Platform Engineering Manager
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Job Location:
Monthly Salary:
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
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
About Company
Sia est un groupe international de conseil en management de nouvelle génération. Fondé en 1999, nous sommes nés à l’ère du numérique. Aujourd’hui, nos services en stratégie et management sont augmentés par la data science, enrichis par la créativité et guidés par la responsabilité. No ... View more
