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. This role is for Mumbai location.

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.

Qualifications

• Experience: 8+ years of experience in the data/software space, with at least 3+ years in a formal people management or technical leadership role leading Data Science or ML teams.

• Strong hands-on experience with cloud platforms (AWS, Azure, and/or GCP)

• Strong expertise in Infrastructure as Code, preferably Terraform

• Solid experience with Docker and Kubernetes

• Experience designing and operating CI/CD pipelines

• Proficiency in Python scripting and strong Linux fundamentals

• Good understanding of SRE principles, reliability, scalability, and security best practices

• AI-Native Engineering Leadership: Experience managing teams that utilize Cursor, GitHub Copilot, or Claude Code as a core part of their daily workflow.

• Strong communication, leadership, and stakeholder management skills

• Fluency in English, written and spoken.