Vice President-Platform, Private SaaS, and Cloud Deployment
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Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
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 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.
About the Opportunity:
As Cognite continues its transformation to an AI-native engineering organization we are strengthening our platform foundation to ensure scalability security and reliability across Private SaaS and Cloud deployments. This role is pivotal in unifying Cognites delivery architecture and enabling our moonshot to build the worlds most trusted intelligent industrial platform.
The Engineering Leader Platform Private SaaS and Cloud Deployment will lead a global team responsible for the technical backbone of Cognites deployment ecosystem spanning the entire platform including Private SaaS environments single/multi-tenant cloud deployment developer tooling observability/insight datastore and reliability 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.
How youll drive impact
- 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 Cognites AI-native transformation embedding automation AI-assisted diagnostics and intelligent observability into engineering operations.
What you will bring
- 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).
Join the Global Cognite Community
Be part of a diverse global team of 70 nationalities building technology that transforms how the worlds industries operate.
Work from our modern Bengaluru hub in a hybrid high-trust environment with a flat structure and direct access to decision-makers.
At Cognite youll learn fast make an impact and grow your career alongside exceptional talent.
Why Cognite
Recognized by CNBC and Frost & Sullivan as a global innovation leader Cognite is driving the next wave of industrial AI and digital transformation.
Join us to shape the future of data and industry.
Apply today and follow us on LinkedIn (@Cognite) to discover more opportunities.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Exec
Key Skills
- Change Management
- Financial Services
- Growing Experience
- Managed Care
- Management Experience
- Analysis Skills
- Senior Leadership
- Performance Management
- Process Management
- Leadership Experience
- negotiation
- Analytics
About Company
Deliver a step-change in productivity, safety, and performance with unified, trustworthy industrial data for every use case.
