Director, Software Engineering - Infrastructure

Навыки

• AWS
• DevSecOps
• DNS / DHCP
• Elasticsearch
• Лидерство
• Machine Learning
• Ответственность за результат

О компании и продукте

• Cost Efficiency: Drive significant annual infrastructure savings by migrating data workloads to EKS and self-hosting key services such as OpenSearch.
• Ingress Convergence: Deprecate legacy frontend ALBs and consolidate to a single EKS-managed ALB per shard, unblocking faster deployments across the org.
• Coverage & Bench Depth: Eliminate single points of ownership across Networking, OpenSearch, and Terraform through cross-training and targeted hiring into coverage gaps.
• Stakeholder Alignment: Stand up a recurring alignment cadence with Product, AI, Enterprise, and Security so infra planning is driven by demand, not ad-hoc interrupts.

Требования

• Deep AWS infrastructure mastery: EKS, networking (VPC/TGW/DNS), and Terraform at scale, with strong architectural judgment and a track record of setting technical direction
• Strategic roadmap ownership: Track record setting 6–12 month cloud roadmaps tied to business outcomes across enterprise, AI, and cost
• Cross-team influence: Builds genuine partnerships across Product, Security, SRE, and DB orgs, driving shared ownership across traditional infra/product boundaries
• Application-level curiosity: Genuinely understands what the product does, not just the infrastructure underneath, and extends ownership past traditional platform boundaries
• People leadership at scale: Proven experience growing and retaining senior-heavy, geographically distributed teams across FTE/contractor blends
• builds bench depth and succession plans
• Operational rigor: Strong on-call instincts, incident ownership, and RCA follow-through
• Security-first instincts: This team touches blast radius (auth enforcement, network isolation, shard boundaries)
• A verify-first, never-assume mindset is non-negotiable
• AI & automation mindset: Demonstrated appetite for DevSecOps agents, AI-assisted IaC migrations, and skills-based automation — a core part of the near-term roadmap
• AI/ML infrastructure experience (strong plus): Scaling workloads like GPU orchestration, model-serving infrastructure, or cost-optimized compute for inference
• Education: BS/MS in CS, Engineering, or equivalent
• Experience: 10+ years in infrastructure/platform engineering, with significant time in a director-level role managing distributed teams
• Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process
• Join us and help redefine what's possible. 🚀
• This role bridges infrastructure and product engineering: you'll build genuine partnerships across product, AI, and enterprise teams so that ownership is shared and velocity is never blocked by platform constraints
• As Director, you'll set a forward-looking cloud vision, proactively align with stakeholders across the business, and ensure the platform scales for multi-shard, multi-region growth while meeting security and compliance commitments (SOC 2, business continuity/disaster recovery, and enterprise security frameworks)

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.