Job Description
A client of Insight Global is eeking a Senior Elastic Engineer to design, build, and operate an enterprise‑grade logging and observability platform. This role will lead the end‑to‑end implementation and ongoing operations of large‑scale ELK / Elastic environments across cloud and containerized platforms, including designing high‑volume, real‑time ingestion pipelines, optimizing Filebeat/Logstash configurations, and developing Elasticsearch data models and index strategies to support analytics and operational insights. The engineer will deploy and manage highly available Elastic clusters on Kubernetes using Elastic Cloud on Kubernetes (ECK), perform capacity planning and performance tuning for medium to large clusters, and establish operational best practices to ensure scalability, resiliency, security, and reliability. You will also support CI/CD automation using GitLab and Harness, work across AWS and GCP (including OpenSearch), and deliver multi‑tenant Kibana dashboards and visualizations for diverse stakeholder groups. This position includes production support responsibilities, including participation in an on‑call rotation for critical Elastic applications in a fast‑paced environment.
This position is fully remote in India and will pay between 17-20 LPA
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
5+ years of hands‑on experience supporting Elasticsearch and/or OpenSearch in production environments, managing medium to large clusters.
Strong experience with on‑prem infrastructure, virtual machines, containers (Docker), and Container‑as‑a‑Service platforms.
Demonstrated experience deploying and managing the ELK Stack to process data from multiple and diverse sources.
Nice to Have Skills & Experience
Strong working knowledge of Logstash plugins, filters, regular expressions, and grok patterns.
Exposure to SQL and query optimization concepts.
Background in Core Java development and UI development.
Experience with Kafka, Redis, or similar buffering/streaming tools.
Solid understanding of security and access management concepts within Elastic environments.
Experience operating Elastic in multi‑cloud or hybrid environments
Observability, monitoring, or SRE background
Experience supporting business analytics use cases on Elasticsearch
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.