Engineering Lead - Cloud deployment

About Cognite Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging AI and data to unravel complex business challenges through our cutting-edge offerings including Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year. In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future. Learn more about Cognite here Cognite Product Tour 2024 Cognite Product Tour 2023 Data Contextualization Masterclass 2023 Our values Impact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves. Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success.  Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth.  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. Key Responsibilities

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 improvements

Contribute to Cognite’s AI-native transformation, embedding automation, AI-assisted diagnostics, and intelligent observability into engineering operations

Who You Are

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 Qualifications

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)