4 Log Processing Jobs

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, supported and inspired by a collaborative community of colleagues around the world, and able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Design, implement, and administer Cribl Stream, Edge, and Search environments for enterprise-scale observability. Deploy, configure, maintain, and optimize Cribl solutions for data streaming, log routing, and telemetry processing. Design and manage data pipelines for logs, metrics, and observability data across distributed systems. Configure parsers, reducers, enrichments, filters, and routing rules for efficient log processing. Integrate Cribl with monitoring and SIEM platforms such as Splunk, Elastic, and Datadog. Your Profile 4 to 12 years of experience in observability and log management using Cribl solutions. Expertise in deploying, configuring, and managing Cribl Stream, Edge, and Search. Proficiency in Python, Bash, and familiarity with automation tools and DevOps pipelines. Strong understanding of observability architecture, log processing, and telemetry data flows. Experience integrating Cribl with SIEM and monitoring tools like Splunk, Elastic, and Datadog. What You Will Love Working At Capgemini Work on cutting-edge observability solutions supporting mission-critical systems. Expand your expertise in Cribl, Python, API scripting, and log pipeline engineering. Clear career progression paths from platform administration to architecture and consulting roles. Be part of high-impact projects that drive performance, visibility, and operational excellence for global clients. Thrive in a diverse, inclusive, and respectful environment that values your voice and ideas. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Design, implement, and administer Cribl Stream, Edge, and Search environments for enterprise-scale observability. Deploy, configure, maintain, and optimize Cribl solutions for data streaming, log routing, and telemetry processing. Design and manage data pipelines for logs, metrics, and observability data across distributed systems. Configure parsers, reducers, enrichments, filters, and routing rules for efficient log processing. Integrate Cribl with monitoring and SIEM platforms such as Splunk, Elastic, and Datadog. Your Profile 4 to 12 years of experience in observability and log management using Cribl solutions. Expertise in deploying, configuring, and managing Cribl Stream, Edge, and Search. Proficiency in Python, Bash, and familiarity with automation tools and DevOps pipelines. Strong understanding of observability architecture, log processing, and telemetry data flows. Experience integrating Cribl with SIEM and monitoring tools like Splunk, Elastic, and Datadog. What You Will Love Working at Capgemini Work on cutting-edge observability solutions supporting mission-critical systems. Expand your expertise in Cribl, Python, API scripting, and log pipeline engineering. Clear career progression paths from platform administration to architecture and consulting roles. Be part of high-impact projects that drive performance, visibility, and operational excellence for global clients. Thrive in a diverse, inclusive, and respectful environment that values your voice and ideas. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

You will be responsible for translating complex functional requirements into technical requirements and implementing a coherent and progressive development strategy for our product line. Designing, developing, and maintaining complex systems using the best development practices and technology available will be a key part of your role. You will oversee the overall software development life cycle, ensuring the delivery of high-quality, scalable, and extensible systems and applications on time and within budget. It will be your responsibility to adopt and evolve software engineering practices and tools within the organization, staying up-to-date with the latest technology developments and open source offerings. Collaboration with other technology and business teams to provide efficient and robust solutions to problems is crucial. Additionally, driving and managing the bug triage process, as well as reporting on the status of product delivery and quality to management, customer support, and product teams, will be part of your daily tasks. To be successful in this role, you should have a minimum of 5+ years of hands-on experience in Java and a strong understanding of data structures and algorithms. A sound understanding of object-oriented programming, excellent software design skills, and experience with SOA/Microservices/Restful services and N-tier J2EE/Java Springboot applications (API's) are required. You should also possess a strong understanding of database design, experience in writing optimized SQL queries, exposure to NoSQL databases, and familiarity with Apache Kafka, RabbitMQ, or other Queueing systems. Good knowledge of caching technologies and experience in log processing and creating monitoring dashboards will be beneficial for this role.,

The job requires you to translate complex functional requirements into technical requirements and implement a coherent and progressive development strategy for the product line. You will design, develop, and maintain complex systems using the best development practices and technology available. You will be responsible for the overall software development life cycle, ensuring the delivery of high-quality, scalable, and extensible systems and applications on time and within budget. It is essential to adopt and evolve software engineering practices and tools within the organization, staying updated with the latest technology developments and open-source offerings to solve business problems effectively. Collaboration with other technology and business teams is crucial to provide efficient and robust solutions. Managing the bug triage process and reporting on the status of product delivery and quality to management, customer support, and product teams are also part of the responsibilities. The ideal candidate should have a minimum of 5 years of hands-on experience in Java, a strong understanding of data structures and algorithms, and sound knowledge of object-oriented programming with excellent software design skills. Experience with SOA/Microservices/Restful services and development of N-tier J2EE / Java Springboot applications is required, along with a strong understanding of database design and optimized SQL query writing. Exposure to NoSQL databases, Apache Kafka, RabbitMQ, or other Queueing systems, caching technologies, log processing, and creating monitoring dashboards will be beneficial for this role.,