Sia

Platform Engineering Manager

Job · Full-timeIn OfficeMumbaiEntry level / 0-2 years1 opening

About this role

Sia is hiring for Platform Engineering Manager in Mumbai. This opening was published by Sia on their official smartrecruiters careers board on 17 August 2026 and was verified as still open on 17 September 2026. About the role Sia is a next-generation, global management consulting group. Founded in…

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Skills you'll use

PythonAWSAzureGCPDockerKubernetesLinuxCommunicationGenerative AICI/CDTerraformStakeholder Management

What you'll do

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

Who can apply

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. 
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.

Perks & benefits

Opportunity to lead cutting-edge AI projects in a global consulting environment. A dynamic and collaborative team environment with diverse projects. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. 