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Rhombus Power

Defense AI platform for strategic decisions

Assistant Forward Deployment Data Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeIndiaNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, Electronics & Communication Engineering, or a related technical discipline, or alternatively a diploma in Information Technology, Electronics, Electronics & Communication, Computer Engineering, or a related discipline with relevant hands-on experience supporting IT infrastructure, networking, communications, or defense systems.
  • 1–3+ years of experience in deployment engineering, systems engineering, DevOps, infrastructure engineering, site reliability, or systems administration.
  • Fundamental understanding of Linux operating systems, networking concepts, and system administration.
  • Familiarity with cloud platforms such as AWS.
  • Exposure to Docker, containerized applications, and CI/CD concepts.
  • Experience troubleshooting hardware, operating systems, networks, or enterprise applications.
  • Ability to work independently in customer-facing environments while collaborating closely with distributed engineering teams.
  • Willingness to travel and work on-site wherever mission requirements demand.

Responsibilities

  • Deploy and configure Rhombus' AI platform across cloud, on-premises, and edge computing environments.
  • Partner with customers to understand operational requirements and translate them into successful technical deployments.
  • Install, integrate, and validate hardware, networking, and compute infrastructure required to support AI workloads.
  • Support the deployment, configuration, maintenance, and monitoring of IT infrastructure across on-premises and cloud environments, including AWS.
  • Assist with site readiness assessments, hardware installation, rack mounting, cable management, and power/network connectivity in accordance with established deployment standards.
  • Deploy, monitor, and maintain containerized applications while supporting CI/CD workflows within Docker-based environments.
  • Perform routine system monitoring, troubleshoot infrastructure and application issues, and assist with incident management, issue tracking, and basic root cause analysis.
  • Support software patching, system upgrades, logging, monitoring, and ongoing maintenance activities for development and production environments.
  • Assist with backup verification, disaster recovery testing, restoration activities, and preventive maintenance to ensure system reliability and customer support commitments.
  • Serve as an on-site technical liaison between customer stakeholders and internal Engineering, Product, and Data teams to coordinate deployments, communicate progress, and resolve technical issues.
  • Maintain technical documentation including deployment reports, installation records, asset inventories, configuration documentation, SOPs, testing results, and operational logs.
  • Support system validation, customer acceptance testing (UAT), and post-deployment verification activities.
  • Escalate technical risks, blockers, and operational issues to senior team members while providing timely project status updates.

Desired Qualifications

  • Experience deploying production software in customer environments.
  • Familiarity with Kubernetes, infrastructure automation, or configuration management tools.
  • Experience with scripting using Python or Bash.
  • Familiarity with monitoring, observability, and logging platforms.
  • Experience supporting AI, data, or distributed computing platforms.
  • Exposure to defense, aerospace, government, or other mission-critical environments.
  • Experience working with disconnected, edge, or hybrid cloud deployments.

About the Company

Rhombus Power

Defense AI platform for strategic decisions

Rhombus Power builds AI systems for defense and national security, centered on Guardian, an AI platform that helps government agencies and defense organizations make fast, accurate strategic, operational, and tactical decisions. Guardian ingests data from clients’ operations, analyzes it, and presents actionable insights and recommended courses of action to decision-makers across command levels, integrating with existing workflows. It differentiates itself by focusing exclusively on defense and national security, tailoring its AI to sector-specific challenges and delivering ongoing deployments and maintenance under long-term contracts. Its goal is to provide a trusted AI toolkit that speeds decision-making, strengthens operational capability, and provides a clear decision advantage in national security.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Mountain View, AR
Founded
2011

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