6 дней назад
Director, Performance and Reliability (AI Security)
366 300 - 680 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Performance and Reliability (AI Security) (Go/Python, Connector Platforms): Building and operating a scalable Universal Connector Framework for Veeam Data Command Center with an accent on SaaS, IaaS, AI-platform integrations, metadata normalization, and resilient distributed scanning. Focus on setting architecture and engineering strategy, leading high-concurrency workers, driving LLM-based Shadow AI discovery, and integrating permissions and lineage into a centralized graph platform.
Location: San Jose, California, United States; hybrid work
Compensation: $366,300–$680,200 USD annual total target compensation
Company
is a data and AI trust company focused on data resilience, data security posture management, and secure AI adoption.
What you will do
- Own the architecture, technical strategy, and roadmap for the Universal Connector Framework supporting SaaS, IaaS, AI platforms, and enterprise applications.
- Lead, hire, mentor, and develop senior engineers while owning delivery, reliability, scalability, and engineering standards.
- Build an AI-first engineering practice using Claude Code, Cursor, and Copilot with safeguards for code quality and security.
- Create reusable Claude skills and workflows for connector patterns, authentication flows, and metadata normalization.
- Drive LLM-based Shadow AI discovery and telemetry ingestion for AI Security Posture Management.
- Guide distributed Go and Python workers that extract metadata, permissions, and lineage and perform resilient, high-scale scanning across hybrid-cloud environments.
Requirements
- 10+ years of backend or data engineering experience focused on integrations, ETL, or API-first systems.
- 4+ years of experience leading engineering teams.
- Experience architecting and shipping connector or integration platforms for major SaaS and cloud ecosystems at scale.
- Strong Go and/or Python skills for high-concurrency and high-throughput systems.
- Strong understanding of distributed systems, microservices, REST/GraphQL APIs, Kafka or RabbitMQ, and SQL/NoSQL databases.
- Hands-on experience with AI-assisted development tools and the judgment to guide their use in an engineering team.
Nice to have
- Experience leading an SDK or developer platform.
- Knowledge of identity and permission models in SharePoint, Workday, or Google Drive.
- Experience with performance profiling, MCP, custom-agent development, security, privacy, or AISPM.
- Experience with graph databases such as Neo4j or Neptune.
Culture & Benefits
- Unlimited paid time off, 12 paid holidays, and 24 paid volunteer hours annually.
- Paid parental leave, medical, dental, and vision coverage from the first day.
- Mental health support, therapy sessions, and digital wellness resources.
- 401(k) plan with company matching contributions.
- Fertility, adoption, surrogacy, legal, identity protection, and supplemental health support.
- Learning resources, mentoring, workshops, and global learning events.
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