Job Description Insight Global is hiring an Elastic Search Engineer for one of our large consulting clients. This role will sit remotely in India. Elastic Platform Engineering -Design, implement, and maintain Elasticsearch SaaS clusters, indexes, pipelines, snapshots, and supporting infrastructure. -Build and maintain custom and out‑of‑box connectors for ingestion. -Manage multi‑environment setups (dev, QA, stage, prod) including deployments, version upgrades, and release governance. -Implement and operate CI/CD pipelines for Elasticsearch resources (index templates, ingestion pipelines, connectors, transforms, etc.). Search Enablement & Optimization -Perform relevancy tuning for lexical and semantic search (BM25, hybrid retrieval, embeddings, vector search). -Conduct performance benchmarking, load testing, and adjust shard strategy, routing, and indexing throughput. -Work closely with feature teams to design optimal retrieval workflows (RAG, vector similarity, query rewriting, synonyms, re‑rankers). Operational Ownership -Monitor clusters (latency, heap usage, GC patterns, indexing/backpressure), manage alerts, and drive root‑cause analysis. -Respond to platform issues across time zones; communicate findings, timelines, and resolutions clearly to stakeholders. -Ensure adherence to platform standards, IaC, release versioning, and audit/compliance requirements. Cross‑Team Collaboration -Partner with Product Owners, architecture, backend, QA, and data teams across global time zones. -Provide platform guidance, best practices, and onboarding support to application teams using search. -Track progress, share updates, and proactively highlight risks and dependencies. Additional Context -Team operates across multiple global time zones; role requires overlap with US East Coast. -Work involves both platform engineering and search‑quality ownership. -Strong communication, ownership mindset, and ability to work independently within a distributed environment is essential. Compensation: $20.00/hr to $22.00/hr. Exact compensation may vary based on several factors, including skills, experience, and education. 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/. Skills and Requirements -6+ years Elasticsearch development & support, preferably Elastic Cloud/SaaS. --Custom & OOTB connectors --Customized ingestion pipelines --Index template creation & lifecycle management --Relevancy tuning & search performance optimization -4–6 years of AWS experience, including IAM, networking, EKS/EC2, S3, Lambda/SQS, or cloud‑native integration patterns. -Strong experience operating multi‑environment releases and CI/CD workflows (GitHub Actions, GitLab, Bitbucket, Jenkins, Azure DevOps, etc.). -Ability to coordinate across multiple squads, raise blockers, provide status updates, and work across US–India time zones. -3–4 years of Python development --Data ingestion, ETL, automation scripts --Search‑related tooling (vectorization, embeddings, data prep) -3–4 years of Java API development --Backend services integrating Elasticsearch -Experience with vector databases, semantic search, hybrid retrieval, embedding pipelines, or RAG workflows. -Familiarity with DevOps tooling, observability stacks, and IaC (Terraform). -Prior experience working in distributed global teams or GenAI‑adjacent search platforms.