Platform Engineering Manager

Sia Partners; Mumbai; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

Sia Partners in Mumbai is seeking a Platform Engineering Manager to design and deliver AI platform capabilities, bridging product vision with cloud-native engineering. You will lead platform/DevOps/SRE teams, own internal platform products, and collaborate with data scientists, ML engineers, and security teams.

The role emphasizes automation, scalability, reliability, and developer productivity across AWS/Azure/GCP, Docker, and Terraform.

Qualifications

• 8+ years in data/software with at least 3+ years in formal people management or technical leadership leading Data Science or ML teams.
• Hands-on cloud experience (AWS, Azure, and/or GCP).
• Terraform IaC expertise.
• Docker and Kubernetes experience.
• 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 using Cursor, GitHub Copilot, or Claude Code.
• Strong communication, leadership, and stakeholder management skills; fluency in English.

Responsibilities

• Leadership of Platform/DevOps/SRE engineering teams, ensuring delivery excellence and strong engineering culture
• Ownership of internal platform products, delivering scalable, reliable, and secure platform capabilities
• Support to Data Scientists, ML Engineers, Data Engineers, and Software Engineers by providing reliable, scalable platform services
• Definition and execution of the platform engineering strategy and roadmap, aligned with business goals
• Development and operation of internal developer platforms enabling automation, self-service, and scalability
• Collaboration with product, application, data, and security teams to gather requirements
• Planning and management of platform initiatives, including timelines, resourcing, and budget oversight
• Mentoring engineers and fostering knowledge sharing and continuous improvement

Skills

Leadership

Python scripting

Linux fundamentals

SRE principles

English fluency

Communication

Stakeholder management

Tools

AWS

Azure

GCP

Terraform

Docker

Kubernetes

GitHub Copilot

Cursor

Claude Code

Job description

Job Description

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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.