Platform Engineer - Kubernetes
AI in this role
Develop and maintain cloud application hosting infrastructure on Kubernetes in an AI-forward company context.
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What is The Role
The role will be tasked with developing and maintaining our Application Hosting Infrastructure on Kubernetes in GCP. As a Platform Engineer, you will play a critical role in developing and maintaining our core application infrastructure that supports our business operations. You’ll be part of a small, focused team that prioritizes automation and security while engineering a robust platform for hosting internal applications. This position offers the chance to work with the latest technologies in an AI-forward environment, allowing you to contribute to impactful projects that drive our growth.
What You Will Be Doing
- Design scalable infrastructure solutions that meet the demands of our core applications. Implement infrastructure as code practices to automate and streamline processes. Monitor system performance, optimize resources, and integrate cloud services while troubleshooting and resolving any infrastructure issues that arise.
- Implement CI/CD pipelines to streamline the software development lifecycle. Design and develop scalable build systems to ensure applications are delivered quickly and proficiently, matching the pace of business needs.
- Ensure compliance with security regulations and best practices to protect application infrastructure. Collaborate with Infosec and other engineering teams to implement effective incident response and CVE remediation processes.
- Collaborate with cross-functional teams to gather requirements for platform improvements. Provide technical support and guidance to internal users of the platform. Facilitate knowledge sharing sessions to educate team members on platform features and best practices.
- Analyze cloud spending patterns to ensure cost optimization and implement financial governance policies for cloud resources. Identify opportunities for cost savings while enhancing operational efficiency. Regularly assess application usage to eliminate unused resources and maintain a proficient environment.
What You Bring
- Bachelor's degree in Computer Science or equivalent experience
- 5+ years with infrastructure as code tools like Terraform or Crossplane
- 5+ years with cloud service providers like AWS, Azure, or Google Cloud
- Kubernetes and Cloud Native Associate or equivalent certification
- Knowledge of service mesh architectures such as Istio or Linkerd
- Hands-on experience with cloud security practices and tools
- Experience with cost management tools for cloud infrastructure
- Led cross-functional initiatives that improved platform usability and performance based on user feedback
- Experience with Elasticsearch is a plus
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
Please see here for our Privacy Statement.
How we rate this
Platform Engineer - Kubernetes at Elastic rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where platform engineering was part of your work. What did you do?
- Tell me about a project where infrastructure as code was part of your work. What did you do?
- Tell me about a project where ci cd was part of your work. What did you do?
- Tell me about a project where cloud security was part of your work. What did you do?
- Walk me through how you've used Kubernetes in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Platform Engineering, Infrastructure As Code, Ci Cd, Cloud Security, and Kubernetes. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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