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.