
Real-time data search and analytics for everyone
Elastic, headquartered in Union Square, San Francisco, CA, is a leading provider of real-time data search and analytics software. The company develops the Elastic Stack, which includes popular open-source tools like Elasticsearch, Kibana, Beats, and Logstash, and serves over 17,000 organizations, in...
Elastic offers fully paid health coverage for employees and their families, flexible work schedules, and a generous vacation policy. Employees enjoy a...
Elastic fosters a distributed workforce, emphasizing flexibility and work-life balance. The company values open-source development and encourages empl...

Elastic • United Kingdom
Elastic is seeking a Principal Software Engineer I to enhance the Elasticsearch Distributed Systems team. You'll focus on improving performance and resilience in data indexing and cluster coordination. This role requires expertise in Elasticsearch and distributed systems.
You have a strong background in distributed systems and have spent several years honing your skills in software engineering. Your experience includes working with Elasticsearch, where you've tackled challenges related to data indexing, allocation, and replication across nodes. You understand the intricacies of maintaining high performance in systems that must adapt to changing conditions, such as nodes joining or leaving a cluster. Your problem-solving skills are top-notch, and you thrive when faced with complex performance or concurrency issues. You are also comfortable collaborating with support engineers to resolve challenging problems that arise in production environments.
Experience with cloud-based solutions and a solid understanding of AI applications in search technology would be beneficial. Familiarity with performance optimization techniques and a passion for pushing the limits of what distributed systems can achieve will set you apart. You are eager to learn and grow, and you appreciate the value of mentorship and knowledge sharing within your team.
In this role, you will be responsible for improving the components of Elasticsearch that support concurrent and consistent indexing across multiple machines. You will maintain the cluster coordination system, ensuring that performance remains high even as nodes come and go from the cluster. Your work will involve pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle, which will require innovative thinking and a deep understanding of distributed systems.
You will investigate various issues, including performance bottlenecks and concurrency challenges, proposing and implementing effective solutions. Your contributions will directly impact the scalability and reliability of Elasticsearch, making it a robust choice for organizations that rely on real-time data processing. You will also support our support engineers by providing insights and solutions for the more complex problems they encounter, ensuring that our customers receive the best possible service.
At Elastic, you will be part of a dynamic team that is at the forefront of search technology and AI. We offer a collaborative work environment where your ideas and contributions are valued. You will have the opportunity to work on cutting-edge technology that is used by some of the largest organizations in the world. We believe in fostering a culture of continuous learning and professional development, providing you with the resources and support you need to grow in your career. Join us in our mission to empower businesses and individuals through the power of search and AI.
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