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.
We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience, especially in the context of our Serverless offering. You will be tackling deep distributed systems challenges in how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and managed across nodes.
Задачи
Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines
Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole
Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today
Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions
Supporting our support engineers with the harder problems
Owning operational investigations end-to-end, until performance or stability issues are successfully resolved
Требования
You have a deep background in distributed systems and consensus algorithms
You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features
You have a deep technical proficiency in algorithms
You have shown your ability to understand and work on complex, highly distributed systems, rather than making use of off-the-shelf services
You demonstrate the ability to build and debug features with a broad impact, running on multiple machines
You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components
You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes
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 results in a distributed team by leveraging asynchronous, direct, and transparent communication
Leveraging your distributed systems expertise to build, and operate core pieces of our next-generation Serverless Elasticsearch offering, directly impacting the experience of customers worldwide
Будет плюсом
Data stores
Search, analytics, Lucene
Strong knowledge of the JDK
Asynchronous event-driven network frameworks such as Netty
The typical starting salary range for new hires in this role is listed below
In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified 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 401k 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
The typical starting salary range for this role in the select locations listed above is
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
Условия
Compensation for this role is in the form of base salary. This role does not have a variable compensation component
133,100 — $210,600 USD
159,900 — $252,900 USD
Паспорт вакансии
История публикации
Появилась в Вакандии29 днейв источнике с 19.03.2026
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 24 дня назад
Среди похожихНет данныху карточки не хватает полей, чтобы найти похожие
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдSeniorвычитано из текста вакансии
Формат работыне указан
ГеографияСиэтл, СШАвычитано из текста вакансии
Зарплата133 100 USD — 210 600 USD в годвычитано из текста вакансии
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки753 из 4 полей: грейд, формат, география, зарплата
Зарплата названа100вилку назвал источник
Проверка Вакандии
Источники и свежесть
Тип источника
Карьерный сайт работодателя
Найдено публикаций
1
Посмотреть публикации и даты
greenhouseОсновная публикация · 2026-03-19
E
Работодатель
Elastic
50 активных вакансий · вилка работодателя указана в 35%