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Principal Software Developer - Performance Tuning - Elasticsearch

Elastic· Platform - Elasticsearch
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Hybrid (Canada)CA$154k - CA$243.6kfull-timePosted 2mo ago

About the role

Principal Software Engineer on the Elasticsearch Performance team focused on architecture-to-production performance optimization, profiling, benchmarking, and AI-assisted optimization to ensure Elasticsearch remains performant, scalable, and predictable across diverse environments.

Responsibilities

  • Owning core performance engineering initiatives from architecture to production, focusing on the delivery of high-impact optimizations. Leading the technical design, plan, and execution for major architectural and code-level performance improvements.
  • Developing foundational performance models and methodologies for complex, distributed systems.
  • Driving optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments.
  • Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL.
  • Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures.
  • Collaborating across the company to embed performance-first thinking into new features from the outset.
  • Drive automation efforts by designing and building AI-assisted optimization harnesses that streamline profiling, hypothesis testing, and benchmarking.
  • Mentoring and coaching other engineers, fostering a culture of technical excellence and performance-aware development.

Qualifications

  • Deep knowledge of Java internals and JVM memory management. Understanding of concurrency models. Ability to write high-performance, thread-safe, and lock-free code. Experience with large open-source and enterprise codebases.
  • Proven experience in profiling and optimizing distributed systems, including benchmarking tools (e.g., flamegraphs, JMH, Rally), identifying performance regressions, and implementing algorithmic or hardware-aware optimizations.
  • Solid comprehension of distributed systems architecture, including partition tolerance, cluster state propagation, and scaling challenges in large-scale data stores.
  • Proven track record of using AI or advanced tooling to accelerate optimization, debug performance issues, and automate benchmarking workflows.
  • Ability to collaborate across functions and teams, acting as a force multiplier for performance engineering.
  • Ability to collaborate across functions and teams and transition between projects, codebases, or teams based on business priorities.
  • Ability to work autonomously, drive decisions, and operate effectively in a distributed team with async, direct, and transparent communication.

Skills

Required:Java performance and concurrencyDistributed systems profilingAI-assisted optimizationCross-functional collaboration

Benefits

  • Stock program eligibility
  • Company-matched RRSP with up to 6% matching
  • Health coverage for employees and family in many locations
  • Flexible locations and schedules
  • Generous vacation days
  • Donations matching up to $2000 (or local currency equivalent)
  • Up to 40 hours/year for volunteer projects
  • Minimum of 16 weeks parental leave
Last updated Aug 20, 2026. Interested? Apply on the company site.
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