Software Engineer II - Builder Experience - Platform Engineering Productivity

referralsuseonly; United States; On-site; USD 111,000 - 176,000; Full time

Job summary

Elastic, the Search AI Company, seeks a curious, mid-to-senior Software Engineer to join our Platform Engineering Productivity team. You will strengthen CI infrastructure, tooling, and release processes that enable scalable artifact generation across build-test-pack-release lifecycles.

You bring expertise in Python, Go, Bash, Java, or Scala, with solid SDLC knowledge and modern cloud tech (Terraform, Kubernetes, Docker). Strong Git and AI-assisted tooling experience are highly valued.

Qualifications

• Experience building CI infrastructure and pipelines.
• Strong understanding of the software development lifecycle (build, test, release).
• Experience with release engineering and quality strategies.

Responsibilities

• Ensuring CI infrastructure is reliable, scalable, and efficient.
• Managing systems and processes for building releasable artifacts.
• Creating and maintaining ef other lines...
• Defining and enforcing release gates based on key quality criteria.
• Building tools and infrastructure that support product deployment and release.
• Improving the overall developer workflow across build, test, package, and release stages.
• Partnering with teams across the organization to solve productivity and release engineering challenges.

Skills

Python

Go

Bash

Java

Scala

CI/CD

Kubernetes

Terraform

Docker

Git

Tools

Terraform

Kubernetes

Docker

Git

Job description

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

We are looking for a curious, mid-to-senior Software Engineer who embraces AI as part of their engineering craft to join our Platform Engineering Productivity team.

What You Will Be Doing

• Ensuring CI infrastructure is reliable, scalable, and efficient.
• Managing systems and processes for building releasable artifacts.
• Creating and maintaining ef other lines...
• Defining and enforcing release gates based on key quality criteria.
• Building tools and infrastructure that support product deployment and release.
• Improving the overall developer workflow across build, test, package, and release stages.
• Partnering with teams across the organization to solve productivity and release engineering challenges.

What You Bring

• Solid experience in one or more programming languages such as Python, Go, Bash, Java, or Scala.
• Deep understanding of the software development lifecycle, including building, packaging, testing, and releasing software.
• Experience with modern development environments is essential. Proficiency in cloud and infrastructure technologies such as Terraform, Kubernetes, and Docker, along with a solid understanding of cloud platforms and configuration management tools.
• Proficiency with CICD and version control systems, especially GIT.
• Experience executing or contributing to release engineering and quality strategies.
• Experience using AI-assisted tools to accelerate development, troubleshoot systems, and improve code quality while maintaining ownership of outcomes.
• Ability to move effectively across projects, codebases, and teams as priorities evolve.
• Ability to work autonomously in a distributed team using direct, transparent, and asynchronous communication and comfort in navigating ambiguity.
• Excellent written and verbal technical communication skills.
• High standards for design, quality, and the features you ship. A track record of contributing to improvements in engineering practices such as code review processes and standards.
• Is eligible to work in Department of Defense (DoD) Impact Level 4 or above cloud service environments.

Compensation

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is: $110,900 - $175,500 USD

The typical starting salary range for this role in the select locations listed above is: $133,200 - $210,700 USD