Open search Engineer

Project overview

Open search Engineer:

5+ years of hands-on experience administering Solr and/or OpenSearch in production environments

Strong proficiency in Java and Python, with demonstrated ability to read, debug, and modify existing

application code

Solid understanding of distributed systems concepts: sharding, replication, consistency, cluster

topology

Experience with AWS services (EC2, IAM, VPC, S3, CloudWatch)

Experience managing clusters on at least one third-party/non-AWS cloud provider (e.g., Google Cloud Platform)

Hands-on experience with REST APIs, Query DSL, and index management (ILM/ISM policies)

Practical experience using AI-assisted development tools (Claude, Copilot) to improve engineering

velocity and code quality

Experience with CI/CD tools and Infrastructure-as-Code (Terraform, Ansible, CloudFormation, or

similar)

Familiarity with containerization and orchestration (Docker, Kubernetes)

Strong debugging, troubleshooting, and performance-tuning skills

Experience with monitoring/observability tools (Prometheus, Grafana, CloudWatch, or similar)

Solid understanding of Git-based version control and code review workflows

Job Facts: Contract Corp To Corp | Contract W2 | Travel Required

Skills: Continuous Integration, Java (Programming Language), Problem Solving, Restful APIs, Docker, Git, Kubernetes, Amazon Web Services, Python (Programming Language), Performance Tuning, Infrastructure Management, Amazon Elastic Compute Cloud, Ansible, Containerisation, Distributed Systems, Code Review, Software Version Control, Grafana, Software Quality, Workflows, Software Debugging, Amazon Virtual Private Cloud (VPC), Identity and Access Management, Terraform, Amazon S3, Prometheus, Cloudformation, Cloudwatch, Apache Solr, Automatically Programmed Tool, Claude, Microsoft Copilot, OpenSearch, Shard (Database Architecture)

Reference: Dice Id: 10470974 | Position Id: 2026-78

Project details

• Start: flexible
• Location: TX, US, US