Platform Engineering Manager

Sia Partners is looking for a Platform Engineering Manager to support the design and delivery of next-generation AI and Generative AI platforms within Sia’s AI Factory. This role is pivotal in bridging high-level product vision with robust, cloud-native engineering execution. 

As a Platform Engineering Manager, you will be responsible for building and evolving internal development and MLOps platforms that improve automation, scalability, reliability, and developer productivity. You will operate as a player-coach, combining hands-on technical leadership with people management and strategic ownership. 

This is a product-focused role, working closely with product managers, data scientists, ML engineers, application engineers, and security teams to deliver platform capabilities that directly support AI, data, and software workloads 

Key Responsibilities 

• Leadership of Platform / DevOps / SRE engineering teams, ensuring delivery excellence and strong engineering culture 

• Ownership of internal platform products, working closely with product, application, and data engineering teams to deliver scalable, reliable, and secure platform capabilities. 

• Support to Data Scientists, ML Engineers, Data Engineers, and Software Engineers by providing reliable, scalable, and easy-to-use platform services 

• Definition and execution of the platform engineering strategy and roadmap, aligned with business and delivery objectives 

• Development and operation of internal developer platforms enabling automation, self-service, and scalability 

• Support to Data Scientists, Data Engineers, and Software Engineers by providing reliable, secure, and scalable platforms 

• Cloud services: architecture and operations across AWS, Azure, and GCP, including compute, storage, networking, access management, cost monitoring, and cost optimization 

• Infrastructure as Code: design, standardization, and governance using Terraform 

• Containers: containerization and orchestration of applications using Docker and Kubernetes, including Kubernetes platform ownership 

• CI/CD: definition and standardization of continuous integration and deployment pipelines 

• Observability & reliability: monitoring, logging, alerting, and application of SRE principles to ensure availability, performance, and resilience 

• Contribution to technological, architectural, and governance decisions to address the challenges of scaling AI and data platforms 

• Collaboration with product, application, data, and security teams to gather requirements and deliver platform capabilities 

• Planning and management of platform initiatives, including timelines, resourcing, and budget oversight 

• Mentoring engineers and fostering knowledge sharing and continuous improvement.