Site Reliability Engineer, Elastic
Platform, NEtworking
$110.9-210.7k
+ Stock options. Salary may vary by location.
More information about location
Open source platform powering search, observability, security, and more
Open for applications
Open source platform powering search, observability, security, and more
1001+ employees
Open for applications
$110.9-210.7k
+ Stock options. Salary may vary by location.
More information about location
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems with a SRE perspective
- A background in software engineering to collaborate with engineers to expertly identify, implement and deliver solutions. An experience in public cloud and managed Kubernetes services is advantageous
- Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable
Desirable
- 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 operated a Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it
- You have written non-trivial programs in Golang or other programming languages
- You have worked with containerized services (such as Docker.)
- You have proven 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 present to others at varying level of the organization
- You have experience in system administration with professional skills in Linux on distributed systems at scale
- You have diagnosed or designed, implemented and created solutions with the Elastic Stack
- You are experienced in thriving in a self-organizing and sharing in a globally distributed team environment
- You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring
What the job involves
- As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless
- We grow and mature our distributed network services and solutions for multiple cloud service provider platforms
- We are built on Kubernetes, Go/Scala, and custom orchestration architectures
- In your daily life with us, you will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features
- For example, Debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!
- You'll be taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure
- Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, tooling and automations
- Collaborating in an environment with an inclusive approach, and focusing on operational excellence, and uplifting others
- Responding to and preventing repeated customer impact in response to major incidents and prioritized problem management. Our on call rotation uses follow-the-sun model where everyone participates in it in (mostly) their working hours
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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