Full-Time
NOC Engineer
Data Center Operations
Armada
501-1,000 employees
Real-time supply chain visibility platform
No salary listed
Thiruvananthapuram, Kerala, India
In Person
 IT & Security (1) |
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- At least 5 years of experience in NOC, data center operations, critical infrastructure operations, or a related technical role.
- Strong working knowledge of programmable logic controller, building management system, and/or data center infrastructure management platforms.
- Hands-on experience monitoring or supporting power and cooling infrastructure in data center or other mission-critical environments.
- Working knowledge of mechanical and electrical systems, including uninterruptible power supply systems, power distribution units, computer room air conditioning or computer room air handling units, generators, and environmental monitoring systems.
- Solid understanding of networking fundamentals, infrastructure monitoring, alerting, and monitoring protocols.
- Experience with critical infrastructure monitoring platforms such as Distech, Radix IoT/Mango, Schneider Electric, Siemens, or equivalent systems.
- Experience with incident management, troubleshooting, escalation, and operational change management.
- Ability to read and interpret electrical one-line diagrams, network schematics, technical diagrams, and equipment documentation.
- Ability to work effectively in a shift-based and/or on-call environment, including nights and weekends when required.
- Monitor critical physical infrastructure using programmable logic controller, building management system, and data center infrastructure management platforms such as Distech, Radix IoT/Mango, Schneider Electric, and Siemens.
- Monitor and respond to alerts involving power, cooling, network connectivity, environmental conditions, and facility infrastructure.
- Provide Tier 2 support for escalations from L1 technicians and coordinate escalation to engineering, facilities, vendors, or other teams as required.
- Own incidents through their lifecycle, from initial triage and troubleshooting through resolution, stakeholder communication, and documentation.
- Support incident response and post-incident reviews, identifying opportunities to improve operational reliability and response procedures.
- Develop and refine monitoring dashboards, alerting thresholds, and operational health indicators.
- Perform and coordinate routine health checks of critical infrastructure, including uninterruptible power supply systems, power distribution units, computer room air conditioning or computer room air handling units, backup generators, and environmental monitoring systems.
- Troubleshoot and coordinate resolution of mechanical and electrical infrastructure issues using working knowledge of mechanical, electrical, and plumbing systems.
- Coordinate scheduled and emergency maintenance activities with internal teams, vendors, and remote-hands personnel.
- Participate in change management processes and assess the operational and infrastructure impact of proposed changes.
- Ensure physical and logical security policies and procedures are followed within data center and edge environments.
- Operate and support modular, containerized, micro, and distributed edge data center environments.
- Help maintain availability, continuity, and resiliency across geographically distributed and remotely operated infrastructure.
- Coordinate remote troubleshooting and hands-on support for edge deployments.
- Implement and continuously improve operational practices for remote infrastructure monitoring, fault detection, escalation, and recovery.
- Support environmental sensors and Internet of Things-based monitoring integrations across remote infrastructure.
- Use operational platforms such as Grafana, Zoho Desk, Zenduty, ServiceNow, Jira, and SolarWinds for monitoring, analysis, ticketing, and incident management.
- Maintain accurate documentation of configurations, incidents, changes, maintenance activities, and recurring operational tasks.
- Support automation and reporting initiatives focused on infrastructure performance, availability, capacity, and uptime.
- Assist with gathering operational evidence and infrastructure data for compliance and audit requirements.
- Identify opportunities to automate repetitive operational activities using scripting and monitoring integrations.
- Partner with Facilities, Infrastructure Engineering, Networking, IT, Security, and other operational teams to maintain reliable infrastructure.
- Communicate during incidents, maintenance activities, escalations, and operational handoffs.
- Participate in incident reviews and root cause analysis and help drive corrective and preventive actions.
- Contribute to the development of runbooks, standard operating procedures, escalation processes, and operational best practices.
- Participate in an on-call or shift-based operating model as required to support 24x7 infrastructure.
- Experience operating or supporting modular, containerized, micro, or edge data centers.
- Experience supporting geographically distributed infrastructure and coordinating remote-hands activities.
- Familiarity with environmental sensors, telemetry, Internet of Things integrations, and remote monitoring systems.
- Working knowledge of Linux and Windows server environments.
- Basic scripting and automation experience using Python, PowerShell, Bash, or similar technologies.
- Experience with monitoring and operational platforms such as Grafana, ServiceNow, Jira, SolarWinds, Zenduty, or Zoho Desk.
- Familiarity with compliance, audit evidence collection, and operational security requirements.
- Certifications such as CDCP, CDCTP, CompTIA Server+, CCNA, or equivalent industry certifications.
Armada.ai provides a cloud-based Software-as-a-Service (SaaS) platform that improves visibility and collaboration across the supply chain. It serves logistics providers, manufacturers, and retailers, and connects them through real-time analytics and a shared workflow environment. The core product integrates with customers’ existing systems and offers dashboards, data-driven analytics, and social-network-like collaboration so stakeholders can share information, identify issues quickly, and coordinate responses. Unlike many traditional supply chain tools, Armada.ai focuses on real-time visibility and cross-partner collaboration within a single platform, leveraging integrations rather than replacing current systems. The company’s goal is to help customers run more efficient, cost-effective supply chains by enabling faster decisions and better coordination across all participants.
Company Size
501-1,000
Company Stage
Series B
Total Funding
$456M
Headquarters
San Francisco, California
Founded
2016
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Simplify's Take
What believers are saying
- Armada raised $230 million at a $2 billion valuation on May 19, 2026.
- Johnson Controls, Mitsui, and Microsoft partnerships expand manufacturing, energy, and sovereign-cloud reach.
- Customer demand drove 540 percent FY25-FY26 bookings growth and 2,000 percent Q1 FY27 year-on-year.
What critics are saying
- NVIDIA, Microsoft, and Johnson Controls can commoditize Armada's control layer by 2027.
- Galleon Forge One production starts summer 2026; factory delays will choke deployments.
- A defense-heavy revenue mix exposes Armada to procurement freezes and one-customer concentration risk.
What makes Armada unique
- Armada pairs Galleon modular data centers with Armada Edge Platform and Bridge orchestration.
- Microsoft Azure Local integration targets sovereign private cloud in disconnected, contested environments.
- NVIDIA AI Grid support validates Armada's multi-site orchestration for latency-sensitive AI workloads.
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Growth & Insights and Company News
6 month growth
↑ 3%1 year growth
↑ 4%2 year growth
↑ 4%Johnson Controls International (JCI) partners with Armada for development of Arizona factory. Published on May 20, 2026 at 2:37 pm by catherine talavera in news. Johnson Controls International plc (NYSE:JCI) is one of the 8 Best Climate Change Stocks to Buy According to Analysts. On May 19, modular data center builder Armada announced that it has entered an agreement with Johnson Controls for the development of the Galleon Forge One factory in Arizona. In a statement, Armada said Galleon Forge One will span up to 400,000 square feet and is projected to create 500 jobs, in addition to additional roles in the domestic supply chain. The company also unveiled a Global Framework Agreement for modular data center systems with Johnson Controls, adding that the latter is also making an investment in the company. Johnson Controls Chief Executive Officer Joakim Weidemanis said the company is working with Armada to rapidly deliver secure modular data centers at scale. He added: "Together, we have already deployed units across the United States and around the world, demonstrating the expertise and global reach required to support mission-critical environments. Johnson Controls' differentiated technology, U.S.-based manufacturing strength and Armada's edge computing expertise will deliver the thermal-critical environments that perform predictably, deploy quickly, and scale with confidence." Of the 25 analyst ratings compiled by CNN, 52% rated Johnson Controls Buy, while 36% assigned a Hold rating. The stock has an average price target of $155, a 14.46% upside from the current price of $135.42. Johnson Controls International plc (NYSE:JCI) is engaged in thermal management, mission-critical building systems, energy efficiency, and decarbonization. The company helps customers use energy more productively, reduce carbon emissions, and operate with precision. While we acknowledge the risk and potential of JCI as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame. If you are looking for an AI stock that is more promising than JCI and that has 10,000% upside potential, check out our report about this cheapest AI stock.
Mitsui & Co has invested in Armada Systems Inc, a San Francisco-based provider of AI infrastructure solutions for industrial sites. The investment amount and valuation were not disclosed. Founded in 2022, Armada deploys modular data centres near industrial sites to enable real-time AI processing in harsh environments. Its integrated hardware and software platform supports operational automation, remote operations and predictive maintenance across sectors including oil and gas, manufacturing and mining. The company currently employs 400 people. Mitsui will leverage Armada's technology alongside its global network to develop edge data centre businesses and enhance AI capabilities across its metals and energy operations. The investment aligns with Mitsui's Medium-term Management Plan 2029, which prioritises data and AI integration across industrial sites.
Edge computing company Armada raises $230M at $2B valuation. The oversubscribed Series B will support growth as the company invests in modular data center production. Published on May. 20, 2026 Armada, an edge computing company providing modular AI infrastructure, secured $230 million in an oversubscribed Series B funding round co-led by Overmatch, BlackRock and 8090 Industries. The company, valued at $2 billion, also announced a framework agreement with Johnson Controls to establish production of Galleon Forge One, a modular data center, at a factory in Arizona. Galleon Forge One will span 400,000 square feet and is expected to create 500 jobs alongside various supply chain roles. Continuous production will commence in summer 2026, starting with Leviathan, Armada's megawatt-scale modular data centers for high-density AI training and inference workloads. In addition to the framework agreement, Armada secured an investment from Johnson Controls that furthers its ability to produce and deploy AI infrastructure where customers need it. "The AI race will not be won by one-off projects," Dan Wright, Armada's co-founder and CEO, said in a statement. "It will be won by the companies and countries that can manufacture, deploy and continuously improve AI infrastructure, with speed, scale and sovereignty. At Galleon Forge One, we will do what America does best: build the industrial base to win." Armada will invest its latest capital injection in supporting its growth initiatives and unlocking capacity for modular data centers.
Armada, a San Francisco, CA-based infrastructure and artificial intelligence company developing an edge computing and satellite-enabled platform, raised $230M in Series B funding
Pipeshift partners with Armada to bring open-source inference to Bridge Marketplace. Armada Bridge customers can now access Pipeshift for production open-source LLM inference May 19, 2026 Partnership Pipeshift is excited to partner with Armada.ai as part of the launch of Bridge Marketplace, Armada's new ecosystem for validated AI infrastructure software. Through the marketplace, Armada Bridge customers can access Pipeshift for production open-source LLM inference. Pipeshift brings MAGIC, its model optimization framework for serving workloads across latency, throughput, and cost constraints. The partnership gives Bridge customers a direct way to run optimized model endpoints on secure compute infrastructure provided through Armada. Teams can use Pipeshift to turn open-source LLMs into inference services for internal applications, customer-facing products, and regulated AI workloads. Once the GPU infrastructure is available, the serving path still has to be built. Armada Bridge gives businesses a way to access secure compute infrastructure for AI workloads. That includes the operational layer around multi-tenant access, scheduling, orchestration, billing, infrastructure services, and platform services. Production AI still needs model endpoints that hold latency, throughput, and cost behavior under real demand. Pipeshift works on that inference path, optimizing runtime decisions such as: * how the model is served * how requests move through the runtime * how the endpoint balances latency, throughput, and cost MAGIC tunes the serving path around each workload. MAGIC is Pipeshift's model optimization framework for production inference. After a team selects a model and compute target, the serving setup still has to match the workload. Chat traffic, batch jobs, and long-context pipelines each need different runtime behavior. Different AI workloads put pressure on different parts of the serving path: * Chat and agent endpoints: prioritize first-token latency, streaming behavior, and queue control during traffic spikes * Coding workloads: need stable decode performance across longer responses and concurrent users * Long-context and RAG workloads: put heavier pressure on prefill, memory movement, and cache reuse * Batch inference jobs: push for higher GPU utilization while keeping them away from latency-sensitive endpoints * Structured-output endpoints: need reliable formatting and tool-call behavior without adding heavy serving overhead The diagram below shows the flow from Armada Bridge compute infrastructure to a workload-specific inference endpoint. MAGIC gives each workload a serving path matched to its runtime pressure. A latency-sensitive endpoint, a long-context pipeline, and a batch job each need different runtime assumptions. Bridge customers can use Pipeshift to run open-source models as purpose-built inference endpoints on compute infrastructure provided through Armada. AI teams should be able to request model endpoints directly. For Bridge customers, Pipeshift makes secure compute infrastructure easier to use for production model serving. AI demand rarely arrives as one clean workload. A coding assistant, internal RAG system, support agent, and batch summarization job can run inside the same business with different serving requirements. Those requests may involve Qwen, Llama, DeepSeek, Mistral, Gemma, or another open-source model the team wants to run. Infrastructure teams need a repeatable serving layer for new models, workloads, and application requirements. And, the operators need a repeatable serving layer for new models, workloads, and tenant requirements. Pipeshift helps standardize that layer across open-source inference deployments. A new endpoint can start from a known serving pattern, then get tuned for the model, workload, and capacity target. Pipeshift is excited to support Armada customers building production AI infrastructure. Pipeshift is glad to support the launch of Armada Bridge Marketplace. Armada Bridge customers can find Pipeshift in the marketplace to explore production open-source LLM inference on secure compute infrastructure provided through Armada. Teams that want to discuss a specific model, workload, or deployment target can also reach out to Pipeshift directly.