Principal Software Developer - Storage Engine - Elasticsearch @Elastic

Overview

The role involves joining the globally distributed, fully remote Elasticsearch - Storage Engine team as a Principal Software Developer. The team develops core storage and query technologies for observability workloads, focusing on storage efficiency and query processing.

Key Responsibilities

• Lead the architectural evolution of core storage engine components, resolving performance bottlenecks.
• Initiate cross-organizational initiatives to build observability solutions.
• Collaborate with a globally distributed team on Elasticsearch logs and metrics capabilities.
• Introduce best practices for clean coding and system improvements.
• Act as a subject matter expert and mentor within the engineering organization.
• Triage and resolve issues related to Elasticsearch, collaborating with domain experts.
• Write modern Java code, as Elasticsearch is predominantly Java-based.

Requirements

• Ability to collaborate across teams and transition between projects effectively.
• Strong autonomous work ethic with efficient communication in a distributed team.
• A proven track record in utilizing AI for development and debugging complex systems.
• Experience in indexing, storing, and querying time-series or logs data.
• Proficient with data storage technologies like Elasticsearch, PostgreSQL, or MongoDB.
• Strong core Java skills and understanding of concurrency primitives.
• Excellent communication skills and competence in a collaborative environment.

Benefits

• Competitive pay and health coverage for employees and their families.
• Flexible work locations and schedules.
• Generous vacation policy.
• Financial matching for donations and volunteer project support.
• Parental leave of a minimum of 16 weeks.
• Participation in Elastic's stock program.
• Company-matched Registered Retirement Savings Plan (RRSP).

Location

Remote - Candidates from Canada are welcome to apply.

How to Apply

Interested candidates can apply through Elastic's career page.