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Job Title: Sr Software Engineer/ Embedded software Engineer , Information Security (Open Source Compliance)

Location: Dallas, TX

Duration: Long-term

Note : onsite role (five days a week)

We are seeking a Staff-level engineer who thrives on autonomy, engineering latitude, and self-determination—someone who relishes the freedom to architect solutions, drive compliance, and innovate in a fast-moving environment. You’ll join an incredibly dynamic and highly competent Security team, where your expertise will be valued and your voice heard.

The ideal candidate brings at least eight years of hands-on embedded software development experience, with a proven track record of transitioning into security-focused roles. You’ll demonstrate mastery in open-source license compliance, CI/CD automation, vulnerability management, and technical communication—showcasing both self-reliance and the ability to lead initiatives from concept to production. If you’re ready to join a team that sets the standard in Security and empowers its members to excel, this is your chance to make your mark.

Required Skills:

• Experience: 8+ years in embedded software development (Linux kernel, device/firmware), plus 2+ years in a security‑focused role (DevSecOps/AppSec/Compliance).
• Licensing & Policy: Deep, practical familiarity with GPL/LGPL/MPL/MIT/Apache requirements (attribution, source publication, relinking, derivative‑work analysis) and enforcement throughout the SDLC.
• Languages & Stacks: Strong in C, C++, C#; proficient in Python/JavaScript for automation/tooling; confident with XML/JSON/YAML for configs and SBOMs.
• Build, Packaging & Artifacts: Proficient with CMake, Clang/LLVM, cross‑compilers; package with Conan/Snapcraft; govern artifacts in JFrog Artifactory with risk analysis via JFrog Xray.
• CI/CD & GitOps: Hands‑on with GitHub Actions / GitLab CI and GitOps practices (GitHub/GitLab) for policy‑as‑code and environment orchestration.
• Testing & Vulnerability Triage: Skilled at integrating and interpreting SAST/DAST/IAST results; practical experience with CodeQL, SonarQube, ScanCode, and SBOM tooling (SPDX/CycloneDX).
• Data & Communication: Able to build Power BI dashboards, write SQL, and translate complex technical topics into clear narratives for technical and non-technical audiences.
• Documentation & Training: Exceptional writing quality for SOPs, Working Instructions, and public distribution artifacts; experienced trainer for OSS/GRC topics.
• Collaboration: Comfortable influencing cross‑functional roadmaps and mediating license/security trade‑offs with engineering, Legal, and external partners.
• Education: Bachelor’s or Master’s in Computer Engineering, Electrical Engineering, Computer Science, or closely related field. Security certifications (e.g., CISSP, CSSLP) are a plus.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Role- AWS with TypeScript Developer

Location- Indiana/ Boston, New Hampshire- on Hybrid mode

Core Responsibilities

• Design & Development: Build scalable RESTful APIs and event-driven systems using AWS Serverless architecture.
• Infrastructure: Write and manage cloud resources using AWS CDK (Infrastructure as Code).
• Data Modeling: Manage diverse data requirement using PostgreSQL(AWS RDS) and DynamoDB.
• Security & Identity: Design and implement robust security boundaries using AWS IAM roles, resource-based policies, Apigee and OAuth flows.
• Product Partnership: Collaborate regularly with Product Owners on feature runway, requirement gathering, and technical road mapping.
• AI-Augmented Engineering: Leverage "vibe programming" (AI-assisted workflows) to accelerate development and focus on high-level architecture.
• CI/CD: Own the release process by building and maintaining GitHub Actions pipelines.
• Observability: Own the health of services using CloudWatch, Datadog and Splunk for deep-dive logging, monitoring and alerting.
• Agile Leadership: Drive high-velocity delivery within an Agile team environment.

Technical Requirements

• Languages: High proficiency in TypeScript and Java, basic understanding of Python.
• Cloud: Deep experience with the AWS Serverless ecosystem((API Gateway, Lambda, EventBridge, Step functions, SQS, SNS, DynamoDB, ElastiCache, RDS, S3, OpenSearch, IAM).
• Infrastructure: Hands-on experience with AWS CDK.
• CI/CD: Experience with GitHub Actions.
• Monitoring: Experience with CloudWatch, Datadog and Splunk.

The base compensation range for this role in the posted location is:$110,000 - 120,000/year

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

Life and disability insurance

Employee assistance programs

Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers-

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem

As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims.

This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience.

RESPONSIBILITIES

• Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling.
• Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks.
• Help implement data quality checks, validation routines, and monitoring for automated data workflows.
• Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices.
• Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development.
• Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake.
• Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL.
• Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets.
• Participate in model development, including data profiling, model training, validation, and interpretation.
• Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk.
• Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value.
• Collaborate with business leaders to translate insights into operational improvements and cost efficiencies.

QUALIFICATIONS

• Currently pursuing or recently completed a Master’s in Data Science, Computer Science, Statistics, Economics, or related field.
• Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL.
• Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment.
• Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development.
• Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred.
• Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus.
• Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects.
• Strong analytical, communication, and problem-solving skills.
• A self-starter mindset, with attention to detail and enthusiasm for learning new technologies.

SALARY RANGE

The pay range for this position is $35 hourly.

ABOUT THE COMPANY

The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent."

Lead BI Engineer - Power BI (Contract-to-Hire)

We seek a Lead BI Engineer to design and implement enterprise-grade Power BI solutions, driving data-driven decisions. You’ll lead the Power BI lifecycle—data modeling, DAX optimization, solution deployment, and adoption—while advancing our self-service analytics strategy, semantic models, and data governance. This role involves mentoring, setting BI standards, and collaborating with stakeholders to deliver impactful visualizations.

Responsibilities:

• Design scalable Power BI dashboards, reports, and data models.
• Build semantic models using best practices (Kimball methodology).
• Develop DAX calculations, Power Query transformations, and optimize performance.
• Implement governance standards (naming, security, access).
• Use DevOps/GitHub for version control and deployment.
• Engage stakeholders to define KPIs and create visualizations.
• Train users, ensure data integrity, and mentor junior developers.
• Contribute to BI strategy and stay updated on Power BI features.
• Required Skills:7+ years in BI/analytics, 3+ years leading Power BI projects.
• Expertise in DAX, Power Query, SQL, and Kimball methodology.
• Experience with data visualization (Power BI; Tableau/Qlik a plus).
• Familiarity with SQL Server, Snowflake, or cloud data warehouses.
• Knowledge of Azure, Power BI Service admin, and DevOps (GitHub, Azure DevOps).
• Agile/Scrum experience (Jira/Azure Boards).
• Must live within 1 hour of Alpharetta, GA (remote, with occasional office visits).

Job Title: Cloud Systems Engineer

Location: Pleasonton, CA - Onsite with 80%

Duration: 9 Months

Pay Range: $70/hr -$90/hr on W2 (DOE)

Description:

This hybrid cloud role will be part of a talented team that is responsible for the growth, on-going maintenance and development of IaaS running primarily on Linux and Windows in cloud and on-premises. Provides level 3 support (on an on-call support rotation model) for complex systems and applications. Work across product teams and operations to design and implements tools that automate infrastructure configurations, provisioning, builds, and deployments.

This position will be remote and will need to work nights and weekends.

Responsibilities:

• Updating, designing, and adding automation for provisioning and managing infrastructure, operating system, and middleware components.
• Designing, engineering, and maintaining a highly complex and secure cloud environment for Oracle and Azure Cloud.
• Provide support for complex system and applications, rolling out new systems, maintaining, migrating, upgrading and improving the long-term performance of the systems.
• Perform as a member of the systems administration team to support the installation, optimization, integration, troubleshooting, backup, recovery, modification, security, and upgrading of IT systems and components to provide services that enable customers to effectively apply IT to business requirements
• Have knowledge of tools and mechanisms for distributing new or upgraded software to ensure customers receive current versions of supported software, as they become available.
• Shall be able to work with other senior staff to recommend and design systems architecture and topology from both general and specific perspectives.
• Provide an on-call support rotation model.

•Collaboration & Influencing

•Learning Agility

•Drives Results

•Customer Impact

Skills and Experience:

• Bachelor's degree or equivalent experience in IT Preferred and 6+ years of progressive experience in engineering and design capacities, and documentation.
• The ideal candidate must be a self-starter with strong work habits and have mid-level career experience in maintaining large numbers of Linux and Windows servers in Bare Metal, ESX, and Cloud environments.
• Deep Understanding of Windows/Linux Fundamentals including Reading/Understanding system logs, run tracing and debugging tools, and network packet captures for analysis of resolving root cause.
• Implementing and Administering VMware ESX/ESXi/Vcenter, Creating vSwitches, Port groups, NIC Teaming, Bonding, and VLAN or Virtual Network Problem management.
• Experience with public cloud platforms – IaaS, PaaS, Kubernetes, Docker, and Vagrant (Azure & OCI are preferred)
• Experience with Automation technologies like Infrastructure as a Code with Chef, Terraform, and Jenkins. Deployment technologies such as, PXE Kickstart, Windows SCCM, and configuration managment for mobile devices. Scripting experience, specifically with Bash/python/Ruby/Perl/Powershell language Preferred.
• Experience with Warehouse or Manufacturing automation a plus working with PLC, Conveyance, and Warehouse Controls Systems, Understanding of Warehouse Management Systems, and Prior work with real-time systems Preferred
• Experience with Monitoring tools like Nagios or New-Relic and Kafka or other stream service.

Additional Skills:

• Github/Github Actions
• Ansible/Chef
• Azure/OCI Cloud
• Linux Containers/Kubernetes/Docker
• Oracle KVM / KVM
• Oracle Enterprise Linux

Benefits Info: Russell Tobin/Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

Lead Android Engineer

Contract to Hire

Hybrid – Onsite in Irving, TX (75063) Tue–Thu; Remote Mon & Fri

Our Fortune 500 retail client is seeking a hands-on Lead Android Engineer to drive technical excellence and innovation across their mobile platform. This role will help evolve a mature Android application while delivering high-quality experiences that support millions of customers across eCommerce, loyalty, personalization, and product launches.

The team is focused on differentiating the mobile app from the web experience through personalized content, contextual assistance, and intelligent upsell opportunities. This role requires someone who has made architectural decisions, influenced technical direction, and led implementation — not just executed against predefined designs.

This is not a pure architect role, but it requires strong architectural judgment combined with deep hands-on development expertise.

Key Responsibilities

• Serve as a hands-on technical leader within the Android team.
• Design, build, and enhance Android applications using Kotlin and Jetpack Compose.
• Make informed architectural decisions within an established Android application using MVVM and Clean Architecture principles.
• Guide the implementation of new features in alignment with scalable, maintainable architecture standards.
• Partner closely with the Mobile Architect while owning day-to-day technical decision-making for the Android team.
• Act as the go-to technical resource for Android engineers, helping answer implementation questions and remove blockers.
• Integrate and manage third-party SDKs and libraries, understanding dependency management, versioning conflicts, and potential performance implications.
• Implement API integrations and evaluate libraries needed to support new functionality.
• Contribute to proof-of-concepts (POCs) that explore innovative mobile capabilities and customer engagement strategies.
• Develop personalization features that differentiate the app experience from the web.
• Implement and optimize push notification capabilities to drive engagement and upsell opportunities.
• Strengthen application stability by implementing unit tests and embedding automated quality checks within the CI/CD pipeline from the Android codebase.
• Participate in production incident management and provide technical leadership during issue resolution.
• Conduct thorough PR reviews, promote code quality standards, and ensure proper documentation.
• Leverage AI-assisted development tools (e.g., GitHub Copilot) to improve efficiency and elevate engineering practices.
• Stay current with Android ecosystem trends and proactively recommend improvements.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or equivalent experience.
• 7+ years of hands-on Android development experience.
• 5+ years of Kotlin development experience.
• Strong experience with Jetpack Compose.
• Proven experience making architectural decisions within an existing Android application.
• Hands-on experience implementing MVVM and Clean Architecture principles.
• Experience integrating third-party SDKs and adding libraries within complex Android projects.
• Experience implementing REST API integrations and managing dependencies.
• Strong unit testing experience and experience improving application stability.
• Experience contributing to accessibility (ADA) improvements.
• Hands-on experience with Google Play Console, including publishing and maintaining Android applications.
• Experience working in Agile development environments.
• Must be authorized to work in the U.S. without sponsorship and able to convert to a full-time W-2 employee upon completion of the contract.

Technical Skills

• Kotlin, Android Studio, Jetpack Compose
• MVVM, Clean Architecture
• Hilt, Gradle
• JSON, REST APIs
• SDK & third-party library integration
• Firebase, Crashlytics, Adobe Analytics, Google Analytics
• Push Notifications
• CI/CD integrations at the Android application level
• AI-assisted development tools (e.g., GitHub Copilot)

Work Environment

• Hybrid schedule (Irving, TX)
• On-call support may be required.
• Occasional weekend or evening work may be required.

*Final compensation will be determined based on experience, skills, and location*

Advanced Software Engineering Manager – DevOps / CI/CD

Location: Onsite – Cincinnati, Ohio (Blue Ash)

Employment Type: Direct Hire

Compensation: $145,000–$160,000/year

Benefits: Health, Dental, Vision, 401(k) with Match, PTO, Paid Holidays, and additional enterprise benefits

Travel: None

Start: ASAP

Open Role Due To: Technology modernization and enterprise platform expansion

About the Role

Our client, a global leader in enterprise technology and innovation, is seeking an Advanced Software Engineering Manager – DevOps / CI/CD to architect, operate, and continuously enhance a modern CI/CD ecosystem that enables fast, secure, and reliable software delivery across the organization.

This role will drive pipeline scalability, automation maturity, platform modernization, and operational excellence. You will partner closely with development, QA, architecture, IT, security, and product teams to accelerate engineering productivity while ensuring enterprise-grade security, compliance, and governance standards are met.

This is a highly visible leadership role requiring both strategic vision and strong hands-on technical expertise.

What You’ll Do

• Lead the design, development, and delivery of scalable, high-quality DevOps and CI/CD solutions aligned to enterprise architecture standards
• Architect and modernize CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, and/or GitLab CI
• Develop Infrastructure as Code solutions using Terraform, Ansible, ARM/Bicep, and related tools
• Translate technology strategy into actionable roadmaps supporting enterprise project portfolios
• Drive modernization initiatives across cloud, infrastructure, automation, and security domains
• Lead migration strategies from current-state to future-state architecture aligned with capital planning cycles
• Present architectural recommendations to executive leadership, including cost/benefit and risk analysis
• Mentor engineers on software engineering best practices, reusable design patterns, and architectural principles
• Promote reusable frameworks, shared libraries, and automation standards
• Author and review architectural artifacts including system diagrams, interface specifications, and technical design documentation

Why This Role Stands Out

• Enterprise-wide impact with high visibility to senior leadership
• Opportunity to modernize and scale CI/CD platforms in a large, complex environment
• Strong influence over cloud architecture, automation strategy, and operational excellence
• Competitive compensation and comprehensive benefits package

What We’re Looking For

• Bachelor’s Degree in Computer Science or STEM-related field
• 8+ years of experience in DevOps, CI/CD, Infrastructure Engineering, or Site Reliability Engineering
• 5+ years leading the design and delivery of complex, large-scale, high-quality software or automation systems
• Strong hands-on expertise in software or infrastructure engineering, including design patterns and code structure
• Expertise with CI/CD platforms (Azure DevOps, GitHub Actions, Jenkins, GitLab CI)
• Strong proficiency in Infrastructure as Code tools (Terraform, Ansible, ARM/Bicep)
• Deep knowledge in at least two of the following: cloud platforms, APIs, application development, infrastructure/network design, middleware, servers & storage, database management, or operations
• Solid understanding of network and security architecture principles
• Experience with Linux and/or Windows systems, virtualization, and containerization
• Experience with enterprise observability and monitoring platforms
• Proven ability to operate strategically while delivering hands-on technical solutions
• Strong written, verbal, and presentation communication skills

Preferred Skills

• Experience building and mentoring high-performing engineering teams
• Experience designing and implementing elastic architectures in Azure and/or Google Cloud Platform
• Experience working in large-scale or regulated enterprise environments
• Experience with Google Cloud Platform (GCP) or Google Distributed Cloud (GDCE)
• Awareness of industry trends and competitive DevOps landscape

Role: Engineering Lead (Java/DevOps)

Location: Burbank, CA - Onsite, Hybrid

1) 8+ years in full-stack development

a. Experience building distributed systems with strong proficiency in Java/Spring Boot, Angular (or React/Vue)

2) DevOps fluency: Proven track record designing and delivering AWS-native architectures (Lambda, API Gateway/AppSync, Step Functions, Event Bridge, DynamoDB/RDS, S3)

a. 8+ years of experience.

3) 8+ years of CI/CD fluency: Hands-on with CI/CD pipelines.

a. (GitHub Actions or AWS Code Pipeline), Infrastructure as Code (CloudFormation/CDK/Terraform), and automated testing frameworks. You help the team maintain stability, automate deployments, and manage the integrity of development across environments (Dev, QA, Prod).

Technology Requirements:

1) Full-Stack Depth & Breadth

Experience building distributed systems with strong proficiency in Java/Spring Boot, Angular (or React/Vue), and AWS-native architectures (e.g., Lambda, Step Functions, Event Bridge, AppSync, DynamoDB).

2) DevOps and Automation Expertise

You've led teams through CI/CD transformations, working with tools like GitHub Actions, AWS Code Pipeline, or Terraform/CDK, and helped establish reliable, repeatable release pipelines

Job Description:

Key Responsibilities:

• Server Installation & Configuration: Install, configure, and deploy servers in data center environments, ensuring they are correctly set up for optimal performance and scalability.
• Hardware Maintenance: Perform regular maintenance and health checks on servers, including monitoring hardware performance, updating firmware, and replacing or upgrading components.
• Troubleshooting & Repairs: Diagnose and resolve hardware and software issues related to the servers, ensuring minimal downtime and maintaining system integrity.
• Performance Optimization: Monitor server performance and implement corrective actions to optimize hardware's efficiency, stability, and reliability.
• Documentation & Reporting: Maintain accurate records of server configurations, maintenance schedules, and troubleshooting efforts. Generate regular reports on server health, performance, and issues.
• Collaboration: Work closely with IT infrastructure teams, network engineers, and other technical staff to ensure seamless server operations and integration with existing infrastructure.

Required Skills and Qualifications:

• Required 5 years of experience in IT support, Troubleshooting etc.
• Bachelor’s degree/High School Diploma.
• Proven experience working with servers or similar high-performance computing hardware.
• Understanding of server hardware, including CPU, memory, storage, networking components, and cooling systems.
• Solid understanding of networking concepts, protocols, and configurations (TCP/IP, DNS, DHCP, etc.).

Preferred Qualifications:

• Experience with NVIDIA-specific hardware and software solutions, including GPUs, CUDA, and other NVIDIA technologies.
• Familiarity with GPU server configurations and use cases, particularly in AI, machine learning, and high-performance computing environments.
• Knowledge of server management frameworks like IPMI, iLO, or similar.
• IT certifications (e.g., CompTIA A+, Cisco CCNA, or similar) are a plus.
• Familiarity with cloud platforms (AWS, Google Cloud, Azure) and their interaction with on-premises server infrastructure.

Additional Information:

Ability to lift heavy hardware components and perform physical installations and repairs in a data center environment. Ability to lift up to 30 pounds regularly.

Ability to bend, stoop, crawl, kneel, crouch, reach, stand for long periods , and move about production and warehouse facilities.

The environment is temperature controlled, but otherwise, it is a typical production environment with loud noises.

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

1. AI Infrastructure: Understanding of GPU servers, storage (Ceph, NVMe, NFS), and high-speed networking (InfiniBand, RoCE).
2. Kubernetes (K8s): Understanding of container orchestration, scheduling, and networking.
3. AI/LLM: Familiarity with large language model training and inference workflows.
4. Frameworks: Working knowledge of SGLang, vLLM, Slurm, and Ray (Anyscale) or equivalent distributed computing tools.
5. Communication: Clear and confident in technical discussions with customers and internal teams.

Preferred Qualifications

1. Certified Kubernetes Administrator (CKA) certification is preferred.
2. Hands-on experience in HPC, MLOps, or large-scale AI infrastructure environments.
3. Experience managing or scaling Ray clusters for distributed inference or data processing.
4. Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
5. Prior experience supporting enterprise or hyperscale AI workloads is a plus.