to 0.05% equity in what you're helping build - Generous PTO — 15 days mandatory, anything after 24 days, just ask (holidays excluded) - Parental leave — 12 weeks fully paid, for all parents - Wellness stipend — $100/month for the gym, therapy, massages, or whatever keeps you human - Learning & Development — Expense up to $1,000/year toward anything that helps you grow professionally - Team offsites — A change of scenery, minus the trust falls - Sabbatical — 3 paid months off after 4 years, do something fun and new - Full coverage, no red tape — Medical, dental, and vision (100% for employees, 50% for spouse/kids) - Life & Disability insurance — Employer-paid short-term disability, long-term disability, and life insurance - Supplemental options — Optional accident, critical illness, hospital indemnity, and voluntary life insurance - Doctegrity telehealth — Talk to a doctor from your couch - 401(k) plan — Retirement might be a ways off, but future-you will thank you - Pre-tax benefits — Access to FSAs and commuter benefits (US-only) - Pet insurance — Because fur babies are family too - SF HQ perks — Snacks, drinks, team lunches, intense ping pong, and peak startup energy - E-Bike transportation — A loaner electric bike to get you around the city, on us Interview Process - Application Review — Send us your work and a quick note on why this excites you. - Intro Chat (~25 min) — A quick conversation to get to know each other. - Technical Chat (~45 min) — We'll dig into a real problem from our world. - Founder Chat (~25 min) — Culture, pace, ownership, and how you like to work. - Paid Work Trial (1-2 weeks) — Work with the team on a real, scoped piece of the infrastructure. - Decision — We move fast after the trial.
The future force of global offshore recruitment & outsourcing
• Deploy, configure and maintain Proxmox VE clusters, including storage and Ceph • Manage virtual machine lifecycle across internal and customer environments • Support and maintain Linux and Windows server infrastructure at scale • Design and support network infrastructure: VLANs, routing, SD-WAN and firewalls • Administer cloud infrastructure across Azure and hosted environments • Plan and execute infrastructure and cloud migrations with defined cutover and rollback plans • Size and plan workloads to balance performance against cost • Build automation for provisioning, patching and fleet management • Develop and maintain standardized, repeatable infrastructure configurations • Raise change controls for all work impacting production environments • Seek approval from GM or CTO prior to implementation – each change must include an implementation plan, risk assessment, roll-back plan and testing plan • Maintain accurate infrastructure documentation in Nuclino • Monitor infrastructure health, capacity and resource usage • Support backup and disaster recovery, including periodic recovery testing • Investigate and remediate infrastructure incidents escalated from Level 2
Building foundational AI for speech transcription and understanding.
• Serve as the technical advisor and strategic owner for a portfolio of strategic infrastructure partners, engaging everyone from developers and platform/ML engineers to CIOs and CTOs. • Own the full partner lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy. • Drive joint adoption through live demos, workshops, deployment architecture guidance, benchmarking, troubleshooting, and best-practice recommendations — making Deepgram successful inside the partner’s environment and on the partner’s hardware and platforms. • Lead joint technical validation: scope and run POCs and evaluations that prove Deepgram models on partner infrastructure across self-hosted, on-prem, air-gapped, dedicated, and on-device/edge deployments, including security-sensitive and regulated use cases. • Run discovery continuously: surface partner problems, understand their business impact, and translate them into actionable requirements for product and engineering. • Identify and scope expansion (cross-sell, upsell, multi-product, co-sell) in partnership with Sales, and activate partner channels — OEMs, distributors, marketplaces, and cloud/inference providers — to reach their customer base. Lead executive business reviews and joint planning sessions. • Support joint go-to-market and co-marketing in partnership with Marketing — joint blogs, one-pagers, PR, and live demos at partner events and industry conferences — to drive awareness and activate the channel. • Act as the voice of the partner internally — influencing roadmap (especially deployment, self-hosted, security, and edge), GTM strategy, and the tools we build to support partners. • Track adoption, usage, health, and expansion to drive outcomes; travel to partner sites and events as needed. • Operate AI-first by default, and build tools, agents, and workflows that eliminate recurring work for you and the broader team. Your impact is measured by the leverage you create, not just the partners you serve.
Role Description This is a professional and highly technical position responsible for maintaining, upgrading, and managing server infrastructure, software, hardware, and networks. The Infrastructure Engineer is responsible for: - Maintaining, upgrading, and managing core server infrastructure, software, hardware, and networks. - Diagnosing and resolving problems quickly. - Communicating with a variety of interdisciplinary teams and users. - Ensuring that technology infrastructure runs smoothly and efficiently. - Collaborating with firewall, security, and network systems. Work is performed under the limited supervision of the Enterprise Infrastructure Manager. Examples of Duties Essential duties and responsibilities include, but are not limited to: - Install new/rebuild existing servers and configure hardware, peripherals, services, settings, directories, storage, etc. in accordance with industry standards and project/operational requirements. - Oversee the administration, configuration, security, and lifecycle management of the organization’s Microsoft 365 environment to ensure reliability, compliance, and optimized user productivity. - Perform daily system monitoring, verifying the integrity and availability of all hardware, server resources, systems, and key processes, reviewing system and application logs. - Monitor daily backup operations, ensuring all required file systems and system data are successfully backed up to the appropriate location and are recoverable. - Repair and recover from hardware or software failures. - Perform Networking and Server Troubleshooting. - Apply OS patches and upgrades on a regular basis and upgrade administrative tools and utilities. - Configure/add new services as necessary. - Configure CPU, memory, and disk partitions as required. - Coordinate and communicate with impacted constituencies to develop, maintain, and test DR plans to ensure compliance with the Department’s DR plan. - Research and recommend innovative, and where possible, automated approaches for system administration tasks. - Develop and maintain installation and configuration procedures. - Contribute to and maintain system standards. - On-Call rotation with other Infrastructure team members which includes after hours, weekends, and holidays. - Perform other duties as required or requested. Qualifications - Bachelor’s degree in Information Technology, Computer Science or a related field and three years of related experience; OR - Associate degree in Information Technology, Computer Science or a related field and five years of related experience; OR - High School Diploma with seven years of related experience. Requirements - Knowledge of industry standards, methods, best practices, and procedures related to server, user, mail, disaster recovery, security, and storage administration. - Knowledge of project management techniques, planning, and resource deployment. - Knowledge and experience managing cybersecurity initiatives by implementing best-practice security controls. - Ability to work closely with and provide guidance to other infrastructure staff. - Ability to fully manage Microsoft Office 365, Teams and Azure. - Ability to manage servers within a hyperconverged architecture. - Ability to manage services and protocols on servers like DHCP, DNS, Active Directory, FTP, SSL, etc. - Ability to perform technical research and development to enable continuing innovation within the infrastructure. - Ability to provide advice and recommendations involving rather complex issues. - Ability to analyze and resolve problems using logical thought processes. - Ability to work well under pressure and independently. - Ability to multi-task and work in a dynamic and fast-paced environment. - Ability to establish and maintain good intra departmental and interdepartmental working relationships. - Excellent oral, written, and interpersonal communication and analysis skills. Company Description
Role Description We are seeking an Infrastructure Storage Engineer with deep expertise across enterprise storage platforms — NetApp ONTAP, Pure Storage, and Ceph — to design, deploy, and operate the storage foundation that supports our compute, virtualization, database, and Kubernetes workloads. The role spans block, file, and object storage across data center, edge, and cloud environments, with strong attention to performance, data protection, and cost. The ideal candidate has operated heterogeneous storage estates at scale, understands the storage characteristics of diverse workloads, and brings strong automation discipline to storage engineering work. Key Responsibilities - Design and operate enterprise storage platforms across NetApp ONTAP, Pure Storage FlashArray/FlashBlade, and Ceph. - Implement and manage SAN, NAS, and object storage across data center and cloud environments. - Build storage solutions for VMware, Kubernetes (CSI drivers), and database workloads. - Design and operate replication, snapshot, and backup strategies for critical data assets. - Implement and operate cloud-tiered storage with FabricPool, CloudVolumes, or equivalent. - Build storage automation using Ansible, Terraform, REST APIs, and platform-native automation. - Operate Ceph clusters including OSD lifecycle, CRUSH maps, RGW, RBD, and CephFS. - Design and operate storage performance management for high-throughput and latency-sensitive workloads. - Implement data protection strategies including ransomware protection and immutable snapshots. - Build storage observability across capacity, performance, and health dimensions. - Lead storage upgrades, firmware lifecycle management, and security patching across the storage estate. - Drive storage cost optimization including deduplication, compression, and tiering strategies. - Troubleshoot complex storage issues spanning array, network, and host layers. - Stay current with storage industry developments and emerging platforms. Qualifications - Bachelor’s degree in Computer Science, Information Systems, or a related field. - Five or more years of enterprise storage engineering experience. - Deep expertise in NetApp ONTAP or Pure Storage FlashArray/FlashBlade. - Hands-on experience with Ceph at production scale. - Strong understanding of SAN, NAS, and object storage protocols. - Experience with storage integration for VMware and Kubernetes (CSI). - Strong scripting and automation skills using Ansible, Terraform, or REST APIs. - Strong understanding of storage performance, capacity planning, and cost optimization. - Strong troubleshooting skills across storage, network, and host layers. - Excellent communication and collaboration skills. Preferred Qualifications - Vendor certifications (NCDA, NCIE, Pure Storage certifications). - Experience with hybrid-cloud storage replication. - Familiarity with software-defined storage platforms beyond Ceph. - Experience with object storage at petabyte scale. - Exposure to AI/ML workloads with extreme I/O requirements. How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544.
Role Description We are seeking an AI 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. Key Responsibilities - 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. 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. Preferred Qualifications - Experience operating InfiniBand or RDMA networking at scale. - Contributions to open-source ML infrastructure projects. - Familiarity with custom orchestrators or research-grade training stacks. - Exposure to frontier model training operations. - Experience with FinOps for AI workloads. 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) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com .
Restoring natural systems through adaptive planning and market incentives
• Design, build, and maintain scalable, secure, and cost-efficient cloud infrastructure on AWS using Infrastructure as Code best practices. • Own and evolve our Atmos-based IaC framework, including stack configuration, component architecture, and environment lifecycle management. • Develop and maintain Terraform and OpenTofu modules and components, ensuring reusability, consistency, and DRY configuration across environments. • Lead and mature our CI/CD infrastructure pipelines using GitHub Actions, enabling reliable and automated infrastructure deployments. • Manage containerized workloads using Docker and Kubernetes (Helm), supporting our engineering and data science teams. • Build and maintain observability infrastructure using Prometheus and Grafana to ensure system reliability, performance visibility, and rapid incident response. • Collaborate closely with engineers, scientists, and other stakeholders to translate requirements into robust infrastructure solutions. • Lead and participate in development lifecycle activities including design, code review, testing, and production releases. • Mentor and support other engineers, deeply reviewing infrastructure code and elevating engineering standards across the team. • Contribute to our evolving engineering culture, standards, tooling, and processes. • Comply with Vibrant Planet’s Information Security Policy and the full security responsibilities detailed in the Employee Handbook, including complete required security training, safeguard customer and company data, keep credentials secure, and report suspected security incidents or policy violations through established channels. • Follow secure development practices, adhere to established change management processes for production systems, protect the confidentiality and integrity of customer data, and promptly address security vulnerabilities in your area of responsibility.
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Ansible, Python, Kubernetes, Cloud, Terraform, Observability/Monitoring