Elastic Observability - Intake Services Senior Go Engineer 

United States 

401324938

• 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.

• 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.

• 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

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

Applicants have rights under Federal Employment Laws; view posters linked below: Poster; Poster; Poster and (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

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

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.

The typical starting salary range for this role is:

$133,100—$210,600 USD

$159,900—$252,900 USD