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Quess Corp Limited
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Chennai · Hybrid · 4-7 Yrs · 6 days ago
1 open role1 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
We are Hiring | Elastic Search Engineer
Qualifications
- Strong hands-on experience with Elasticsearch and the ELK Stack (Elasticsearch, Logstash, Kibana).
- Experience in cluster administration, performance tuning, and troubleshooting.
- Expertise in data onboarding, Logstash pipelines, and Elasticsearch queries.
- Knowledge of ES|QL, Kibana dashboards, observability, and security analytics.
- Experience with Fleet, Elastic Agents, ILM, and cluster monitoring.
- Exposure to Python, Shell scripting, Ansible, or Terraform is an added advantage.
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Job application FAQ
Last updated 30 October 2026
- How do I apply for Elastic Search Engineer at Quess Corp Limited?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Quess Corp Limited may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Elastic Search Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Elastic Search Engineer remote or on-site in Chennai, Tamil Nadu?
- This listing is marked hybrid with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Elastic Search Engineer role at Quess Corp Limited?
- This is a mid-level Elastic Search Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.