云DevOps及AI自动化经理
Cloud DevOps & AI Automation Manager
AI开发工程限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司Ingeniosi
薪资未公开
工作地点Mexico
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型Full Time
发布时间8 天前
数据来源Himalayas
注意地域限制:该职位明确限定在 Mexico 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。
Responsibilities:
- Advise and coordinate the design, development, testing, and deployment of cloud infrastructure for a broad development portfolio of both established and mature products, as well as new and emerging products. Work directly with Advisory business owners and the Advisory Technology teams to define the product roadmap, negotiate technical needs vs. new features, estimate the work, and deliver on it.
- Lead Agile and Sprint activities for development teams, in partnership with scrum masters, to deliver enterprise-grade applications/products in line with business requirements, oversee each aspect of the development process, and act as the technical liaison between globally distributed development teams and product stakeholders.
- Hold engineering teams to high standards in writing quality scalable and supportable code, complete with appropriate peer review, validation, documentation, and operationalization aspects in a CI/CD environment. Mentor development team members to ensure delivered solutions adhere to the software architecture strategy, coding standards and established organizational policies and procedures.
- Maintain knowledge and awareness of industry trends within application development, cloud computing, virtualization, containerization, hosted services, multi-tenant cloud infrastructures, and data storage systems. Participate in software architectural discussions, influencing decisions, and collaborating with peers to maintain consistency across the organization.
- Participate in firm-wide and/or Advisory-wide meetings to stay ahead of emerging trends; coordinate team and 1:1 meetings with team members to regularly mentor, coach and motivate them.
Qualifications:
- Bachelor's Degree/Master's Degree in Engineering, Computer Science or equivalent experience.
- 5+ years of experience in Software Development, Cloud Engineering and/or Software Architecture, with 2+ years of experience leading development and/or engineering teams working on Azure, AWS or GCP.
- Demonstrated knowledge and experience in DevOps, CI/CD, agile methodologies and cloud services (Azure), Terraform, and Kubernetes.
- Experience leading teams in the adoption and use of Agile methods and techniques, such as Scrum or Kanban.
- Excellent problem-solving skills, including the ability to troubleshoot and analyze code and infrastructure related issues.
- Demonstrated process improvement and client service mindset.
- Outstanding interpersonal, verbal/written communication, collaboration, presentation, and negotiation skills.
Originally posted on Himalayas
本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。
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