Principal Site Reliability Engineer, Elastic
Networking, Platform Control Plane
$110.9-210.7k
Salary dependent on location. This role is currently eligible to participate in Elastic's stock program
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
Salary dependent on location. This role is currently eligible to participate in Elastic's stock program
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- Excellent networking skills, with knowledge of protocols such as IP/IPv6, TCP/UDP, BGP, DNS
- Strong technical depth for building and automating networks (Terraform, Ansible) in collaboration with other engineers as an authority in identifying, implementing and delivering solutions
- Good knowledge of public CSP network components (Load balancers, VPC peering/Transit gateways, VPN connectivity, Direct Connects)
- 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 for both today and the future
- 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
- Site-Reliability Engineering experience. We tackle problems with code, but fundamentally we keep things working and have proven success in operational excellence. Responding to and preventing repeated customer impact in response to major incidents and prioritized problem management. Our on call rotation uses a follow-the-sun model where everyone participates in it in (mostly) their working hours
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 designed and/or operated large network topologies that dynamic routing is based on BGP
- You have operated network topologies based on software routers
- You have experience in IP address management (IPAM) and you have used relevant tools for automated IP allocations
- You have designed and/or operated overlay networks with use of encapsulation protocols such as IPSec, GRE and VXLAN
- You have built or operated a Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, with knowledge of the Cilium CNI
- 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 levels of the organization
- You have experience in system and network 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 Network Infrastructure team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless
- We grow and mature our distributed large-scale network infrastructure that spans across multiple cloud service providers to support our cloud services
- We are built on Kubernetes, Go, 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!
- Taking an engineering approach in leading technical initiatives for designing, building and automating network infrastructure and services to guarantee the reliability of the global Elastic network infrastructure. Focusing on Layer 2/3/4 of the TCP/IP stack (Ethernet and/or IP encapsulation, routing, firewalling, load balancing)
- Growing our global Platform network infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations to serve our Network Infrastructure as Code principle
- Collaborating in an environment with an inclusive approach, and focusing on operational excellence which uplifts others
- Preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation is spread well, and we address complex customer concerns too
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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