Uber Senior Software Engineer Elasticsearch Amsterdam 

United States, West Virginia 

109396230

What you will do

• Working with the team to design, document, build, secure, and maintain Elasticsearch, Logstash, Kibana (ELK Stack) Enterprise solutions deployed with the ECK K8s operator to support non-production and production deployments
• Working closely with architects, engineers, and integrators to assess customer requirements and to design and support an ELK Stack solution to ensure needs are met
• Follow life-cycle processes to move solutions from Staging to Production
• Maintain and develop logstash pipelines to process numerous log sources
• Installing and configuring an Elastic Cloud Kubernetes (ECK) solution in a non-production and production environments and ensuring communication and integration among the Elasticsearch products and data sources
• Documenting the installation and configuration for deployment into production
• Securing the solution by being familiar with TLS, certificates, SSO/PIV authentication, and encryption technologies
• Developing and applying quantitative and qualitative analytic methods to identify, collect, process and analyze large data sets for specified purposes
• Working with ‌data lifecycle management
• Testing data flows, troubleshooting issues, and monitoring the health of the solution and servers to maximize performance and minimize downtime
• Serving as a trusted advisor, providing subject matter expertise, guidance, and best-practice recommendations

Basic Qualifications

• Bachelor’s/Master’s degree in Computer Science or equivalent experience
• Proficient in one of the following programming languages: Java, Go, C/C++ or similar languages. Good scripting skills and ability to pick up new ones.
• Systematic problem-solving approach and knowledge of algorithms, data structures, and complexity analysis.
• 5+ years of Elasticsearch stack (Elasticsearch, Logstash, Beats, Kibana) experience in production
• Experience with data ingest, Extract, Transform, and Load (ETL) techniques, preferable with Logstash and Beats
• Experience with multi-node clustering, architecture, development, implementation, and health monitoring of the indexes
• Knowledge of hot/warm/cold data/index lifecycle management implementations
• Knowledge of Elasticsearch Management, reindexing, and data mappings, JSON and KQL searching syntax, and Kibana dashboard options
• Expertise in containerization with Docker/Kubernetes and orchestration tools Ansible/ Puppet

Bonus Qualifications

• Experience in architectures involving multiple microservices and their interaction with web services.
• Experience designing and implementing highly scalable, robust, and fault-tolerant services
• Familiarity with observability tools such as Prometheus, Grafana, and the Elastic stack
• GCP, AWS, and/or Kubernetes certifications are strongly preferred

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .