Full-Time

Senior Security Engineer

Posted on 7/29/2026

Armada

Armada

501-1,000 employees

Real-time supply chain visibility platform

Compensation Overview

$157.6k - $197k/yr

+ Equity + Subsidized benefits

No H1B Sponsorship

Bellevue, WA, USA

In Person

US Citizenship Required

Category
IT & Security (1)
Required Skills
Kubernetes
FedRAMP
Microsoft Azure
Python
Incident Response
Threat modeling
SQL
Vulnerability Analysis
SOC 2
Terraform
REST APIs
Penetration Testing
DevOps

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Requirements
  • A Bachelor's degree in Computer Science, Cybersecurity, or a related field and 8+ years of experience; or a Master's degree and 6+ years; or equivalent practical experience.
  • At least 8 years of experience in information security, including at least 5 years focused on cloud security.
  • Deep, hands-on expertise with Azure security services including Defender for Cloud, Sentinel, Entra ID, Key Vault, Azure Policy, and network security.
  • Production experience with multiple security capabilities including SIEM, EDR/XDR, WAF, email security, CSPM/CNAPP, and vulnerability management.
  • Proven experience securing Kubernetes and containerized workloads in production at scale.
  • Experience embedding SAST, DAST, SCA, secrets scanning, and infrastructure-as-code scanning into CI/CD pipelines.
  • Advanced application security testing experience covering web and API penetration testing and secure code review.
  • Proficiency with vulnerability management platforms such as Nessus, Nexpose, Qualys, or Defender Vulnerability Management.
  • Proficiency with Python and SQL/KQL for automation, tooling, and log analysis.
  • Strong working knowledge of NIST, ISO 27001, and SOC 2, with experience applying them to real audit and compliance cycles.
  • Experience leading incident response as the primary or senior responder on complex, high-stakes incidents.
  • Demonstrated experience advising or mentoring other engineers on security best practices.
  • U.S. Citizenship is required.
Responsibilities
  • Own and evolve security architecture strategy across Azure, hybrid infrastructure, and edge deployments, guiding design decisions across teams.
  • Direct the use of SIEM, Microsoft Sentinel, EDR/XDR, WAF, email security, and CSPM/CNAPP tooling, adapting the approach as the environment evolves.
  • Design detection rules, correlation logic, and automated response playbooks, and guide others in building their own.
  • Lead incident response end-to-end, from triage through containment and remediation, serving as the senior escalation point for complex incidents.
  • Lead security assessments, vulnerability scanning, and penetration testing across cloud, infrastructure, and application layers.
  • Test web applications and APIs for authentication and authorization flaws, business logic abuse, and OWASP Top 10 issues.
  • Threat model new services and architectures before they ship, advising engineering teams on risk tradeoffs.
  • Own the vulnerability lifecycle end-to-end, including risk-based prioritization, SLA tracking, and remediation follow-through.
  • Direct the integration of SAST, DAST, SCA, secrets scanning, infrastructure-as-code scanning, and container image scanning into CI/CD as automated gates.
  • Harden the software supply chain through build provenance, artifact signing, SBOM generation, and dependency governance.
  • Define and enforce guardrails as policy-as-code using Azure Policy, OPA/Gatekeeper, or Kyverno.
  • Serve as a senior security reviewer for designs and code across engineering teams, influencing secure deployment practices organization-wide.
  • Define and lead the approach to securing AI/ML development and deployment, including model and data supply chain integrity, inference endpoint exposure, prompt injection, agentic tool abuse, and training data governance.
  • Own security policies, standards, and procedures aligned to NIST, ISO 27001, and SOC 2, and drive their adoption across teams.
  • Produce audit evidence and lead customer security assessments.
  • Track emerging threats and translate them into roadmap priorities, advising leadership on risk.
Desired Qualifications
  • Experience securing edge, disconnected, or intermittently connected environments.
  • Experience securing AI/ML or LLM-based systems, including OWASP Top 10 for LLM Applications and MITRE ATLAS.
  • Advanced detection engineering experience, including writing and tuning KQL, detection-as-code, and purple team exercises.
  • Infrastructure-as-code fluency with Terraform or Bicep.
  • Familiarity with MITRE ATT&CK for threat modeling and detection coverage mapping.
  • Experience leading or supporting SOC 2 Type II or FedRAMP audit cycles.
  • At least one preferred certification from the defensive and architecture group: CISSP, CCSP, Azure Security Engineer Associate (AZ-500), GCIH, or GCIA.
  • At least one preferred certification from the offensive group: OSCP, OSWE, OSWP, OSEE, GPEN, GWAPT, or CEH.

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 Jobs

Simplify's Take

What believers are saying

  • Mitsui invested to expand edge data centers across metals and energy.
  • Johnson Controls partnered on Galleon Forge One, a 400,000-square-foot Arizona factory.
  • Armada runs operational deployments in over 100 countries.

What critics are saying

  • SpaceX Starlink dependence creates pricing, availability, and policy concentration risk.
  • Large industrial deployments can slip, delaying revenue and weakening customer references.
  • Rugged field hardware raises outage, maintenance, and implementation risks versus software-only rivals.

What makes Armada unique

  • Full-stack edge platform combining compute, connectivity, and AI at remote sites.
  • Targets harsh environments across oil, mining, defense, manufacturing, and telecommunications.
  • Commander Connect improves control and data visibility through IoT integration.

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Benefits

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

3%

1 year growth

4%

2 year growth

3%
Mitsui & Co., Ltd.
May 20th, 2026
Mitsui invests in Armada to deploy AI infrastructure at industrial sites

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.

intCount
May 19th, 2026
Armada raises $230M at $2B valuation to build modular AI data centers for military and energy sectors.

Armada raises $230M at $2B valuation to build modular AI data centers for military and energy sectors. Hicham ALAOUI RIZQ May 19, 2026 Introduction. Artificial intelligence has created a new race for computing infrastructure, and a startup called Armada wants to bring AI processing far beyond traditional data centers. The San Francisco startup announced Tuesday that it has raised $230 m

PR Newswire
Mar 23rd, 2026
Aker BP deploys modular offshore data centre with Armada on Norwegian Continental Shelf

Aker BP and Armada have agreed to deploy Armada's Galleon modular data centre for offshore drilling operations on the Norwegian Continental Shelf. The system will process and analyse drilling data directly on the rig, addressing connectivity limitations to shore-based infrastructure. The deployment aims to improve operational resilience by running AI models locally to predict equipment failures, reduce downtime and maintain operations during connectivity disruptions. The platform also enhances cybersecurity by minimising reliance on external networks and standardises vendor applications on a single edge architecture. Deployment will begin with one rig as a reference installation before expanding to additional assets. In 2025, Armada enabled the US Navy to deploy its first full-stack modular data centre at sea.

PR Newswire
Mar 17th, 2026
Armada brings NVIDIA AI Grid to telcos with edge platform for distributed AI infrastructure

Armada has announced its Edge Platform will support NVIDIA AI Grid, enabling telecommunications operators and enterprises to deploy geographically distributed AI infrastructure for latency-sensitive workloads. The platform integrates with NVIDIA technologies including RTX PRO Servers, Blackwell GPUs, Spectrum-X networking and AI Enterprise software. The Armada Edge Platform provides unified control across distributed AI infrastructure, from centralised AI factories to edge locations, managing intelligent workload placement and resource optimisation across thousands of sites. It supports applications requiring low latency, such as conversational AI, AR/XR and real-time video generation. Armada is collaborating with Nscale to deploy sovereign GPU clouds globally using the platform. The company's Galleon modular data centres provide rapidly deployable infrastructure for AI Grid sites where existing facilities are unavailable.

PR Newswire
Mar 16th, 2026
Armada leverages NVIDIA DSX Air to accelerate AI factory software development

Armada announced plans to use NVIDIA DSX Air to accelerate development and testing of its Bridge GPU management software through AI factory simulation capabilities. The company has been working with NVIDIA networking simulation technologies since late 2024 and will now extend usage to simulate GPUs, NVLink fabrics and Spectrum-X Ethernet switches. The simulation platform enables Armada to validate large-scale AI factory deployments without physical hardware constraints, compress proof-of-concept timelines from months to weeks, and create production digital twins for safer operational changes. Armada will also model its modular data centre, Galleon, within DSX Air. The full-stack edge infrastructure company serves sectors including energy and defence, delivering compute, storage and connectivity to remote industrial environments.