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
- 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
- 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
- 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
- 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
