Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society.
Global Presence:
340,000 team members in more than 50 countries
Heritage:
Over 55 years of trusted expertise
Services:
End-to-end solutions from strategy and design to engineering
Core Capabilities:
AI, Generative AI, Cloud, Data, and deep industry expertise
2024 Global Revenue:
EUR22.1 billion
Position: Data Streaming Engineer
As a
Data Streaming Engineer
, you will build and maintain robust, scalable Kubernetes-based event streaming platforms. You will ensure reliability and efficiency in production and development environments, enabling smooth deployments and accurate event reporting.
Key Responsibilities
1. Kubernetes Infrastructure Management
Design, provision, and maintain Kubernetes clusters across cloud, on-premises, and hybrid environments
Monitor cluster performance and optimize resource utilization
Troubleshoot issues and implement solutions to ensure high availability and stability
2. Splunk Operations & Engineering
Manage Splunk infrastructure (indexers, search heads)
Troubleshoot ingestion issues, latency, and indexing delays
Develop and maintain SPL queries, saved searches, alerts, and dashboards
Perform capacity planning, performance tuning, and upgrade planning
Implement data onboarding strategies and field extractions for new log sources
3. Cribl Pipeline Management
(Preferred) Experience with Cribl
Design, build, and optimize Cribl pipelines for log routing, transformation, filtering, and enrichment
Integrate Cribl with various data sources and destinations
Automate pipeline deployments and configuration using CI/CD and GitOps practices
4. Production Support
Participate in incident response and resolution to minimize downtime
Continuously analyze and improve performance, reliability, and security of production environments
Qualifications
Bachelor's degree in Engineering, Computer Science, IT, or related field
Minimum 5 years of professional experience
Excellent English communication skills (verbal and written)
Technical Expertise:
Kubernetes:
Deep understanding of architecture, concepts, and best practices; hands-on experience managing clusters at scale
Splunk or ELK:
Experience with log data platforms, data organization, and analysis
GitLab:
Familiarity with CI/CD features and pipeline scripting
Cloud Platforms:
AWS, Azure, GCP experience
Troubleshooting:
Strong problem-solving and root cause analysis skills
Soft Skills:
Strong collaboration and communication skills
Ability to work effectively with cross-functional teams
Ref. code
347327-en_US
Posted on
07 Jan 2026
Experience level
Experienced Professionals
Contract type
Permanent
Location
Cairo
Business unit
Cloud Infrastructure Services
Brand
Capgemini
Professional communities
Architecture
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