May 12, 2026 Melissa Kashouh

d-Matrix – Senior Manufacturing Infrastructure Manager

  • Anywhere

● TALENT ONE MARKET INTELLIGENCE: D-MATRIX

🔥 TALENT LIQUIDITY:
Extremely tight. The intersection of deep Linux systems knowledge and high-availability database management for hardware-centric AI is a niche with a 1:18 supply-to-demand ratio.

📈 ALPHA SIGNAL:
By securing the infrastructure that powers custom AI silicon, you are positioning yourself at the center of the AI hardware gold rush. This role offers equity in a company building the ‘picks and shovels’ of the AI revolution, which is the most reliable way to secure your financial trajectory.

EST. COMPENSATION
$190k – $240k Base + Equity + Performance Bonus
SECTOR HEAT
88.0/100
CANDIDATE PROTOCOL: Focus your narrative on ‘zero-downtime’ migrations and automating infrastructure-as-code. Your ability to stabilize the hardware-software interface is your primary moat.

Official Role Description: d-Matrix

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution.  Ready to come find your playground? Together, we can help shape the endless possibilities of AI. Location:Hybrid, working onsite at our Santa Clara, Ca headquarters 3-5 days per week.What You Will Do:Linux Systems Administration• Advanced Linux proficiency (RHEL, CentOS, Ubuntu) including system installation, configuration, and optimization• Command-line expertise with shell scripting (Bash, Python) for automation• System monitoring, performance tuning, and capacity planning• Package management and dependency resolution• File system management, storage solutions, and backup strategiesDatabase Management• PostgreSQL administration including installation, configuration, and optimization• Database performance monitoring, query optimization, and indexing strategies• Backup and recovery procedures, including point-in-time recovery• High availability setups (replication, clustering)• Database security, user management, and access controls• Experience with database migrations and schema changesInfrastructure & DevOps• Containerization technologies (Docker, Kubernetes) for application deployment• Configuration management tools (Ansible, Puppet, Chef)• Infrastructure as Code (Terraform, CloudFormation)• CI/CD pipeline setup and maintenance (Jenkins, GitLab CI, GitHub Actions)• Version control systems (Git) and branching strategies• Monitoring and logging solutions (Prometheus, Grafana, ELK stack)Programming & Automation• Scripting languages: Python, Bash, PowerShell• Infrastructure automation and orchestration• Understanding data pipeline creation and ETL processesAdditional Technical SkillsReliability & Performance• High availability system design with 99.9%+ uptime requirements• Disaster recovery planning and implementation• Network troubleshooting and optimization for manufacturing environments• Understanding of industrial networking (Ethernet/IP, Profinet)• Experience with redundant systems and failover proceduresCloud & Hybrid Infrastructure• Cloud platform experience (AWS, Azure, GCP) for hybrid manufacturing solutions• Edge computing deployment for factory floor applications• VPN setup and management for secure remote access• Load balancing and auto-scaling configurationsSoft Skills & ExperienceProblem-Solving & Communication• Strong troubleshooting methodology and root cause analysis• Ability to work under pressure during production outagesClear communication with both technical and non-technical stakeholders• Documentation skills for procedures, runbooks, and system architectureManufacturing Environment Adaptability• 24/7 on-call availability for critical production systems• Ability to work in industrial environments (factory floors, clean rooms)• Cross-functional collaboration with production, quality, and engineering teamsPreferred ExperienceIndustry Background• Minimum 7 yrs of Industry Experience – Preferred 3+ years in manufacturing, industrial automation, or similar environmentsCertifications (Preferred)• Linux certifications (RHCE, LPIC)• PostgreSQL certifications (PostgreSQL CE)• Cloud provider certifications (AWS Solutions Architect, Azure Administrator)Key Responsibilities Summary• Design, implement, and maintain scalable infrastructure supporting manufacturing operations• Ensure system reliability, security, and performance for production-critical applications• Troubleshoot complex technical issues with minimal downtime impact• Collaborate with manufacturing teams to optimize system integration and data flow• Develop and maintain automation tools, monitoring systems, and recovery procedures• Stay current with emerging technologies and manufacturing industry best practices Equal Opportunity Employment Policyd-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.

Melissa Kashouh

Founder of Talent One I help enterprise leaders and investors forecast hiring surges, talent shortages, and market friction up to six weeks in advance using our patent-pending predictive intelligence platform. As the founder of Talent One AI (the intelligence layer of The Talent One), I built a system that turns lagging recruiting data into actionable foresight — helping companies reduce technical debt, protect employer brand, and hire ahead of the curve. Based in Providence, Rhode Island.
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