Senior Elastic Engineer

🕒 August 5

🌐 India, Sri Lanka – Remote

🇮🇳 India – Remote 🇱🇰 Sri Lanka – Remote

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jolera

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2001

🤝 B2B

🔒 Cybersecurity

🏢 Enterprise

B2B • Cybersecurity • Enterprise

Jolera is a global systems integrator and managed services provider delivering managed IT, cloud, cybersecurity, application management, infrastructure management, end-user support and IT consulting. Founded in Toronto and operating in 24 countries, Jolera provides 24/7/365 global service desks and network operations, AI and data solutions, and partners as an MSP/ISP/VAR to serve industries such as construction, manufacturing, telco, energy, financial services and media. The company emphasizes secure, scalable, always-on IT operations, process intelligence, and strategic channel partnerships.

📋 Description

• Lead the architecture, design, and continuous improvement of enterprise Elastic environments • Define and enforce best practices for scalability, resilience, lifecycle management, and operational excellence • Support and optimize platform strategy for high availability, retention, performance, and cost efficiency • Lead root cause analysis and resolution of complex platform, pipeline, and data issues • Design and govern ingestion pipelines, data models, and normalization standards aligned to ECS • Build and optimize advanced Logstash and ingest pipelines for high-volume and diverse data sources • Lead large-scale Elastic Agent and Fleet deployments for endpoint and observability use cases • Drive integration of diverse security and observability telemetry sources with high data quality • Design and optimize AWS-backed Elastic infrastructure, including S3, compute, networking, IAM, and related cloud services • Design production-grade CI/CD pipelines • Leverage AWS services for snapshot strategy, retention, archival, and broader platform operations • Monitor and optimize cost drivers across compute, storage, ingestion, and retention • Automate infrastructure provisioning and configuration using infrastructure-as-code • Design advanced Kibana dashboards, detection workflows, observability views, and executive reporting • Partner with detection engineering, infrastructure, and leadership teams to define requirements and roadmap priorities • Identify opportunities to improve detection coverage, platform reliability, and observability maturity • Mentor engineers, review technical designs, and contribute to platform roadmap planning

🎯 Requirements

• Elastic Certified Engineer certification • Elastic Certified Observability Engineer certification • 5+ years of hands-on experience with enterprise Elastic environments • Strong experience with Elastic Security and Elastic Observability • Expert-level knowledge of Elasticsearch architecture, including indexing, sharding, replication, search, and query performance • Expertise in Elasticsearch template optimization and relevance fine-tuning • Proven experience operating large, highly available Elasticsearch clusters in production • Deep expertise in capacity planning, cluster optimization, scaling, and platform hardening • Advanced proficiency in Elasticsearch Query DSL and search optimization • Strong programming and automation skills in Python, Java, Ruby, or similar languages • Proven cybersecurity background with experience in threat detection, attack techniques, telemetry, and defensive operations • Deep knowledge of Elastic security controls, including RBAC, encryption, detection rules, machine learning, and AI Assistant capabilities • Extensive experience with data parsing, enrichment, and transformation using GROK, DISSECT, Logstash, and Elasticsearch ingest pipelines • Experience with advanced detections, Watchers, dashboards, and observability views • Strong experience supporting Elastic deployments in AWS-backed environments • Working knowledge of AWS services, including S3, compute, networking, IAM, monitoring, and cost management • Strong Linux administration skills in distributed data platform environments • Demonstrated ability to lead technical initiatives and communicate effectively across engineering and business stakeholders • Preferred: experience leading platform modernization or migration initiatives • Preferred: experience designing multi-cluster or multi-region Elastic architectures • Preferred: experience building reusable engineering standards, patterns, and operational playbooks • Preferred: experience mentoring engineers in enterprise platform teams

🏖️ Benefits

• Competitive compensation package • Competitive benefits package • Company events, recognitions, and celebrations • Career development and growth opportunities