EITAcies, Inc.
EITAcies, Inc.

Search Engineer

Austin, TX, US • Posted 1 day ago • Updated 4 hours ago
Full Time
Part Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Linux
  • Apache Solr
  • Replication
  • Amazon EC2
  • Virtual Private Cloud
  • Amazon S3
  • Amazon Web Services
  • Cloud Computing
  • Google Cloud
  • Google Cloud Platform
  • DSL
  • Management
  • Information Lifecycle Management
  • Infrastructure Lifecycle Management
  • ISM
  • Continuous Integration
  • Continuous Delivery
  • Terraform
  • Ansible
  • Docker
  • Kubernetes
  • Grafana
  • Debugging
  • Performance Tuning
  • Git
  • Version Control
  • Code Review
  • Workflow
  • Artificial Intelligence
  • GitHub
  • Productivity
  • Production Support
  • Java
  • Python

Summary

Job Title: Search Engineer

Location: Austin, TX (Onsite)

Experience: 5-10 years

We are looking for an experienced Search Engineer with strong hands-on experience in Apache Solr, OpenSearch, Java, Python, AWS, and Linux. The candidate should have experience managing search clusters in production, troubleshooting performance issues, and working with distributed systems.

Required Skills:

  • 4+ years of hands-on experience administering Apache Solr and/or OpenSearch in production environments.

  • 5-10 years of experience with Java, Python, Linux, and AWS.

  • 2-5 years of experience with Apache Solr and OpenSearch.

  • Strong understanding of distributed systems, including sharding, replication, consistency, and cluster topology.

  • Experience with AWS services such as EC2, IAM, VPC, S3, and CloudWatch.

  • Experience managing clusters on at least one non-AWS cloud platform, such as Google Cloud Platform.

  • Hands-on experience with REST APIs, Query DSL, and index management, including ILM/ISM policies.

  • Experience with CI/CD pipelines and Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation.

  • Familiarity with Docker and Kubernetes.

  • Experience with monitoring and observability tools such as Prometheus, Grafana, and CloudWatch.

  • Strong debugging, troubleshooting, and performance-tuning skills.

  • Good understanding of Git-based version control and code review workflows.

  • Practical experience using AI-assisted development tools such as Claude or GitHub Copilot to improve code quality and engineering productivity.


Candidates should have strong production support and cluster administration experience, along with solid coding skills in Java and Python. -

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10371948
  • Position Id: EIT - 6760-7033-1792517203
  • Posted 1 day ago
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