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高级软件开发工程师 - 性能调优 - Elasticsearch

Principal Software Developer - Performance Tuning - Elasticsearch

开发工程限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司Elastic
薪资154,000 - 243,600/年 CAD
工作地点Canada
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型permanent
发布时间2026-08-18
数据来源4dayweek.io
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注意地域限制:该职位明确限定在 Canada 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。

Elastic,搜索AI公司,让每个人都能实时使用所有数据找到所需答案,实现企业与个人的潜力。Elastic搜索AI平台被超过50%的财富500强企业使用,将搜索的精准性与AI的智能结合,使每个人都能加速实现关键成果。通过利用所有结构化和非结构化数据——更有效地保障和保护隐私信息——Elastic基于云的完整搜索、安全和可观测性解决方案帮助组织实现AI的承诺。

#### **职位简介**

Elasticsearch为全球最大的组织提供搜索、可观测性和AI检索(RAG)。我们正在寻找一名高级软件工程师加入Elasticsearch性能团队。在此职位中,您将领导架构和代码级别的性能工程计划。您的目标是推动Elasticsearch性能的持续优化和可预测性,与各专业团队合作,释放我们软件的全部潜力。

#### **工作内容**

- 从架构到生产,负责核心性能工程计划,专注于高影响优化的交付。领导重大架构和代码级别性能改进的技术设计、计划和执行。
- 开发复杂分布式系统的基础性能模型和方法论。
- 推动优化策略,确保Elasticsearch在各种环境中保持高性能、可预测性和可扩展性。
- 对系统行为进行分析,识别日志、指标、向量搜索和ES|QL中的瓶颈。
- 确保有状态和无状态(Serverless)架构的稳健性能基准和回归检测。
- 在公司内部协作,将性能优先思维嵌入新功能的早期阶段。
- 通过设计和构建AI辅助优化工具链,推动自动化工作,简化分析、假设测试和基准测试。
- 指导和培养其他工程师,营造技术卓越和性能意识开发的文化。

#### 任职要求

- 深入了解Java内部机制和JVM内存管理。理解并发模型的工作原理。能够编写高性能、线程安全且无锁的代码。此经验包括工作于大型分布式系统和高吞吐量应用环境。

查看英文原文

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

#### **What is The Role**

Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Principal Software Engineer to join the Elasticsearch Performance team. In this role, you will lead architectural and code-level performance engineering initiatives. Your goal is to drive the continuous optimization and predictability of Elasticsearch performance, partnering with area-specific teams to unlock the full potential of our software.

#### **What You Will Be Doing**

- 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.

#### What You Bring

- You have deep knowledge of Java internals and JVM memory management. You understand how concurrency models work. You can write code that is high-performance, thread-safe, and lock-free. This experience includes working with large open-source and enterprise codebases.
- You have proven experience in profiling and optimizing distributed systems. This includes deep experience with benchmarking tools (e.g.,flamegraphs, JMH, Rally), identifying performance regressions, and implementing algorithmic or hardware-aware optimizations.
- You have a solid comprehension of distributed systems architecture, including partition tolerance, cluster state propagation, and scaling challenges in large-scale data stores.
- You have a proven track record of using AI or advanced tooling to accelerate optimization, debug complex performance issues, and automate benchmarking workflows.
- You possess the ability to collaborate across functions and teams, acting as a force multiplier for performance engineering across the organization.
- You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities
- You can work autonomously, drive decisions and result in a distributed team by leveraging asynchronous, direct, and transparent communication.

#### Bonus Points

- Experience integrating high-performance native libraries (e.g., C++, Rust, SIMD-accelerated code) into Java applications.
- Deep knowledge of modern storage engine performance, index modes, or vector search optimizations.
- Experience defining and managing Performance SLAs and success criteria for distributed systems.
- Experience working on the internals of a large-scale data store or search engine.
- Experience working on the internals of a data store or search engine.

Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.  The typical starting salary range for new hires in this role is listed below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program.  Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is:

$154,000—$243,600 CAD

### **Additional Information - We Take Care of Our People**

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email [candidate_accessibility@elastic.co](mailto:candidate_accessibility@elastic.co). We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: [Family and Medical Leave Act (FMLA)](https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/fmlaen.pdf) Poster;[Pay Transparency Nondiscrimination Provision](https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) Poster; [Employee Polygraph Protection Act (EPPA)](https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppabw.pdf) Poster and [Know Your Rights](https://www.dol.gov/sites/dolgov/files/OFCCP/regs/compliance/posters/pdf/22-088_EEOC_KnowYourRights.pdf) (Poster)

Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

Please see [here](https://www.elastic.co/legal/applicant-privacy-statement) for our Privacy Statement.

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