What tech stack does SLB use?
SLB's stack is detected from public sources such as careers pages, job postings, BuiltWith-style website signals, and role descriptions, so it is directional rather than a complete internal inventory. Public signals point to Azure, AWS, Kubernetes, Python, C++, Java and related enterprise/industrial systems.
- Enterprise
- Azure
- Cloud
- Azure, AWS
- Data
- Python, SQL
- Analytics
- Power BI
- Operations
- Industrial systems
- ITSM/GTM
- ServiceNow
SLB's detected technologies
Public signals indicate a mixed enterprise, cloud, data, and industrial operations stack.
- Azure· Infrastructure
- AWS· Infrastructure
- Kubernetes· Infrastructure
- Python· Data/analytics
- C++· Engineering software
- Java· Backend
- SQL· Data
- Snowflake· Data
- Power BI· Analytics
- ServiceNow· ITSM
What does SLB use on the backend and infrastructure?
Public signals point to enterprise systems such as Azure, AWS, Kubernetes, Python plus cloud, identity, ITSM, and data platforms used to support corporate and operating environments. Because SLB is industrial and asset-heavy, integration with operational systems matters as much as standard SaaS integration.
What does SLB use on the frontend, data, or GTM tooling?
Detected technologies include C++, Java, SQL, Snowflake, Power BI, ServiceNow. These signals should be validated in discovery because public job postings and website scans reveal only part of the stack, not every internal platform or plant-level system.
What SLB's stack means if you sell to them
Integration pitches should map to SAP/ERP, cloud, data platforms, industrial historians, security, and workflow systems already present in the account. Displacement pitches need a strong business case because mature industrial buyers prefer tools that reduce operating risk and connect cleanly to existing systems.
As of June 2026.Sources:SLB careersslb.com BuiltWith profileSLB annual reports
SLB — frequently asked questions
