Senior Security Application Engineer - Automation & Detection
Solidigm- Location
- Zapopan, , Mexico
- Workplace
- —
- Employment
- Full Time
- Salary
- —
Posted 2mo ago
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.
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.
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.
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.
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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Skills
- Machine Learning
- OWASP Top 10
- LLM
- PKI
- SAST
- NIST
- ISO 27001
- Python
- SIEM
- Splunk
- Retrieval-Augmented Generation
- GitHub Copilot
- Azure Logic Apps
- Azure
- Model Context Protocol
- LangChain
- Okta
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