Cloud DevOps & AI Automation Architect

Ingeniosi; Ciudad de México; On-site; MXN 1,200,000 - 2,000,000; Full time

Job summary

Ingeniosi in Ciudad de México seeks a Cloud DevOps & AI Automation Manager to lead cloud infrastructure initiatives for a diverse product portfolio. You will coordinate design, development, testing and deployment with business owners and technology teams to define roadmaps and deliver robust solutions.

You will mentor engineers, enforce CI/CD practices, and drive Agile methods while staying ahead of industry trends in cloud computing, virtualization, and data storage.

Qualifications

• Bachelor's or Master's degree in Engineering, CS or equivalent.
• 5+ years in software development, cloud engineering or software architecture.
• 2+ years leading teams on Azure, AWS or GCP.
• Proficient in DevOps, CI/CD, and cloud services (Azure).
• Experience with Agile methods and Scrum or Kanban.
• Strong problem-solving and communication skills.

Responsibilities

• Advise and coordinate design, development, testing, and deployment of cloud infrastructure for a broad product portfolio.
• Lead Agile and Sprint activities, coordinating with scrum masters to deliver enterprise-grade applications.
• Ensure code quality in CI/CD environments and mentor team members on architecture and standards.
• Stay informed on industry trends in cloud computing, virtualization, containerization, and data storage.
• Participate in firm-wide meetings and mentor team members regularly.

Skills

Cloud engineering

Software architecture

Software development

DevOps

CI/CD

Azure

Terraform

Kubernetes

Agile / Scrum

Team leadership

Education

Bachelor's/Master's in Engineering/CS

Tools

Terraform

Kubernetes

Azure

AWS

GCP

Job description

About the job Cloud DevOps & AI Automation Manager

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.