Senior Site Reliability Engineer (Observability & Analytics) – Platform Infra

Engg; Canada; On-site; CAD 138,000 - 186,000; Full time

Benefits offered by this job

Health coverage

Flexible locations and schedules

Generous vacation days

Stock program

Job summary

Elastic, the Search AI Company, is seeking a Platform/ SRE engineer to own end‑to‑end delivery of complex projects and operate Elastic Cloud infrastructure as code. You will review production changes, mentor teammates, and continuously improve runbooks and docs to reduce on‑call load.

The role emphasizes security‑aware design, cross‑timezone collaboration, and delivering reliable, scalable systems in a distributed team.

Qualifications

• 5+ years in SRE, platform or infrastructure engineering with ownership of complex projects.
• Proficient in Terraform; able to manage large multi‑workspace configurations.
• Strong Python skills; Go knowledge is a plus; Linux system expertise.
• Experience running containerized workloads in production and on‑call rotation.

Responsibilities

• Own end‑to‑end delivery of moderate‑to‑high complexity projects on the roadmap.
• Operate and harden Elastic Cloud infrastructure as Code (Terraform, Python, Go).
• Participate in 24/7 on‑call incidents and perform RCAs to prevent repeats.
• Review code/designs and provide a trusted second set of eyes for production changes.
• Mentor less experienced engineers and raise risks or improvements in discussions.
• Improve runbooks and operational docs to lighten on‑call load over time.

Skills

SRE experience

Terraform

Python

Linux

On-call rotation

Code review

Security mindset

Mentoring

Communication

Time zone collaboration

Tools

Terraform

Kubernetes

ArgoCD

Helm

Vault

Teleport

Puppet

Ansible

Job description

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 Platform Observability & Analytics runs the infrastructure that tells Elastic the truth about its own platform. The observability clusters show Cloud engineers how production is behaving right now, and the analytics pipelines show the business how the platform and the products get used over time. This role sits on the observability side. We run 200+ hosted deployments across every supported cloud region, ingesting logs, metrics and traces for all of Elastic Cloud, plus the SLA and SLO monitoring for ESS and Serverless. When Cloud engineering needs to know what production is doing, they're looking at something we run.

What You Will Be Doing

• Owning end‑to‑end delivery of moderate‑to‑high complexity projects on the team’s roadmap , with minimal day‑to‑day direction.
• Operating and hardening shared Elastic Cloud infrastructure (ECH, ECE, and ECK) as Infrastructure as Code – writing and reviewing the Terraform, Python, and Go that other engineers depend on.
• Carrying a 24/7 on‑call rotation: responding to incidents, driving them to resolution, and writing clear RCAs/postmortems that lead to lasting fixes rather than repeat pages.
• Reviewing others’ code and designs, and being a trusted second set of eyes on production changes to critical infrastructure.
• Mentoring less experienced engineers, and proactively raising risks, ideas, and improvements in team discussions.
• Improving runbooks, documentation, and operational processes so the on‑call load gets lighter over time.

What You Bring

• 5+ years of SRE, platform engineering, or infrastructure engineering experience
• Proficiency with Terraform; comfortable owning large, multi‑workspace configurations in a team setting
• Strong software engineering fundamentals in Python; comfort with Go is a plus
• Deep Linux systems knowledge and experience operating containerized workloads in production
• Experience carrying a 24/7 on‑call rotation, resolving incidents under pressure , and writing RCAs that hold up under review
• A track record of consistently delivering end‑to‑end projects of moderate‑to‑high complexity with minimal oversight, and being a valuable code/design reviewer for your team
• Comfort thinking about the security implications of the infrastructure you build, not just its reliability – you don’t need to be a security specialist, but you default to a security‑conscious mindset
• A pattern of mentoring less experienced engineers and speaking up with ideas and concerns in team discussions
• Clear written and verbal communication – you document what you build and can explain it to both engineers and non‑engineers
• Comfort working across time zones, in both real‑time and asynchronous contexts

Bonus Points

• Experience with the Elastic Stack (Elasticsearch, Logstash, Beats, Kibana) in production
• Experience with GitOps‑style deployment tooling (ArgoCD, Helm) or policy‑as‑code frameworks (e.g., Kyverno) on Kubernetes
• Experience with secrets management (Vault) or access‑control/bastion tooling (Teleport)
• Experience with configuration management tools (e.g., Puppet, Ansible) at fleet scale
• Exposure to FedRAMP, GovCloud, or other regulated/compliance‑driven infrastructure

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.

The typical starting salary range for this role is: $138,300 - $185,900 CAD

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.

Benefits

• 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 dona
• In addition to cash compensation, this role is currently eligible to participate in Elastic's stock program
• company‑matched Registered Retirement Savings Plan (RRSP) with dollar‑for‑dollar matching up to 6% of eligible earnings