Senior Systems Developer, Elastic
CA$101.9-161.2k
Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program
Open source platform powering search, observability, security, and more
Job no longer available
Open source platform powering search, observability, security, and more
1001+ employees
Job no longer available
CA$101.9-161.2k
Therefore, in addition to cash compensation, 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
- Software engineering background to collaborate with engineers on solutions. Public cloud and managed Kubernetes experience is a plus
- Passion for developing solutions with inclusive communication methods. Experience in distributed or remote teams is desirable
- Proven experience in IT systems engineering, infrastructure management, or related fields
- Strong knowledge of cloud platforms (e.g., AWS, Azure, GCP) and on-premise infrastructure
- Experience with automation tools and scripting (e.g., Python, Bash, PowerShell, Ansible, GitHub Actions, RunDeck)
- Experience with a range of tools, including productivity platforms such as Zoom, GitHub, LastPass, Slack, G-Suite, Confluence, and JIRA; GenAI solutions like Gemini AI, Azure OpenAI, Claude AI, CoPilot, Cursor, and WindSurf; as well as secret management systems including HashiCorp Vault, GitHub Secrets, Google Secrets, and AWS Secrets
- Integration/Architecture experience with ElasticSearch, DataDog, Splunk, or similar platforms
- Familiarity with Kubernetes and Infrastructure as Code (IaC) principles
- Understanding of Virtual Private Networks (VPN) and Zero Trust security models
- Knowledge of X.509 certificate standards, certificate chains, and secure key management
- Hands-on experience with monitoring and observability tools, ideally the Elastic Stack (Elasticsearch, Kibana, Beats, Logstash)
- Experience configuring and handling alerting and incident response workflows using tools like PagerDuty
- Ability to create and maintain custom dashboards and alert rules tailored to business and technical requirements
- Familiarity with standard methodologies for monitoring distributed systems, cloud environments, and containerized workloads (e.g., Kubernetes)
- Advanced experience with Linux and Windows environments
- Knowledge of data centre operations and standard methodologies
- Strong communication and collaboration abilities
- Commitment to security, compliance, and operational excellence
Desirable
- These represent the types of work you will do as a Site Reliability Engineer at Elastic IT; you don't need to have all of them
- Previous experience in a distributed, remote-first company
- Building or operating Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and supporting automation
- Writing non-trivial programs in Golang or other programming languages
- Working with containerized services (e.g., Docker)
- Proven experience in leading and improving alerting and major incident management systems (e.g., Elastic Stack, Graphite, Prometheus, Influx) to diagnose issues and quantify impacts
- Experience in system administration with professional skills in Linux on distributed systems at scale
- Diagnosing or designing, implementing, and creating solutions with the Elastic Stack
- Thriving in self-organizing and sharing in a globally distributed team environment
- Strengthening team members by uplifting others with coaching and mentoring
What the job involves
- As a Sr. Systems Engineer at Elastic, you will design, deploy, and maintain our cloud infrastructure, with a focus on automation, reliability, and security. This includes developing and maintaining code for internal company needs. You will collaborate with multi-functional teams to ensure our technology environment is robust, scalable, and aligned with business objectives
- Architect, deploy, and maintain cloud infrastructure (network, server, storage)
- Develop and maintain automation for user lifecycle management (provisioning/de-provisioning)
- Resolve complex technical issues related to infrastructure and end-user devices
- Oversee the full lifecycle of SSL/TLS certificates, including procurement, installation, renewal, and revocation across all environments, and automate these processes
- Build, maintain, and optimize monitoring solutions for infrastructure, applications, and services, with a strong preference for experience using the Elastic Stack
- Develop and manage dashboards, alerts, and visualizations in Kibana to provide actionable insights and real-time access to system health and performance
- Implement and refine alerting workflows, ensuring timely and accurate notifications for critical incidents
- Integrate monitoring platforms with incident management tools such as PagerDuty to automate issue and on-call processes
- Collaborate with engineering and operations teams to define Service Level Objectives (SLOs) and continuously improve observability practices
- Participate in incident response, including triage, critical issue, and post-incident analysis, using monitoring and alerting data to drive root cause analysis and remediation
- Collaborate with internal partners to gather requirements and deliver solutions
- Document processes, configurations, and solutions
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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