1 день назад
Senior Principal Engineer, Developer Productivity (AI)
243 000 - 335 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Principal Engineer, Developer Productivity (AI): Building production-ready AI agents and workflows across the software development lifecycle with an accent on agent orchestration, developer platforms, modernization, security, and observability. Focus on designing safe and measurable agentic workflows, modernizing critical systems, and scaling AI-enabled engineering practices across multiple teams.
Location: Santa Clara, California, United States of America; primarily office-based
Salary: $243,000–$335,000 per year, plus potential restricted stock units and bonus
Company
operates in the cybersecurity industry, developing technology to protect digital environments.
What you will do
- Design, prototype, and productionize AI agents and workflows for requirements, coding, code review, testing, documentation, deployment, and operations.
- Integrate AI capabilities into developer platforms, repositories, IDEs, CI/CD pipelines, and operational tooling.
- Modernize complex business-critical systems through AI-assisted analysis, refactoring, migration, testing, and documentation.
- Build secure, observable, auditable, and reliable agentic workflows with safe rollback and human approval controls.
- Drive adoption through reusable engineering patterns, architecture reviews, mentoring, workshops, and technical demonstrations.
- Measure productivity, quality, security, reliability, and cost outcomes through controlled pilots and engineering metrics.
Requirements
- 15 years of related experience with a bachelor’s degree, 12 years with a master’s degree, or 8 years with a PhD; equivalent technical impact may be considered.
- Senior Principal, Principal, or equivalent scope across multiple teams or engineering domains.
- Recent hands-on experience building and operating production systems.
- Practical experience with large language model APIs, tool-using agents, agent orchestration, context engineering, evaluation frameworks, and AI observability.
- Strong knowledge of distributed systems, APIs, event-driven architectures, CI/CD, cloud infrastructure, testing, observability, and production operations.
- Experience modernizing complex systems and influencing technical direction across organizations without direct authority.
Nice to have
- Experience introducing AI-assisted or agentic development workflows in a large or regulated enterprise.
- Experience with ERP, CRM, HRIS, CLM, finance, or customer-support platforms.
- Experience implementing AI security controls, permission boundaries, auditability, and prompt-injection defenses.
- Familiarity with DORA and SPACE frameworks, technical publications, open-source contributions, or conference presentations.
Culture & Benefits
- Most teams work from the office full time, with flexibility when needed.
- Potential restricted stock units and bonus in addition to base salary.
- Immigration sponsorship is available for this role.
- Commitment to inclusion, reasonable accommodations, and equal employment opportunity.
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