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AI Security & DevSecOps Engineer

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: Alvaria, Inc.
Full Time position
Listed on 2026-06-28
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cybersecurity
Salary/Wage Range or Industry Benchmark: 155000 - 165000 USD Yearly USD 155000.00 165000.00 YEAR
Job Description & How to Apply Below
Position: Staff AI Security & DevSecOps Engineer

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Staff AI Security & Dev Sec Ops  Engineer

Full Time Indv. Contributor US

2 days ago Requisition

Salary Range: $ To $ Annually

The Mission

At Aspect, we are reimagining the human experience  over 50 years, we have been the backbone of the world’s most complex contact centers and enterprise work forces. Today, we are in the midst of a massive technological evolution, building Aspect Intelligence—a cloud-native, AI‑driven platform that handles millions of real‑time signals to ensure the right people are in the right place at the right time.

We are looking for a Staff AI Security & Dev Sec Ops  Engineer (Autonomous AI Enablement) to serve as the technical guardian for autonomous and generative AI technologies across our organization. This role blends deep systems security with cutting‑edge AI orchestration—turning policy and risk principles into enforceable technical controls that allow our R&D teams to innovate safely.

The Role

As a Staff AI Security & Dev Sec Ops  Engineer, you are the catalyst for our safe AI evolution. You will design, implement, and operate the technical control plane needed to securely deploy autonomous AI across Aspect—starting with our R&D workflows, then layering protections across enterprise cloud architectures and LLM gateways. Your leadership ensures our AI‑assisted environments are not just highly productive, but engineered for rigorous security, measurable telemetry, and strict auditability.

Key Responsibilities
  • Establish R&D AI Guardrails: Secure the rollout of advanced AI development tools and AI‑assisted engineering workflows by implementing robust allow/deny controls for repositories, directories, commands, and execution modes.
  • Harden current Dev Sec Ops  & SDLC: Review and secure Git Hub permissions, audit logging, and CI/CD pipelines against AI‑amplified risks; integrate SAST/SCA and secret‑scanning guardrails.
  • Pioneer AI Observability: Instrument Open Telemetry pipelines to capture autonomous AI tool actions, routing telemetry into Datadog to build comprehensive engineering and executive dashboards.
  • Drive Detection Engineering: Create, maintain, and triage playbooks and alert systems for prompt‑injection behaviors, suspicious tool sequences, and anomalous access patterns.
  • Enforce Endpoint & SaaS Governance: Partner with IT and MDM to validate enterprise Endpoint/XDR coverage on developer devices, while building cross‑SaaS correlation logs to monitor data movement and permission changes across Tier‑1 corporate systems.
  • Cultivate Audit Excellence: Maintain the technical backbone for AI exception processing and produce audit‑ready evidence aligned to SOC 2 and ISO 27001 expectations.
Who You Are
  • Dev Sec Ops  & App Sec Leader: Possess 6+ years of deep security engineering experience spanning secure SDLC, pipeline hardening, artifact integrity, and secret handling.
  • Git Hub & CI/CD Mastery: Expert‑level fluency in securing code repositories, establishing branch protections, enforcing CODEOWNERS, and designing PR review rules.
  • Observability & Pipeline Engineer: Extensive experience building logging and telemetry pipelines utilizing Open Telemetry collectors, log routing, and normalization.
  • Pragmatic Detection Specialist: Proven ability to operate within Datadog or equivalent SIEM platforms to write actionable detections, investigate complex security events, and build practical response playbooks.
  • Cross‑Functional Partner: Exceptional ability to collaborate with Engineering, IT, and legal stakeholders to turn abstract security requirements into default‑safe developer workflows.
Preferred Experience
  • AI Tooling Governance: Practical experience evaluating enterprise AI control‑plane tooling, LLM gateways, and governing integrations, plugins, or Model Context Protocol (MCP) servers.
  • Endpoint & Cloud Audit Fluency: Experience with enterprise Endpoint/XDR platforms, identity telemetry (SSO/IdP), and cloud audit logs (AWS Cloud Trail/GCP Audit Logs).
The Tech Stack
  • AI Tooling: Advanced developer agents, AI code assistants, and Enterprise LLM Gateways
  • Security & Repository: Git Hub, Git Hub Actions, SAST/SCA, Secrets Scanning, Enterprise Endpoint/XDR
  • Observability & SIEM: Datadog, Open Telemetry Collectors
  • SaaS Ecosystem: Core enterprise collaboration, financial, CRM, and project management platforms
Why Aspect?
  • Massive Reach: Our software impacts the daily lives of millions of workers globally. Your work ensures their data and tools remain completely secure.
  • Innovation at Scale: Work on the bleeding edge of AI‑driven workforce intelligence within a stable, industry‑leading company.

Aspect is an equal opportunity employer. We believe that a diverse and inclusive team is the most effective way to build technology that serves the world.

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