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Senior Security Application Engineer - Automation & Detection

Solidigm · Zapopan, Mexico

Other EngineeringSenior LevelExternal listingfull-time13 days ago

About The Role

Agentic Detection & Response Engineering

  • Define and own detection coverage strategy — establish detection standards, naming conventions, and quality criteria for the SOC and Product Security program. 
  • Map the threat landscape to MITRE ATT&CK TTP coverage; prioritize detection development against real adversary behaviors and threat intelligence; maintain ATT&CK coverage heatmaps and track MTTD and false positive rates as operational KPIs. 
  • Build and ship agentic detection and response — own the full lifecycle from threat use case through detections-as-code, automated triage, and production agentic response workflows. 
  • Design and govern AI agent identity and delegation — architect the end-to-end lifecycle for non-human identities operating in the security environment, including scoped delegation, audit logging, and kill-switch controls. 
  • Apply MITRE ATLAS adversarial ML techniques to threat-model all agent deployments; validate guardrails against OWASP Top 10 for LLM Applications and OWASP Top 10 for Agentic AI. 
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  • Product Security & Cryptographic Infrastructure 
  • Support and enhance Solidigm's Product Security & Code Signing platform — the cryptographic foundation for firmware signing, device identity (EJBCA/PKI), attestation (COSE/CBOR, LMS, PQC/ML-DSA), and unlock (CRAM/ADU) across all product lines. 
  • Build and maintain automation for signing pipelines, HSM health monitoring, certificate lifecycle management, and access provisioning workflows integrated into CI/CD. 
  • Contribute to PQC adoption — ML-DSA, LMS/LMOD, CNSA 2.0+, and OCP 3.0+ readiness — by developing and shipping the automation and tooling that operationalizes these standards. 
  • Own and evolve the security data platform supporting cryptographic governance: signing telemetry, KPI dashboards, audit logging, and anomaly detection for signing infrastructure. 
  • Architect and govern AI agent integrations within the code signing and cryptographic operations environment — scoped identity, delegation controls, and human-oversight mechanisms for any automation touching signing or key operations. 
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  • Application & Product Security Integration 
  • Embed across firmware engineering, CI/CD, and manufacturing teams — delivering security controls, pipeline integrations, and attestation automation directly in their environments. 
  • Integrate security requirements (SAST, SBOM generation and validation, attestation signing, supply-chain controls) across firmware build and release pipelines. 
  • Validate security controls through adversary emulation and purple team exercises; close coverage gaps identified through testing and operational feedback. 
  • Operate within and strengthen NIST AI RMF, OWASP Top 10 for LLM Applications, NIST FIPS 140-3, NSA CNSA 2.0+, OCP 2.5 to 3.0+, and ISO 27001/SOX ITGC governance gates. 
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  • Technical Leadership & Expectations 
  • Lead security program components and define detection, automation, and cryptographic governance standards — not just execute them. 
  • Shape the product and application security engineering roadmap through threat modeling, control design, and input to the Cryptographic Architecture Board and security roadmap. 
  • Serve as initial point of contact for cross-team security engineering projects; align technical outcomes with business requirements across firmware, manufacturing, and operations. 
  • Mentor MSP analysts, junior security engineers, and firmware engineers on agentic patterns, detection best practices, and cryptographic operational hygiene — multiplying team effectiveness. 
  • Champion good engineering habits (TDD, security-by-design, tech debt balance, agile) within and beyond the security team; uphold standards that set a benchmark for excellence. 
  • Work with Engineering Managers and the Product & App Security Lead to define priorities, roadmap, and resource allocation; be accountable for high quality in team output. 
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  • Force-Multiply Managed Services & Operational Partners 
  • Build supervised automations that expand analyst and operator capacity under oversight — replacing L1 toil with agents and lowering cost-to-serve while maintaining Solidigm governance and visibility. 
  • Develop and maintain operational runbooks, training materials, and knowledge documentation to build resilient team capabilities and reduce single-person knowledge concentration risk. 
  • Participate in daily, weekly, and monthly governance rhythms: ops standups, KPI reporting, quarterly CISO reviews, and the Cryptographic Architecture Board. 
  • B.S. Degree  in Information Security, Cybersecurity, Computer Science, Software Engineering, or related fields.
  • Advanced English level  (mandatory).
  • Software development proficiency  — Python preferred; API integration; infrastructure-as-code; CI/CD pipeline development.  Expected experience: 4–6+ years of relevant hands-on work. 
  • Security engineering depth — detection engineering, SIEM/SOAR platforms (Microsoft Sentinel and/or Splunk), and incident response workflows. Comfortable owning the detection lifecycle end-to-end. 
  • MITRE ATT&CK depth — TTP mapping, kill chain coverage analysis, and detection-to-technique alignment; ability to build and maintain ATT&CK coverage heatmaps and report on TTP coverage gaps. 
  • MITRE ATLAS depth — adversarial ML threat modeling for AI systems and agents, including model evasion, data poisoning, prompt injection, AI supply-chain compromise, and agent-specific attack vectors. 
  • AI/agent development experience — hands-on building with agent frameworks, RAG pipelines, or agentic orchestration in production environments. 
  • AI security governance knowledge — NIST AI RMF; OWASP Top 10 for LLM Applications (LLM01–LLM10); OWASP Top 10 for Agentic AI; AI safety control design including guardrails, human oversight mechanisms, and secure orchestration. 
  • Cryptographic and PKI fundamentals — working knowledge of HSM operations, certificate lifecycle management, code signing pipelines, and PKI concepts (CA hierarchies, certificate policies, key management). 
  • Cross-functional leadership — demonstrated ability to lead technical decisions for a functional domain, influence decisions in adjacent domains, and align technical outcomes with business requirements (IC7 Communication & Leadership standard). 
  • Field/embedded delivery mindset — comfortable embedding with operational and engineering teams, shipping in partner-controlled environments, and coaching across technical levels. 

 

Preferred Qualifications

  • Hands-on experience with HSM platforms — Entrust nShield, Fortanix DSM, or comparable; HSM cluster operations, ACS card lifecycle, key import/export workflows. 
  • PKI and certificate management — EJBCA/KeyFactor, Venafi, or comparable; manufacturing device identity injection, MTKI/sub-CA hierarchies, certificate expiry management. 
  • Code signing pipeline experience — firmware or binary signing (COSE/CBOR, Authenticode, or comparable); SBOM generation and signing; attestation workflows. 
  • Post-quantum cryptography (PQC) — practical experience with ML-DSA, LMS/LMOD, or hybrid crypto schemes; familiarity with CNSA 2.0+ and NIST PQC standards. 
  • Compliance framework experience — NIST FIPS 140-3, NSA CNSA 2.0+, OCP 2.5/3.0+, ISO 27001, SOX ITGC. 
  • Microsoft security stack — Defender XDR, Microsoft Sentinel (+ Data Lake), Security Copilot, Logic Apps; KQL; Azure. 
  • Splunk — SPL, log forwarding, content/detection management, and index administration. 
  • Agentic tooling — Model Context Protocol (MCP), Security Copilot plugins, LangChain, or comparable security-native agent orchestration and connector frameworks. 
  • Non-human identity (NHI) & workload identity — Entra Workload Identities, Okta, or comparable; service principal and managed-identity lifecycle management. 
  • Prior FDE, solutions-engineering, detection-engineering, or product security engineering role in an enterprise manufacturing or hardware product environment. 

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