1 hour ago
Santa Clara, CA, USAStaff+
Base Salary
$180k - $230k/yr
Responsibilities
- Develop and maintain reference architecture for digital employee experience across collaboration, endpoint services, identity, enterprise service management, automation, and AI.
- Architect and implement integrations across Google Workspace, Slack, Atlassian, ESM, endpoint platforms, APIs, and business systems.
- Establish reusable patterns and standards for identity, access, observability, integrations, automation, and architecture decisions.
- Design, build, test, troubleshoot, and productionize agentic AI solutions involving knowledge retrieval, tool and API integrations, workflow orchestration, and approved actions.
- Define safeguards for agent permissions, sensitive data, approval points, audit logging, evaluation, and operational reliability.
- Lead design and code reviews, review high-risk changes and incidents, mentor engineers, and communicate technical trade-offs to IT leadership.
- Partner with security, legal, support, procurement, platform, engineering, and service-owner teams on technology standards and long-term operations.
Requirements
- 10+ years of experience in enterprise infrastructure, digital workplace, software/platform engineering, or architecture, with technical leadership and hands-on delivery.
- Strong coding and integration skills with Python, JavaScript or TypeScript, REST APIs, authentication standards, and automation tools.
- Experience building AI-enabled applications, agentic workflows, or advanced automation, including LLM APIs, knowledge retrieval, tool use, evaluation, and operational safeguards.
- Broad understanding of identity, SaaS collaboration, endpoint management, enterprise service management, and integration patterns.
- Sound judgment regarding access controls, data protection, auditability, observability, software quality, and enterprise service support.
- Ability to turn ambiguous needs into working solutions, lead cross-team design decisions, and communicate technical trade-offs without formal authority.
- Helpful experience includes Gemini Enterprise, Google Cloud AI services, enterprise search, comparable agent development platforms, SOC 2 or ISO 27001 controls, secure engineering practices, scalable integrations, and work in a growing global organization.
Tech Stack
Categories
About DDN
DDN builds high-performance data storage and data management systems for AI, machine learning, and high-performance computing workloads used by enterprises, research institutions, and governments. It sells appliance hardware and software (including parallel file systems and AI data platforms) along with support and professional services. Founded in 1998 and headquartered in Chatsworth, California, the privately held company reports serving over 11,000 organizations worldwide.