Senior Site Reliability Engineer, Elastic
Observability & Analytics, Platform Infra
CA$138.3-185.9k
Open source platform powering search, observability, security, and more
Be an early applicant
Open source platform powering search, observability, security, and more
1001+ employees
Be an early applicant
CA$138.3-185.9k
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
Application process
- Vacancy Status: This is a posting for an existing vacancy. We are actively seeking to fill this position with a qualified candidate
Our take
Organizations are dealing with exploding data volumes increasingly sophisticated cyber threats, and the growing expectation tha ttechnology should help act on problems, not just report them. Ai is moving from experimentation into real operations, especially in security and observability where speed and context are critical. So now, both enterprises and governments are looking for simpler, shared platforms that sale easily and reduce complexity rather than add to it.
And Elastic sits at the intersection of these needs with its Search AI Platform that helps organizations turn large amounts of structured and unstructured data into clear insights and actiontions across search, security, and observability. Elastic's strength lies in its open, flexible approach, which breaks down data silos and provides a context people and AI systems need to make daster, better decisions. The goal is straightforward: help teams see what's happening, understand it quickly, and respond confidently.
Recently, the company worked with CISA to deliver a unified, cloud-based SIEM for US federal agencies, this highlights strong trust in Elastic's security and scalability. Alongside this, its AWS Agentic AI Specialization also reflects leadership in making autonomous AI system practical and reliable. Together, these milestones position Elastic well for the future, as organizations increasingly rely on shared platforms and intelligent systems to manage ris, complexity, and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
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
Ashutosh Kulkarni
(CEO)Ashutosh joined Elastic in 2021 as CPO, becoming CEO in 2022. Prior to this, he was an EVP and CPO of Enterprise at McAfee, a Senior VP and GM of Web Performance and Web Security at Akamai Technologies, and a Senior VP and GM of Informatica Cloud at Informatica.
Shay Banon
(Co-Founder & CTO)Shay co-founded Elastic in 2012 and has served as the CTO since.
Navam Welihinda
(CFO)Prior to joining Elastic in 2025, Navam was the CFO at Grammarly. He also spent nearly 8 years at HashiCorp as VP of Finance and CFO and was the Head of Finance, Compose at IBM for 1 year.
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