Gmi Cloud Jobs in Usa
1,966 positions found — Page 88
Senior Enterprise Account Executive
Enterprise IT Services | AI | Azure | Cloud Modernization | Digital Transformation
Location: Hybrid – Farmington Hills, MI (3 days/week)
Base: $100,000–$155,000
OTE: $200,000–$400,000+ (Uncapped, Accelerators)
Company: Softura
Job Type: Full-Time
Drive Enterprise Growth on a Proven Platform
Softura is a 25+ year enterprise technology services firm with 300+ global delivery professionals supporting modernization initiatives across Manufacturing, Healthcare, Industrial, Logistics, and Professional Services.
We deliver AI-driven automation, Azure cloud modernization, enterprise data transformation, and custom application engineering solutions.
We are expanding our U.S. enterprise sales organization and hiring a Senior Enterprise Account Executive to drive strategic net-new growth.
Why This Opportunity Stands Out
At Softura, you will have:
- 25+ years of delivery credibility
- 300+ engineers across cloud, AI, and modernization
- Executive involvement in strategic pursuits
- Agile engagement model vs. large consulting firms
- Dedicated pre-sales and solution architecture support
- Direct access to senior leadership
- You will own your territory with meaningful internal backing.
The Role
This is a pure enterprise acquisition role focused on net-new logos and strategic expansion.
You will:
- Develop and own an enterprise territory
- Generate and close net-new opportunities
- Lead full sales cycle from prospecting to contract execution
- Close 6- and 7-figure transformation engagements
- Engage CIOs, CTOs, and senior business stakeholders
- Partner with solution architects to craft differentiated proposals
Performance Profile
- Annual quota aligned to $200K–$400K+ OTE
- Target deal size: Mid-to-large 6- and 7-figure engagements
- Typical sales cycle: 4–9 months
- Supported by pre-sales, delivery leadership, and executive sponsors
Ideal Background
- 5+ years selling enterprise IT services, cloud, AI, or digital transformation
- Proven success closing 6- or 7-figure engagements
- Strong net-new pipeline generation capability
- Experience with offshore or blended delivery models
- Ability to position Azure, AI/ML, and modernization solutions at a business level
- Industry exposure in Manufacturing, Healthcare, Industrial, Logistics, or Professional Services preferred
Compensation & Benefits
- Base: $100K–$155K
- OTE: $200K–$400K+
- Uncapped commission with accelerators
- Health, dental, vision
- 401(k) with company contribution
- Paid time off
Career Growth
This is a strategic expansion role. Top performers will have opportunities to influence vertical strategy, shape go-to-market direction, and grow into regional or national leadership roles.
Interested?
If you are an enterprise IT services sales professional motivated by building new revenue streams and closing strategic transformation engagements, we welcome a confidential conversation.
Apply directly or message us to connect.
This is a hands-on, operations-focused role responsible for the reliability, lifecycle management, and continuous improvement of compute, storage, and networking infrastructure.
The ideal candidate thrives in large-scale production environments, excels in troubleshooting complex hardware issues, and is passionate about automation, reliability, and operational excellence.
Responsibilities Own and operate physical datacenter hardware including compute, storage, and networking systems Execute day-2 hardware operations: installation, break/fix, firmware upgrades, patching, lifecycle management Manage hardware capacity planning, expansions, refresh cycles, and decommissions Troubleshoot complex issues related to: Server hardware (CPU, memory, disks, NICs, HBAs) Storage systems and disk subsystems Network connectivity and physical switches Manage firmware, BIOS, and hardware management controllers (iDRAC, iLO, Redfish, etc.) Collaborate with platform, SRE, network, storage, and security teams during incidents and maintenance Improve hardware reliability through standardization, automation, and proactive monitoring Build automation for provisioning and operations (Ansible, CI/CD, IaC, etc.) Lead incident response and drive RCA, corrective, and preventive actions Maintain documentation including runbooks, standards, and operational playbooks Mentor junior team members and help increase operational maturity Requirements 7+ years of experience in infrastructure, datacenter, or hardware engineering Strong hands-on experience with large-scale server, storage, and network hardware Expertise in x86 architecture, CPU topology, NUMA, memory/I/O subsystems Experience operating enterprise storage systems with strong understanding of performance and resiliency Familiarity with L2/L3 networking, VLANs, NIC bonding, and physical switching Strong Linux fundamentals and ability to diagnose hardware-related OS issues Experience in hardware lifecycle management and vendor coordination Proven ability to automate operational workflows Experience supporting highly available, production-grade infrastructure with on-call rotation Nice to Have Experience with private cloud or on-prem cloud hardware platforms Familiarity with OME, OneView, Intersight, or similar vendor fleet management tools Knowledge of bare-metal provisioning systems and automation tooling Experience integrating hardware with virtualization or container platforms Understanding of IPMI, Redfish, and other hardware management APIs Vendor certifications or hands-on expertise with major server/storage manufacturers Experience operating infrastructure across multiple datacenters or global environments
Job Title: Cloud Developer
Location: Boston, MA
Job Type: Full-Time
Job Description
We are seeking an AWS-focused engineer to build and operate a cloud analytics and dashboard layer for device and fleet data. Data lands in S3 and is queried primarily through Amazon Athena. You will own the end-to-end delivery of reliable datasets, SQL queries, and visualization dashboards used by engineering and operations teams. This role requires strong execution in a fast-paced, ambiguous environment, with a high bar for quality, operational excellence, and written communication.
Responsibilities
- Own dashboard and analytics deliverables end-to-end (design → build → test → release → operate).
- Build and maintain Amazon Athena SQL queries, views, and datasets that support filtering, drill-down analysis, and repeatable reporting.
- Develop and enhance dashboards using QuickSight and/or CloudWatch dashboards (or equivalent AWS-native visualization tooling).
- Define metrics/KPIs with stakeholders and translate requirements into clear, actionable visualizations.
- Improve cost and performance of analytics workflows (partition strategies, query optimization, efficient formats, and operational guardrails).
- Drive data quality and correctness: detect schema changes, missing partitions, late data, and regressions; write RCAs and implement durable fixes.
- Implement mechanisms that scale (dashboards as mechanisms, SLIs/SLOs where applicable, alarms, runbooks, and automated checks).
- Collaborate cross-functionally with teams responsible for ingestion/ETL; contribute to ETL as a plus (Lambda, Step Functions, scheduling).
Essential Skills
- 4+ years of relevant experience delivering dashboards and analytics solutions in AWS.
- Strong SQL proficiency with experience building maintainable, production-grade query logic.
- Hands-on experience with Amazon Athena and S3-based analytics workflows.
- Experience with QuickSight and/or CloudWatch dashboards (or comparable visualization tools integrated with AWS).
- Proficiency in TypeScript (expected usage mix approximately 60% TypeScript / 40% other technologies).
- Strong SDLC discipline: Git, code reviews, automated testing, and CI/CD.
- Strong troubleshooting and root-cause analysis skills; ability to drive issues to closure.
- Strong written communication (design notes, operational runbooks, incident summaries).
- Experience with AWS CDK (TypeScript) and Infrastructure as Code practices.
Additional Skills & Qualifications
- Experience building or supporting ETL pipelines using AWS Lambda, Step Functions, Glue, and/or EventBridge.
- Familiarity with IoT/telemetry data flows (device-to-cloud) and schema evolution patterns.
- Experience with observability (logs/metrics/alerts), operational excellence practices, and on-call readiness.
Work Environment
This role operates in a dynamic environment focusing on AWS technologies, including Amazon Athena, S3, QuickSight, CloudWatch, and AWS CDK. The position requires a high level of collaboration across teams, with a strong emphasis on quality and operational excellence. You will engage in cross-functional projects and contribute to the end-to-end analytics solutions within a fast-paced setting.
Account Executive / Senior Account Executive — Bare Metal Cloud Proof Group · San Francisco (SOMA), CA — In-Person
About Proof Group
Proof Group is a next-generation investment firm and financial infrastructure provider building the physical backbone of the AI era. We develop, own, and operate critical infrastructure assets — and we're now operating a bare metal cloud facility in SOMA, San Francisco.
Purpose-built, high-performance, and designed for the workloads that hyperscalers can't serve.
The Role
We're looking for a hungry, technical seller to own revenue for our bare metal cloud. You'll carry a quarterly quota selling bare metal hosting and colocation to enterprise and AI-native customers — working a differentiated product in one of the most supply-constrained markets in the world.
This is an early seat with real upside: you'll help shape the commercial motion, not just execute it.
What You'll Do
- Own pipeline generation — you're expected to prospect, not just close inbound
- Develop and close new business across enterprise, AI, and HPC customer segments
- Bring your existing network to bear — this role rewards relationships
- Use best-in-class AI sales tools to research, prioritize, and engage accounts; we expect fluency here, not curiosity
- Partner closely with leadership to refine positioning, pricing, and go-to-market
What We're Looking For
- 3–7 years in data center, colocation, or bare metal sales with a track record of hitting quota
- Familiarity with HPC and AI infrastructure — you understand the workloads and can have a real technical conversation
- Existing relationships with enterprise or AI-native buyers you can activate quickly
- A self-starter who builds their own pipeline and doesn't wait for leads to come to them
- Comfortable and current with modern AI-powered sales tools and using models to drive productivity
Bonus Points
- Interest in venture capital, early-stage investing, or emerging technologies
Location
This role is in-person at our SOMA facility, with flexibility to work from Proof Group's offices in Menlo Park.
Compensation
- Competitive base salary + quarterly quota with uncapped commission upside
- OTE $220K–$280K depending on experience
Proof Group is an equal opportunity employer.
Job Title: Cloud Automation Engineer
Location: Boston, MA
Employment Type: Full-Time
Job Description
We are seeking an AWS-focused engineer to build and operate a cloud analytics and dashboard layer for device and fleet data. Data lands in S3 and is queried primarily through Amazon Athena. You will own the end-to-end delivery of reliable datasets, SQL queries, and visualization dashboards used by engineering and operations teams. This role requires strong execution in a fast-paced, ambiguous environment, with a high bar for quality, operational excellence, and written communication.
Responsibilities
- Own dashboard and analytics deliverables end-to-end (design → build → test → release → operate).
- Build and maintain Amazon Athena SQL queries, views, and datasets that support filtering, drill-down analysis, and repeatable reporting.
- Develop and enhance dashboards using QuickSight and/or CloudWatch dashboards (or equivalent AWS-native visualization tooling).
- Define metrics/KPIs with stakeholders and translate requirements into clear, actionable visualizations.
- Improve cost and performance of analytics workflows (partition strategies, query optimization, efficient formats, and operational guardrails).
- Drive data quality and correctness: detect schema changes, missing partitions, late data, and regressions; write RCAs and implement durable fixes.
- Implement mechanisms that scale (dashboards as mechanisms, SLIs/SLOs where applicable, alarms, runbooks, and automated checks).
- Collaborate cross-functionally with teams responsible for ingestion/ETL; contribute to ETL as a plus (Lambda, Step Functions, scheduling).
Essential Skills
- 4+ years of relevant experience delivering dashboards and analytics solutions in AWS.
- Strong SQL proficiency with experience building maintainable, production-grade query logic.
- Hands-on experience with Amazon Athena and S3-based analytics workflows.
- Experience with QuickSight and/or CloudWatch dashboards (or comparable visualization tools integrated with AWS).
- Proficiency in TypeScript (expected usage mix approximately 60% TypeScript / 40% other technologies).
- Strong SDLC discipline: Git, code reviews, automated testing, and CI/CD.
- Strong troubleshooting and root-cause analysis skills; ability to drive issues to closure.
- Strong written communication (design notes, operational runbooks, incident summaries).
- Experience with AWS CDK (TypeScript) and Infrastructure as Code practices.
*Please include your Linkedin on your resume
* Job Summary: Seeking an experienced Cloud Platform Engineer with strong Red Hat OpenShift and Linux systems engineering expertise.
This role focuses on designing, deploying, and operating enterprise-scale OpenShift platforms in on-prem datacenter environments, working closely with SRE teams and program management.
Key Responsibilities: Platform Engineering Design, deploy, and manage enterprise-scale Red Hat OpenShift clusters in on-prem datacenter environments.
Architect highly available, scalable, and secure OpenShift platforms.
Implement cluster lifecycle management (installation, upgrades, patching, scaling).
Configure networking, storage, ingress, and security components for OpenShift.
Infrastructure Build & Automation Build and automate infrastructure in datacenter environments (compute, storage, networking).
Integrate OpenShift with virtualization platforms (VMware/other hypervisors as applicable).
Develop Infrastructure-as-Code (IaC) solutions using tools such as Terraform, Ansible, or similar.
Implement CI/CD pipelines for platform deployments and updates.
Linux Systems Engineering Provide deep Linux system administration and troubleshooting support.
Optimize OS-level configurations for performance, reliability, and security.
Automate system configuration and compliance management.
Diagnose and resolve complex kernel, networking, and storage issues.
Reliability & Operations Partner closely with the SRE team to establish SLOs, SLIs, monitoring, and alerting.
Drive observability implementation (logging, metrics, tracing).
Participate in incident management, root cause analysis (RCA), and remediation.
Ensure platform resiliency, performance tuning, and capacity planning.
Program & Cross-Functional Collaboration Work with Program Management to drive large-scale OpenShift implementation milestones.
Provide technical input into roadmap planning, timelines, and risk mitigation.
Collaborate with security, networking, storage, and application teams.
Document architecture, standards, and operational procedures.
Security & Compliance Implement RBAC, security policies, and compliance controls within OpenShift.
Harden clusters according to enterprise security standards.
Support vulnerability management and patch governance processes.
Required Qualifications: 5+ years of Linux systems engineering experience.
3+ years hands-on experience with Red Hat OpenShift (OCP 4.x preferred).
Experience with on-prem infrastructure and datacenter environments.
Strong knowledge of Kubernetes, networking, storage, and virtualization.
Experience with automation tools (Terraform, Ansible, GitOps).
Preferred Qualifications: Red Hat certifications (RHCE, OpenShift).
Experience with enterprise-scale OpenShift deployments.
Familiarity with SRE practices, DevOps/GitOps, and monitoring tools.
The role requires 8+ years of experience in customer-facing positions, expertise with GCP technologies, and strong executive-level relationship management.
The position offers a competitive compensation package, including a base salary range of $137,000-$200,000 plus bonuses and equity.
This position is partially remote, with significant client interaction required.
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Prefer moonlight over morning light?
We’re looking for a clinical pharmacist who thrives in an evening shift model working 9 p.m. - 7 a.m. for 7 consecutive days, followed by 7 full days off.
Work just 70 hours every two weeks and get paid for a full 80! It’s the ultimate "work-life balance" hack for Pharmacists! You'll have plenty of time to recharge, travel, or spend with family, all while maintaining a full-time salary and benefits.
The pharmacist provides comprehensive clinical pharmacy services in central and decentral areas. Services include (but are not limited to) pharmacokinetic and therapeutic consultation for certain medications, implementing and monitoring pharmacy protocols such as renal dosing, parenteral nutrition and therapeutic interchange, and participation in the medication reconciliation process. The pharmacist is responsible for order verification, accurate dispensing of both inpatient and outpatient medication orders and is responsible for the supervision and approval of work done by pharmacy technicians before dispensing.
Pharmacists precept IPPE and APPE pharmacy students, as well as CentraCare PGY-1 pharmacy residents.
Schedule:
- Full-time | 70 hours every two weeks
- Monday-Sunday | 9 p.m. -7 a.m.
- Alternating 7 days on and 7 days off
Pay and Benefits:
- Starting pay begins at $59.63 per hour and increases with experience
- Pay range: $59.63- $89.63 per hour
- Straight nights shift differential of additional $4 an hour
- This role is normally scheduled for 20 hours of overtime paid at time and a half, resulting in compensation equivalent to 80 paid hours for 70 hours worked.
- Full-time benefits: medical, dental, PTO, retirement, employee discounts and more!
- Tuition reimbursement and college grant programs available
Qualifications:
- Bachelor of Science in Pharmacy degree and/or Pharm. D.
- Advanced training (residency, fellowship, and/or board certification) and/or previous hospital experience preferred.
- Current licensure by the Minnesota Board of Pharmacy.
CentraCare has made a commitment to diversity in its workforce. All individuals including, but not limited to, individuals with disabilities, are encouraged to apply. CentraCare is an EEO/AA employer.
About GMI Cloud
GMI Cloud is a fast-growing AI infrastructure company backed by Headline VC and one of only six cloud providers worldwide to earn NVIDIA’s prestigious Reference Platform Cloud Partner designation .
We are operating hundreds of megawatts of AI-ready data center capacity across North America and a growing AI Factory footprint in Asia, delivering a full spectrum of services from GPU compute service to AI model inference API solutions. As an NVIDIA six global Reference Platform Cloud Partner, our infrastructure meets the highest standards for performance, security, and scalability in AI deployments.
We empower AI startups and enterprises to “build AI without limits,” providing everything they need to prototype, train, and deploy AI models quickly and reliably.
Role Overview
The Senior Account Director – Hyperscalers owns GMI Cloud’s relationships with:
- Microsoft Azure AI Infrastructure
- Google Global DC / 3rd-Party DC Ops
- Meta Data Center Strategy & Planning
- Anthropic Infrastructure & Capacity Delivery
- Oracle Cloud Infrastructure (OCI) DC Planning
- OpenAI Compute Infrastructure Strategy and other hyperscaler AI infrastructure teams.
Your mission is to drive multi-year, multi-MW, take-or-pay capacity agreements, enabling those organizations to scale AI compute with GMI’s GPU cloud and data center platform. This is a highly strategic role requiring deep industry knowledge, credibility, and a proven ability to work with Director–VP level infrastructure leaders.
What You Will Do
1. Build and own relationships with hyperscaler infrastructure decision-makers
- Engage Director/VP-level leaders in AI infra, DC planning, capacity engineering, and compute procurement.
- Serve as a trusted partner on AI infrastructure scaling, budget cycles, and long-term planning.
2. Drive multi-year strategic GPU capacity deals
- Structure and negotiate multi-MW GPU cluster contracts across H200, B200, B300, GB200, GB300.
- Lead offer design: capacity reservations, take-or-pay agreements, global region planning.
3. Navigate hyperscaler procurement and internal workflows
- Understand vendor onboarding, RFP/RFQ cycles, security reviews, compliance, and infra governance.
- Work closely with engineering, infra ops, DC build teams, and finance stakeholders on the customer side.
4. Partner internally with GMI SA / Infra / Ops / DC teams
- Align customer requirements with GMI’s global capacity roadmap.
- Coordinate technical validation, POC, readiness checks, and deployment schedules.
- Ensure smooth execution from contracting to delivery.
5. Drive account growth and long-term partnerships
- Develop joint roadmaps with hyperscalers for future MW expansion.
- Build multi-region execution plans across US West, Central, East and APAC/TW AI factories.
- Own quarterly business reviews, strategic planning, and long-term renewals.
What We’re Looking For
Experience & Track Record
- 10+ years in AI cloud, hyperscale infrastructure, data center, HPC, or GPU cloud industries.
- Proven success closing large-scale infrastructure or multi-year capacity deals.
- Existing relationships or prior work with hyperscaler DC / infra teams is a major plus.
Industry Background (ideal pools)
Experience at one or more of the following:
- GPU Cloud / AI Compute
- Energy-to-AI & DC Operators
- Global DC & Colo Providers
Technical & Business Skills
- Strong understanding of AI compute, GPU roadmaps, cluster architecture, IB/RoCE networks, and DC power/cooling fundamentals.
- Familiar with hyperscaler capacity planning, multi-year budgeting, procurement, vendor management, and infra governance models.
- Ability to translate complex technical requirements into clear commercial agreements.
Soft Skills
- Executive communication at Director–VP level.
- Ability to influence cross-functional stakeholders across engineering, infra ops, DC, and finance.
- High integrity, low-ego, strategic, relationship-driven mindset.
Success Metrics
- MW of contracted GPU capacity (take-or-pay / reserved capacity).
- Multi-year revenue from hyperscaler portfolio.
- Region coverage and expansion (US + APAC/TW).
- Deal velocity and execution quality.
- Strategic depth of customer partnership.
Location & Travel
- Bay Area based (preferred).
- ~10% travel to customer sites, DC partners, and industry events.
About US
GMI Cloud is a fast-growing AI infrastructure company backed by Headline VC and one of only six cloud providers worldwide to earn NVIDIA’s prestigious Reference Platform Cloud Partner designation . We operate 8 of our own GPU clusters across the U.S. and Asia, delivering a full spectrum of services from GPU compute service to AI model inference API solutions. As an NVIDIA Reference Platform Cloud Partner, our infrastructure meets the highest standards for performance, security, and scalability in AI deployments. We empower AI startups and enterprises to “build AI without limits,” providing everything they need to prototype, train, and deploy AI models quickly and reliably.
About this role
We’re seeking a Sr. Technical Account Manager (TAM) with a strong customer-first approach, technical expertise, and a passion for solving complex challenges. You will play a critical role in ensuring customers have an outstanding experience with GPU Cloud by addressing their needs proactively, resolving technical challenges promptly, and advocating for their success. If you thrive in fast-paced environments, excel in building strong customer relationships, and are driven to deliver exceptional service, we’d love to hear from you.
Key Responsibilities
Building Strong Customer Relationships
• Serve as the primary technical contact for customers, addressing inquiries and issues promptly and effectively.
• Advocate for customers within GMI Cloud, ensuring their needs influence product roadmaps and service enhancements.
• Conduct workshops, training sessions, and tailored consultations to help customers maximize GPU Cloud utilization.
Proactive Problem-Solving & Technical Guidance
• Monitor customer environments to identify potential risks and performance bottlenecks, implementing preventative measures.
• Guide customers in designing and optimizing GPU-based system architectures, ensuring performance, scalability, and stability.
• Support cloud migrations by leveraging expertise in high-performance computing, AI/ML workloads, and data processing.
Cloud Optimization & Operational Excellence
• Conduct operational reviews to assess resource utilization, performance improvements, and cost optimization opportunities.
• Collaborate with customers to enhance business continuity, disaster recovery, and system monitoring capabilities.
• Drive continuous improvements, empowering customers to independently maintain and scale their cloud environments.
Required Skills
- AI Infrastructure: Understanding of GPU servers, storage (Ceph, NVMe, NFS), and high-speed networking (InfiniBand, RoCE).
- Kubernetes (K8s): Understanding of container orchestration, scheduling, and networking.
- AI/LLM: Familiarity with large language model training and inference workflows.
- Frameworks: Working knowledge of SGLang, vLLM, Slurm, and Ray (Anyscale) or equivalent distributed computing tools.
- Communication: Clear and confident in technical discussions with customers and internal teams.
Preferred Qualifications
- Certified Kubernetes Administrator (CKA) certification is preferred.
- Hands-on experience in HPC, MLOps, or large-scale AI infrastructure environments.
- Experience managing or scaling Ray clusters for distributed inference or data processing.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
- Prior experience supporting enterprise or hyperscale AI workloads is a plus.
