Senior Software Engineer (Elasticsearch / SRE) | Amsterdam

Requirements

• 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, data mappings, JSON and KQL searching syntax, and Kibana dashboard options
• Expertise in containerization with Docker/Kubernetes and orchestration tools Ansible/ Puppet

Nice to Haves

• 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

What you'll be doing

• Working with the team to design, document, build, secure, and maintain Elasticsearch, Logstash, Kibana (ELK Stack) Enterprise solutions deployed with the ECK K8s operator
• Working closely with architects, engineers, and integrators to assess customer requirements and design ELK Stack solutions
• Follow life-cycle processes to move solutions from Staging to Production
• Maintain and develop logstash pipelines, install and configure Elastic Cloud Kubernetes, document installations, and configurations
• Securing solutions with TLS, certificates, SSO/PIV authentication, and encryption technologies
• Developing and applying methods to process and analyze large data sets, working with data lifecycle management
• Testing data flows, troubleshooting issues, and monitoring solution health
• Serving as a trusted advisor, providing subject matter expertise and guidance

Perks and Benefits

• We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently
• Accommodations may be available based on religious and/or medical conditions, or as required by applicable law