Site Reliability Engineer, Elastic
Platform Security
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
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- A well-rounded view of and true appreciation for reliability, borne of real-world experience operating production services. You have examples of using software engineering practices and SRE principles to solve operational problems
- A background in software engineering, and can confidently collaborate with engineers to identify and resolve issues. Ideally with experience in public cloud and managed Kubernetes services
- Outstanding interpersonal skills, and are able to build strong relationships with your inclusive communication methods. Examples of working in distributed teams or working remotely is desirable
Desirable
- You don't need to have all of these items, but these represent the types of work you will do as a Site Reliability Engineer at Elastic
- You have operated a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform
- You have built or managed a Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it
- You have written non-trivial programs in Go
- You have worked with containerized services (such as Docker)
- You have experience in system administration with professional skills in Linux on distributed systems at scale
- You have designed, implemented or diagnosed and resolved issues with the Elastic Stack
- You have demonstrable experience in leading and improving alerting and major incident management standard processes metrics systems (e.g. Elastic Stack, Graphite, Prometheus, Influx) to diagnose issues and quantify impacts to share with others at varying level of the organization
- You are experienced in contributing in a self-organizing and collaborative team environment
- You have mentored, coached, and grown team members to bring out the best in them
What the job involves
- As part of the Platform Engineering department, the SRE team is designing, building, scaling and maintaining the multi-cloud platform for hosting internal and external services such as the Elastic Cloud Hosted and Serverless
- This includes developing new software and tools that themselves support the rest of the infrastructure, so that we can rapidly deploy products from all corners of the organization
- We need help in this journey to offer a truly exceptional customer experience
- This is where you come in!
- Lead technical initiatives aimed at improving the reliability of the global Elastic infrastructure, taking an engineering approach to the prevention, detection, and timely mitigation of issues
- Contribute to SRE engineering through auto-remediation and system engineering efforts to continue our efforts in reducing human intervention in automation of processes and operational tasks
- Developing and maintaining software, tooling and automations to support the ever growing scaling demands of this global infrastructure
- Champion an environment focused on collaboration, operational excellence, and uplifting others
- Respond to major incidents, correcting and improving systems to prevent incidents and grow at scale. Participate in a weekly on-call rotation, using a follow-the-sun model
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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