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What Elastic Has to Offer: Elastic is the company behind the Elastic Stack - Elasticsearch, Kibana, Beats, and Logstash. From stock quotes to Twitter streams, Apache logs to WordPress blogs, Elastic helps people explore and analyze their data differently using the power of search. Thousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Elastic offers their employees benefits like:
Job Details
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:
The Observability team is developing and providing solutions to application developers and engineers that run infrastructure and services supporting these applications. Elasticsearch is an efficient datastore for logs, metrics, application traces and profiling data. The Observability team builds and maintains solutions that make getting insights from this data turnkey and efficient, such as our APM, Infrastructure Monitoring, Logs and Universal Profiling solutions. When developing these solutions, we think about the problem end-to-end: how do we automatically collect data from common data sources, how do we store it efficiently in Elasticsearch, how do we present this information to the user, what actions do we take on the insights from the data? All of these aspects are important in bringing a turnkey solution to the market.
As a Senior Go Engineer in the Observability Intake Services team, you will be part of a team developing high quality observability products that are essential to the ingest flow of the Elastic Observability solution. The team’s main focus is on building and maintaining backend intake service components for cloud managed and on-prem deployments, and owning operational stability through extensive monitoring and SLOs. We have a focus on quality, performance, reliability, security and testability, as well as automation and continuous improvements.
We build components and services that receive and validate signals from various edge collectors, such as Elastic APM, OpenTelemetry SDKs, as well as profiling agents, and transform them into Elasticsearch documents. The intake service components control the amount of data flowing into Elasticsearch and can buffer data temporarily without adding overhead to the edge applications.
We appreciate community contributions, and as such, engaging with the open source community is also an important part of this role.
You’ll be collaborating with immediate team colleagues and across team boundaries. The team is diverse and distributed across the world, and collaborates on a daily basis over GitHub, Zoom, and Slack.
What You Will Be Doing:
- Lead technical designs and implementation for the observability intake services in Go
- Be a hands-on contributor to the team’s services
- Maintain, update and improve existing code and dependencies while ensuring automated test coverage.
- Create and improve the development infrastructure using modern tooling such as Tilt and Terraform.
- Build a strong backend solution for the OpenTelemetry data flow.
- Design data formats for optimized data storage and query performance in Elasticsearch.
- Provide Pull Request reviews and strong technical guidance to your peers.
- Build SLIs and SLOs and participate in an on-call rotation for the services in the team’s ownership.
- Proactively participate in team conversations and contribute to a positive team culture.
- Collaborate with other parts of the company on cross team features and topics.
- Collaborate with the support team on customer requests, and engage with the community via pull requests, issues and discuss forums.
What You Bring:
- A positive attitude and a curious mindset.
- Expert level knowledge of Go, including advanced topics such as memory management, benchmarking and profiling.
- Strong knowledge in systems design.
- Strong analytical, debugging, and troubleshooting skills.
- Experience developing high throughput, low latency services.
- Hands-on experience with Docker and Kubernetes.
- Ability to work independently in a globally distributed team
- Willingness and ability to share knowledge with others and enable your peers.
Bonus Points:
- Experience and knowledge in the observability space, including OpenTelemetry
- Experience working with stream processing platforms such as Apache Kafka or cloud provider managed queues.
- Understanding how to design and implement SLOs
- Experience working with various cloud service providers
- Knowledge of Elasticsearch and/or Kibana.
- Experience participating in technical decision-making across different engineering teams.
- Experience in service operations
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 a minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. 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 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) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes technology and information that is subject to U.S. and other country 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). 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 for our Privacy Statement.
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. 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:
$133,100—$210,600 USD
The typical starting salary range for this role in the select locations listed above is:
$159,900—$252,900 USD
Job Code
#LI-NG1