Sia
Management Consulting
PlatformEngineeringManager
Neural analysis suggests this role is
optimal for mid candidates.
“Platform Engineering Manager at Sia. Skills: Platform Engineering, AI Platforms, Cloud Services, Team Leadership. Lead Platform / DevOps / SRE engineering teams. Own internal platform products”
What You'll Achieve.
Improve automation, scalability, reliability, and developer productivity; Deliver platform capabilities that directly support AI, data, and software workloads; Ensuring delivery excellence and engineering culture; Deliver scalable, reliable, and secure platform capabilities; Providing reliable, scalable, and easy-to-use platform services; Aligned with business and delivery objectives; Enabling automation, self-service, and scalability; Providing reliable, secure, and scalable platforms; Ensure availability, performance, and resilience; Address the challenges of scaling AI and data platforms; Gather requirements and deliver platform capabilities; Platform Ownership: Treats platform capabilities as long-lived products; Enablement Mindset: Measures success by how effectively product teams ship using the platform; Technical Judgment: Understands platform trade-offs; Production Readiness: Ensures platforms are production-grade; 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 platform, DevOps, and infra engineers; Calm Ownership: Leads with clarity and accountability during incidents and scale challenges
Industry & Context.
Mitigate downside and maximize opportunity; Address the challenges of scaling AI and data platforms
What They're Looking For.
Must Have
8+ years of experience in the data/software space, 3+ years in a formal people management or technical leadership role leading Data Science or ML teams, hands-on experience with cloud platforms (AWS, Azure, and/or GCP), expertise in Infrastructure as Code, preferably Terraform, Solid experience with Docker and Kubernetes, Experience designing and operating CI/CD pipelines, Proficiency in Python scripting, 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, communication, leadership, and stakeholder management skills, Fluency in English, written and spoken
Nice to Have
Kubernetes platform ownership
What You'll Do.
Lead Platform / DevOps / SRE engineering teams
Own internal platform products
Support Data Scientists
Define and execute platform engineering strategy
Develop and operate internal developer platforms
Support Data Scientists
Manage cloud services architecture and operations
and govern Infrastructure as Code
Containerize and orchestrate applications
Define and standardize CI/CD pipelines
Ensure observability and reliability
Contribute to technological and architectural decisions
Collaborate with product
Plan and manage platform initiatives
Mentor engineers and foster knowledge sharing
How You'll Work.
Team & Collaboration
Work closely with product managers, data scientists, ML engineers, application engineers, and security teams; Ownership of internal platform products, working closely with product, application, and data engineering teams; Collaboration with product, application, data, and security teams to gather requirements and deliver platform capabilities
Communication Scope
Communication skills; Stakeholder management skills; Fluency in English, written and spoken
Process & Methodology
Planning and management of platform initiatives, including timelines, resourcing, and budget oversight
Full Job Description
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. 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. 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
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