Senior Software Engineer, Elastic

Elasticsearch, Performance Team

$153.1-193k

Salary applicable to candidates in the US and may vary in further locations. + Stock Program

Kubernetes

Python

Java

Elasticsearch

Linux

Kibana

Senior and Expert level

Remote from Canada, US

Software that searches and analyses data in real time

Be an early applicant

Software that searches and analyses data in real time

1001+ employees

B2BAnalyticsSaaS

Be an early applicant

$153.1-193k

Salary applicable to candidates in the US and may vary in further locations. + Stock Program

Kubernetes

Python

Java

Elasticsearch

Linux

Kibana

Senior and Expert level

Remote from Canada, US

1001+ employees

B2BAnalyticsSaaS

Company mission

To build software to make data usable in real-time and at scale for search, logging, security, and analytics use cases.

Job

Company

Role

Who you are

Proficiency in Python and Linux shell scripting are required
Familiarity with Linux system-level performance measurement and associated tooling (for example: how to measure and compare CPU and disk I/O performance between cloud provider instance types)
Knowledge of cloud orchestration with Kubernetes
Experience with cloud architectures, service models, and operating across multiple cloud service providers
Ability to assess tradeoffs from both performance and deployment perspectives
Ability to multitask, effectively manage your time, and collaborate with team members globally across time zones

Desirable

Prior experience in the troubleshooting and root cause analysis of performance issues in complex distributed architectures
Experience with performance tuning of Java applications and JVMs
Prior experience with large, distributed search engines and in developing and tuning queries
Prior experience with CI/CD pipelines
Familiarity with the Elasticsearch Query API and building Kibana dashboards is a strong plus

What the job involves

We are seeking a Senior Software Engineer to join our Elasticsearch Performance Engineering team, with a focus on architecting and developing the automated tooling for benchmarking Elasticsearch ingest and search workloads at scale in the cloud
Participate in the design and building of tooling and automated processes for provisioning and execution of Elasticsearch performance benchmarking jobs at scale
Define best practices, methodologies, and guidelines for performance benchmarking of Elasticsearch servicing development teams and solution architects
Develop methodologies and processes for benchmarking Elasticsearch to determine the optimal price-performant instance type selection across Cloud Service providers
Devise solutions for benchmarking disparate use cases and workloads for Elasticsearch stateful and serverless products at scale
Architect solutions for performance benchmarking of evolving and key product features of Elasticsearch
Investigate and assist in resolving performance escalations and capacity planning issues as required

Our take

Elastic develops the Elastic Stack, an open-source set of tools that includes Elasticsearch, Kibana, Beats, and Logstash, designed for data search and analysis. It also offers X-Pack, which adds commercial features to the Elastic Stack, and Elastic Cloud, a suite of SaaS (Software-as-a-Service) products.

This technology is widely used by major companies like eBay, Wikipedia, Yelp, Uber, Lyft, Tinder, and Netflix, along with over 17,000 other organizations. It is applied in various use cases, including application and website search, enterprise search, logging, infrastructure monitoring, application performance management (APM), security analytics (enhancing SIEM applications), and business analytics.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

8% employee growth in 12 months

Glassdoor (3.8)

Company

Funding (last 2 of 4 rounds)

Jul 2016

$58m

SERIES D

Jun 2014

$70m

SERIES C

Total funding: $162m

Company benefits

Toast to your health: Fully paid health coverage for you and your family, in many locations
Craft your calendar: Flexible location and schedule for most roles
Create space for you: Distributed by design workforce, plus generous number of vacation days each year
Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits
Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about
Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent)

Company HQ

Union Square, San Francisco, CA

Leadership

Shay Banon

(Co-Founder & CTO)

Previously held the position of Technology Director at GigaSpaces Technologies.

Simon Willnauer

(Co-Founder)

Previously spent 13 years at The Apache Software Foundation, holding various positions such as VP Apache Lucene and Lucene Core Commiter and PMC Member.

Uri Boness

(Co-Founder)

Previously worked as a Software Architect and Head of Search at Orange11 for 7 years.

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