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.
As a Sr. Systems Engineer at Elastic, you will design, deploy, and maintain our cloud infrastructure, with a focus on automation, reliability, and security. This includes developing and maintaining code for internal company needs. You will collaborate with multi-functional teams to ensure our technology environment is robust, scalable, and aligned with business objectives.
What You Will Be Doing- Architect, deploy, and maintain cloud infrastructure (network, server, storage).
- Develop and maintain automation for user lifecycle management (provisioning/de-provisioning).
- Resolve complex technical issues related to infrastructure and end-user devices.
- Oversee the full lifecycle of SSL/TLS certificates, including procurement, installation, renewal, and revocation across all environments, and automate these processes.
- Build, maintain, and optimize monitoring solutions for infrastructure, applications, and services, with a strong preference for experience using the Elastic Stack.
- Develop and manage dashboards, alerts, and visualizations in Kibana to provide actionable insights and real-time access to system health and performance.
- Implement and refine alerting workflows, ensuring timely and accurate notifications for critical incidents.
- Integrate monitoring platforms with incident management tools such as PagerDuty to automate issue and on-call processes.
- Collaborate with engineering and operations teams to define Service Level Objectives (SLOs) and continuously improve observability practices.
- Participate in incident response, including triage, critical issue, and post-incident analysis, using monitoring and alerting data to drive root cause analysis and remediation.
- Collaborate with internal partners to gather requirements and deliver solutions.
- Document processes, configurations, and solutions.
- Software engineering background to collaborate with engineers on solutions. Public cloud and managed Kubernetes experience is a plus.
- Passion for developing solutions with inclusive communication methods. Experience in distributed or remote teams is desirable.
- Proven experience in IT systems engineering, infrastructure management, or related fields.
- Strong knowledge of cloud platforms (e.g., AWS, Azure, GCP) and on-premise infrastructure.
- Experience with automation tools and scripting (e.g., Python, Bash, PowerShell, Ansible, GitHub Actions, RunDeck).
- Experience with a range of tools, including productivity platforms such as Zoom, GitHub, LastPass, Slack, G-Suite, Confluence, and JIRA; GenAI solutions like Gemini AI, Azure OpenAI, Claude AI, CoPilot, Cursor, and WindSurf; as well as secret management systems including HashiCorp Vault, GitHub Secrets, Google Secrets, and AWS Secrets.
- Integration/Architecture experience with ElasticSearch, DataDog, Splunk, or similar platforms.
- Familiarity with Kubernetes and Infrastructure as Code (IaC) principles.
- Understanding of Virtual Private Networks (VPN) and Zero Trust security models.
- Knowledge of X.509 certificate standards, certificate chains, and secure key management.
- Hands-on experience with monitoring and observability tools, ideally the Elastic Stack (Elasticsearch, Kibana, Beats, Logstash).
- Experience configuring and handling alerting and incident response workflows using tools like PagerDuty.
- Ability to create and maintain custom dashboards and alert rules tailored to business and technical requirements.
- Familiarity with standard methodologies for monitoring distributed systems, cloud environments, and containerized workloads (e.g., Kubernetes).
- Advanced experience with Linux and Windows environments.
- Knowledge of data centre operations and standard methodologies.
- Strong communication and collaboration abilities.
- Commitment to security, compliance, and operational excellence.
These represent the types of work you will do as a Site Reliability Engineer at Elastic IT; you don't need to have all of them.
- Previous experience in a distributed, remote-first company.
- Building or operating Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and supporting automation.
- Writing non-trivial programs in Golang or other programming languages.
- Working with containerized services (e.g., Docker).
- Proven experience in leading and improving alerting and major incident management systems (e.g., Elastic Stack, Graphite, Prometheus, Influx) to diagnose issues and quantify impacts.
- Experience in system administration with professional skills in Linux on distributed systems at scale.
- Diagnosing or designing, implementing, and creating solutions with the Elastic Stack.
- Thriving in self-organizing and sharing in a globally distributed team environment.
- Strengthening team members by uplifting others with coaching and mentoring.
#LI-JM5
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.
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 Registered Retirement Savings Plan (RRSP) 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.
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 minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. 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 [email protected]. 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 encryption software and technology that is subject to U.S. 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.
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Elastic Vancouver, British Columbia, CAN Office
333 Seymour St, , , Vancouver, British Columbia, Canada, V6B 5A6,
