Senior Elastic Engineer
Freddie Mac · McLean, VA · 3 mo ago
Information Technology$122k–$184k/yrFull-time
Key Responsibilities
- Design and implement Elastic solutions for data ingestion, storage, application performance management, dashboards, Kibana, anomaly detection, Gen AI and analytics, ensuring high performance and scalability
- Optimize Elastic stack components, including Elasticsearch, Logstash, Kibana, agents, etc.
- Monitor and troubleshoot Elastic stack performance, addressing any bottlenecks or issues
- Develop automated solutions for maintaining the Elastic cluster while following best practices for development, deployment, and monitoring
- Stay updated on industry trends and advancements in the enterprise logging and monitoring space
Qualifications
- Bachelor’s degree in computer science, Information Technology, or related field (or equivalent experience)
- 5 – 7 years of hands-on experience with Elastic
- Strong expertise in system design, data architecture, automation and scalability
- Strong knowledge of Machine learning concepts and hands-on experience implementing Anomaly Detection ML jobs in Elastic
- Proficiency in scripting and programming languages (e.g., Python, NodeJS, Java, etc.)
- Hands-on experience with DevOps practices, CI/CD pipelines, and infrastructure automation tools
- Working experience with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes)
- Familiarity with logging and monitoring tools integrated with Elastic
- Experience using Gen AI tools for code development