Staff AI Security & DevSecOps Engineer

Alvaria Inc • US,

11d • $155,000 - $165,000

About The Position

At Aspect, we are reimagining the human experience at work. For over 50 years, we have been the backbone of the world’s most complex contact centers and enterprise workforces. 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 & DevSecOps 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.

Requirements

• DevSecOps & AppSec Leader: Possess 6+ years of deep security engineering experience spanning secure SDLC, pipeline hardening, artifact integrity, and secret handling.
• GitHub & 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 OpenTelemetry 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.

Nice To Haves

• 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 CloudTrail/GCP Audit Logs).

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 DevSecOps & SDLC: Review and secure GitHub permissions, audit logging, and CI/CD pipelines against AI-amplified risks; integrate SAST/SCA and secret-scanning guardrails.
• Pioneer AI Observability: Instrument OpenTelemetry 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed