You will be responsible for looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. You will also support our support engineers with harder problems.

To be successful in this role, you will need a strong background in distributed systems and consensus algorithms. You should have strong skills in core Java and be conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You should also have a deep technical proficiency in algorithms and be able to understand and work on complex, highly distributed systems.

In addition to your technical skills, you should be able to own projects from beginning to end, covering both technical design and working with others to develop needed components. You should also have experience leading projects spanning multiple teams and communicating with a variety of stakeholders.

Bonus points will be given for data stores, search, analytics, Lucene, strong knowledge of the JDK, and asynchronous event-driven network frameworks such as Netty.

This role is eligible to participate in Elastic's stock program and has a competitive salary range of $192,500-$304,500 CAD.

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Your responsibilities will include:

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.

To be successful in this role, you'll need a strong background in distributed systems and consensus algorithms. You should also have strong skills in core Java and be conversant in the standard library of data structures and concurrency constructs, as well as newer language features.

Bonus points will be given if you have experience with data stores, search, analytics, Lucene, and asynchronous event-driven network frameworks such as Netty.

At Elastic, we take care of our people. We strive to have parity of benefits across regions and believe taking care of our people is the right thing to do. We offer competitive pay, health coverage for you and your family, flexible locations and schedules, generous vacation days, and more.

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Responsibilities:

• Improve Elasticsearch's components that support concurrent and consistent indexing across multiple machines.
• Maintain 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.
• Push the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today.
• Look into all kinds of issues, including performance or concurrency issues, and propose solutions.
• Support our support engineers with the harder problems.

Requirements:

• Strong background in distributed systems and consensus algorithms.
• Strong skills in core Java and a deep technical proficiency in algorithms.
• Ability to understand and work on complex, highly distributed systems.
• Ability to build and debug features with a broad impact, running on multiple machines.
• Ability to own projects from beginning to end.

Bonus Points:

• Data stores
• Search, analytics, Lucene
• Strong knowledge of the JDK
• Asynchronous event-driven network frameworks such as Netty

Compensation for this role is in the form of base salary. The typical starting salary range for new hires in this role is $133,100-$210,600 USD. 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.

Additional Information:

• As a distributed company, diversity drives our identity.
• 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

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Key responsibilities include:

• 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.

To succeed in this role, you will need a strong background in distributed systems and consensus algorithms. You should have strong skills in core Java and be conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You should also have a deep technical proficiency in algorithms and have shown your ability to understand and work on complex, highly distributed systems.

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