Platform Engineering Manager

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity, and driven by responsibility. We’re optimists for change and we help clients initiate, navigate, and benefit from transformation. We believe optimism is a force multiplier, helping clients mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our consultants serve clients worldwide. Our expertise delivers results. Our optimism transforms outcomes.

• 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. 

  
  

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.