Elastic Search Database Engineer (Remote - India)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Elastic Search Database Engineer in India.

We are seeking a highly experienced Elastic Search Database Engineer to architect, deploy, and maintain scalable Elasticsearch clusters across cloud and on-premises environments. This role will play a key part in optimizing indexing, query performance, and cluster reliability, while implementing monitoring, alerting, and automation practices. You will collaborate closely with DevOps and backend teams to integrate Elasticsearch into larger systems, develop infrastructure-as-code solutions, and troubleshoot complex production issues. The role emphasizes proactive performance optimization, cloud expertise, and automation using tools like Terraform, Ansible, and Python. This is an opportunity to work in a dynamic, innovative environment, contributing directly to database stability and operational efficiency at scale.

Accountabilities

• Architect, deploy, and maintain large-scale Elasticsearch clusters in production environments.
• Optimize indexing, querying, and cluster performance for high-throughput workloads.
• Implement observability and monitoring dashboards using Prometheus, Grafana, or ELK stack.
• Automate infrastructure provisioning and configuration using Terraform and Ansible.
• Collaborate with DevOps, backend, and cloud teams to integrate Elasticsearch into broader systems.
• Troubleshoot complex issues across cloud, network, and application layers.
• Document best practices, runbooks, and performance benchmarks.
• Participate in on-call rotations to ensure 24/7 coverage for critical database systems.

Requirements

• 8+ years of hands-on experience managing Elasticsearch in production environments.
• Deep understanding of Elasticsearch internals: shards, replicas, mappings, analyzers, and snapshot lifecycle policies.
• Strong proficiency in Python or Bash scripting for automation.
• Proven experience with infrastructure-as-code using Terraform and configuration management tools like Ansible.
• Cloud expertise in Google Cloud Platform (GCP), Amazon Web Services (AWS), or Azure.
• Experience with monitoring, alerting, and logging frameworks.
• Strong problem-solving and collaboration skills across cross-functional teams.
• Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience).

Benefits

• Remote work from India.
• Exposure to large-scale Elasticsearch deployments and cloud infrastructure.
• Opportunity to work with modern DevOps practices and automation tools.
• Professional growth and learning in high-throughput database environments.
• Competitive compensation and benefits package, including insurance coverage and paid time off.

Our Hiring Process

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!