Software Engineer with OpenSearch/Elasticsearch

Programmers; San Francisco (CA); On-site; USD 160,000 - 190,000; Full time

Job summary

Programmers.io in the SF Bay Area, CA is seeking a Software Engineer with OpenSearch/Elasticsearch to join our onsite team. You will administer production clusters, optimize performance, and work on scalable search architectures while collaborating with cross-functional engineers.

The ideal candidate has 6+ years of hands-on experience with Elasticsearch/OpenSearch/Solr, strong Java and Python, AWS experience (EC2/IAM/VPC/S3/CloudWatch), Terraform/Ansible/CloudFormation, Docker and Kubernetes,

Qualifications

• 6+ years of hands-on experience administering Elasticsearch/OpenSearch/Solr/Lucene in production.
• Strong Java and Python skills.
• AWS experience (EC2, IAM, VPC, S3, CloudWatch).
• Experience with another cloud provider (e.g., GCP).
• Hands-on experience with REST APIs, Query DSL, and index management (ILM/ISM).
• Practical experience using AI-assisted development tools (Claude, Copilot, or similar).
• CI/CD and IaC tools (Terraform, Ansible, CloudFormation).
• Docker and Kubernetes.
• Monitoring/observability tools (Prometheus, Grafana, CloudWatch).
• Strong troubleshooting, performance tuning, and Git workflows.

Skills

Elasticsearch/OpenSearch admin

Java

Python

REST APIs / Query DSL

Troubleshooting

CI/CD practices

Git workflows

AI-assisted tooling

Observability basics

Tools

AWS

Terraform

Ansible

CloudFormation

Docker

Kubernetes

Prometheus

Grafana

Git

Job description

Position: Software Engineer with OpenSearch/Elasticsearch

Location: SF Bay Area, CA(Onsite)

Employment Type: Full-Time

Key Requirements:

• 6+ years of hands-on experience administering Elasticsearch and/or OpenSearch and/or Solr/Lucene in production environments
• Strong Java and Python skills
• AWS experience (EC2, IAM, VPC, S3, CloudWatch)
• Experience with another cloud provider (e.g., GCP)
• Hands-on experience with REST APIs, Query DSL, and index management (ILM/ISM policies)
• Practical experience using AI-assisted development tools (Claude, Copilot, or similar) to improve engineering velocity and code quality
• CI/CD and IaC tools (Terraform, Ansible, CloudFormation)
• Docker and Kubernetes
• Monitoring/observability tools (Prometheus, Grafana, CloudWatch)
• Strong troubleshooting, performance tuning, and Git workflows