5 дней назад
Lead DevOps Engineer (AI)
150 000 - 185 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead DevOps Engineer (AI): Building and evolving secure, highly available cloud platforms for production AI products with an accent on Kubernetes, Terraform, CI/CD, and GitOps. Focus on designing resilient infrastructure, securing distributed systems, building actionable observability, and enabling product teams to deploy and operate services independently.
Location: Houston, Texas, United States
Salary: $150,000–$185,000 per year plus bonus
Company
Nexus Black builds production AI products for industrial, field-service, manufacturing, regulatory-compliance, and asset-heavy operations.
What you will do
- Design, build, and operate cloud infrastructure as code using Terraform.
- Own the Kubernetes platform, including GKE workload standards, deployment models, multi-zone resilience, resource limits, and safe failure modes.
- Build CI/CD pipelines and GitOps workflows with rolling deployments, canary releases, and rapid rollback capabilities.
- Establish secure-by-default practices across infrastructure, pipelines, and runtime environments.
- Build actionable observability with meaningful alerts and self-service dashboards.
- Lead and mentor platform engineers while anticipating future platform needs.
Requirements
- Experience building and operating cloud-native platforms at scale.
- Strong Kubernetes and containerized-workload experience.
- Infrastructure as Code experience with Terraform, plus CI/CD and GitOps-style delivery.
- Deep understanding of high availability, fault tolerance, scaling strategies, and secure infrastructure design.
- Strong troubleshooting skills across distributed systems.
- Production experience with AI, ML, or LLM workloads and the ability to explain technical decisions clearly.
Nice to have
- Experience with Istio or similar service-mesh technologies.
- Knowledge of Kubernetes Gateway API or modern ingress patterns.
- Experience with Redis, PostgreSQL, or managed cloud data services.
- Background in industrial, field-service, or other asset-heavy domains.
Culture & Benefits
- High-trust environment with substantial autonomy.
- Opportunity to shape a platform engineering capability and work with real production AI systems.
- Flexible paid time off, including sick leave and holidays.
- Medical, dental, and vision insurance, plus life and disability insurance.
- 401(k) with company contribution and flexible spending accounts.
- Tuition assistance and community involvement or volunteering events.
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