Data Streaming
at Capgemini
Posted 5 days ago
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As a Data Streaming Engineer, you will build and maintain Kubernetes-based event streaming platforms across cloud, on-premises, and hybrid environments. You will ensure reliability and efficiency in production and development, enabling smooth deployments and accurate event reporting. Responsibilities include Kubernetes infrastructure management, Splunk operations, Cribl pipeline management, and production support. The role requires a minimum of 5 years of professional experience and strong collaboration with cross-functional teams.
Long Description
About Capgemini
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: €22.1 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
