11 часов назад
Platform Engineer (Azure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Platform Engineer (Azure/AI): Building and operating cloud infrastructure, automation, and deployment systems for an autonomous-driving AI platform with an accent on Azure, Infrastructure as Code, CI/CD, and platform reliability. Focus on designing scalable development and production environments, automating operational workflows, and solving complex incidents across containerized and distributed systems.
Location: Sunnyvale, California, USA; hybrid working model with in-person collaboration and remote work.
Company
is building an AI platform for autonomous driving that enables vehicles to learn from real-world experience and adapt across different environments and vehicle platforms.
What you will do
- Build, maintain, and improve cloud infrastructure across development, testing, and production environments.
- Automate infrastructure provisioning using Infrastructure as Code tools such as Terraform and Ansible.
- Support cloud-based CI/CD pipelines, deployment systems, and containerized workloads.
- Monitor platform performance, observability, security, and cloud costs.
- Respond to incidents, perform root-cause analysis, and automate operational processes.
- Partner with engineering teams to improve developer experience and reduce manual work.
Requirements
- 2–5 years of experience in DevOps, cloud infrastructure, platform engineering, or a related role.
- Hands-on experience with Azure, AWS, or GCP.
- Experience with Infrastructure as Code tools such as Terraform or Ansible.
- Familiarity with CI/CD systems and cloud-based deployment pipelines.
- Understanding of networking, cloud architecture, and system reliability fundamentals.
- Ability to troubleshoot complex systems and collaborate effectively with engineering teams.
Nice to have
- Experience with build systems, Linux, Git, scripting, distributed execution, caching, and artifact management.
- Interest in autonomous driving, embodied AI, and real-world machine learning systems.
Culture & Benefits
- Hybrid work with dedicated offices and focused remote time.
- Relocation support and visa sponsorship where applicable.
- Core hours and opportunities to work hands-on in vehicle workshops and labs.
- Market-benchmarked salaries, meaningful equity, and location-dependent benefits.
- Learning and development budgets for training, conferences, and professional growth.
- Health, dental, retirement or pension benefits, enhanced parental leave, therapy access, wellbeing partnerships, and team socials.
Hiring process
- Initial recruiter call covering motivation, communication, relevant experience, and logistics.
- Competency interview with the hiring manager.
- Technical interviews covering programming, system design, build systems, CI/CD infrastructure, automation, Linux, Git, and distributed execution.
- Final interview with a director focused on mission, values, stakeholder communication, and long-term potential.
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