Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.

What Cognite is Relentless to achieve

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you’ll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.

How you’ll demonstrate Ownership

The Engineering Leader – Platform, Private SaaS, and Cloud Deployment will lead a global team responsible for the technical backbone of Cognite’s deployment ecosystem — spanning the entire platform including Private SaaS environments, single/multi-tenant cloud deployment, developer tooling, observability/insight, datastore, and reliability engineering. This leader will drive the end-to-end strategy for how Cognite builds, deploys, operates, and monitors its services across environments. The role requires a balance of strategic thinking, architectural depth, and operational rigor, along with the ability to lead and build high-performing teams across multiple geographies.

The Impact you bring to Cognite

• Own the overall deployment strategy across Private SaaS and Multi Cloud, ensuring consistency, scalability, and reliability.
  
  
• Lead and grow engineering teams responsible for platform services, developer tools, observability, and reliability practices.
  
  
• Define and execute the roadmap for deployment automation, environment management, observability, and continuous delivery.
  
  
• Drive operational excellence across all environments, ensuring uptime, performance, and service quality aligned to defined SLOs.
  
  
• Establish and maintain reliability metrics (SLOs, SLIs, error budgets) and embed these into engineering culture and processes.
  
  
• Partner with the Architecture, Security, and Product teams to ensure platform services meet performance, compliance, and scalability goals.
  
  
• Champion platform reusability and internal developer productivity through tools, shared services, and CI/CD optimisation.
  
  
• Lead incident management and post-mortem practices, fostering learning and transparency.
  
  
• Collaborate with customers and partners for Private SaaS deployments to ensure secure, compliant, and high-performing environments.
  
  
• Mentor engineering managers and leads, driving a culture of ownership, technical excellence, and continuous improvement.
  
  
• Contribute to Cognite’s AI-native transformation, embedding automation, AI-assisted diagnostics, and intelligent observability into engineering operations.
  
  

Required Qualifications

• 10+ years of engineering experience, including 4+ years in engineering leadership roles spanning platform, infrastructure, or reliability domains.
  
  
• Proven success leading SaaS or hybrid cloud deployments with high availability and stringent security requirements.
  
  
• Deep understanding of cloud infrastructure (AWS, Azure, GCP) and container orchestration (Kubernetes, Helm, Terraform, etc.).
  
  
• Hands-on familiarity with observability and reliability practices (e.g., SLO/SLI, error budgets, incident management).
  
  
• Demonstrated ability to lead complex technical programs across multiple teams and time zones.
  
  
• Strong collaboration and influencing skills able to partner with Product, Architecture, and Security to drive shared outcomes.
  
  
• Proven experience in building scalable engineering systems and teams that balance innovation with reliability.
  
  
• Strategic mindset with the ability to connect technical initiatives to business impact and customer outcomes.
  
  
• Passionate about modern engineering practices, developer productivity, and a culture of learning and excellence.

Preferred Experience

• Experience in data platforms, industrial, or mission-critical software.
  
  
• Background in multi-cloud or Private SaaS delivery models.
  
  
• Familiarity with compliance frameworks such as ISO 27001, SOC2, GDPR, or similar.
  
  
• Exposure to AI-driven observability or autonomous remediation systems.
  
  
• Experience managing distributed teams across geographies (Europe and Asia).