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 Sias 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.

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.

Additional Information :

What Success Looks Like

• Platform Ownership: Treats platform capabilities as long-lived products not one-off infra projects.

• Enablement Mindset: Measures success by how effectively product teams ship using the platform.

• Strong Technical Judgment: Understands platform trade-offs across scalability reliability security and cost.

• Production Readiness: Ensures platforms are production-grade (deployment monitoring rollback lifecycle).

• Reliability & Operations: Owns uptime incident response post-mortems and continuous improvement.

• Developer Experience: Reduces friction in CI/CD environments tooling and self-service workflows.

• Cost & Efficiency Awareness: Balances performance with cloud and compute cost optimization

• Roadmap & Prioritization: Aligns platform roadmap with product needs and AI Factory growth.

• Team Leadership: Builds and grows strong platform DevOps and infra engineers.

• Calm Ownership: Leads with clarity and accountability during incidents and scale challenges.

What We Offer

• 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.

Remote Work :

No

Employment Type :

Full-time

Key Skills
Hospitality Experience,Go,Management Experience,React,Redux,Node.js,AWS,Mechanical Engineering,Team Management,Leadership Experience,Mentoring,Distributed Systems
Department / Functional Area: Data Science
Experience: years
Vacancy: 1