3 дня назад
Director, Software Engineer
227 800 - 338 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Software Engineer (Distributed Storage and Cloud AI): Leading software engineering teams and parallel development projects for ONTAP, enterprise, cloud, and AI solutions with an accent on distributed systems, cloud-native services, scalability, and reliability. Focus on defining software architecture, driving the full Agile development lifecycle, building CI/CD infrastructure, and developing engineering managers and senior engineers.
Location: Hybrid role based in the Raleigh, NC office, Morrisville, North Carolina, United States
Salary: USD 227,800–338,800 per year, plus a comprehensive benefits package
Company
provides intelligent data infrastructure, unified storage, integrated data services, and enterprise, cloud, and AI solutions.
What you will do
- Define strategic direction for software development and architecture across multiple teams and product lines.
- Lead and scale engineering teams while aligning delivery with business objectives and technical standards.
- Drive the end-to-end Agile software development lifecycle from feature definition through production support.
- Direct the planning, execution, and delivery of parallel projects and ONTAP software solutions.
- Optimize development processes, operational metrics, reliability, scalability, and performance of cloud-native services.
- Mentor engineering managers and senior engineers, collaborate with senior leadership, and recruit high-performing talent.
Requirements
- 15+ years of software development experience, including large-scale distributed systems.
- 7+ years of leadership experience managing engineering teams and technical leaders.
- Experience delivering scalable, highly available, low-latency cloud services and working with distributed storage systems.
- Strong understanding of performance, scalability, enterprise system architecture, and the full software development lifecycle.
- Experience with data processing, analytics, AI/ML systems, agentic engineering, and CI/CD infrastructure for large-scale deployments.
- Strong business acumen and communication skills for influencing strategy and presenting complex technical concepts.
Nice to have
- Expertise in knowledge graphs, semantics, and data modeling.
- Hands-on experience with distributed database systems.
- Experience training and deploying AI models.
Culture & Benefits
- Hybrid working environment with in-office and in-person expectations.
- Health, life, retirement or pension, paid time off, and leave benefits.
- Performance-based incentives, employee stock purchase plan, and potential restricted stock units.
- Culture focused on initiative, ownership, innovation, inclusion, and professional flexibility.
Hiring process
- Applications are reviewed only when submitted through the company website.
- Some stages may use AI tools to support application evaluation and candidate selection.
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