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高级软件开发工程师 - 性能调优 - Elasticsearch

Senior 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128,300 - 203,000/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他们需要的答案——释放企业和个人的潜力。Elastic搜索AI平台被超过50%的财富500强企业使用,将搜索的精确性和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基于云的完整解决方案,用于搜索、安全和可观测性,帮助组织实现AI的承诺。

#### **职位描述**

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开发工程师加入Elasticsearch性能团队。在此职位中,您将通过高质量代码和技术分析,为性能工程计划做出贡献。您的目标是帮助提升Elasticsearch性能的优化和可预测性,与特定领域团队合作,提升我们的软件。

#### **您将负责的工作**

- 从开发到生产,参与核心性能工程计划,专注于交付有影响力的优化。执行架构和代码级别的性能改进的技术设计和计划。
- 实现复杂分布式系统的基础性能模型和方法论。
- 支持优化策略,确保Elasticsearch在各种环境中保持高性能、可预测和可扩展。
- 对系统行为进行剖析和分析,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。
- 与团队成员协作,将性能导向的开发实践应用于新功能。
- 通过构建AI辅助的优化工具链,推动自动化工作,简化剖析、假设测试和基准测试。
- 为其他工程师提供技术指导和同行评审,培养技术卓越的文化。

#### 您具备的条件

- 深入了解Java内部机制和JVM内存管理。您理解并发模型的工作原理。您能够编写高性能、线程安全且无锁的代码。此经验包括与大型分布式系统打交道。

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 Senior Software Developer to join the Elasticsearch Performance team. In this role, you will contribute to performance engineering initiatives through high-quality code and technical analysis. Your goal is to help improve the optimization and predictability of Elasticsearch performance, collaborating with area-specific teams to enhance our software.

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

- Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimizations. Executing technical designs and plans for architectural and code-level performance improvements.
- Implementing foundational performance models and methodologies for complex, distributed systems.
- Supporting 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 with peers across the team to apply performance-focused development practices into new features.
- Contributing to automation efforts by building AI-assisted optimization harnesses that streamline profiling, hypothesis testing, and benchmarking.
- Providing technical guidance and peer reviews to other engineers, fostering a culture of technical excellence.

#### 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., 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 effectively within a team environment, contributing to the success of performance engineering goals.
- 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:

$128,300—$203,000 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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