Elastic Engineer

🕒 July 27

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 38%

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

• You'll design, deploy, and operate scalable Elastic (Elasticsearch, Logstash, Kibana) environments that power cybersecurity analytics, threat hunting, and data-driven detection use cases. • You'll own reliable log ingestion pipelines, optimize cluster performance, and turn technical outcomes into clear insights for both technical and non-technical stakeholders. • Design and operate distributed Elastic clusters, including capacity planning, performance tuning, and scaling strategy • Build and maintain ingestion pipelines aligned to security frameworks and Elastic Common Schema (ECS) • Manage large-scale Elastic Agent and Fleet deployments • Serve as the SME for log ingestion, parsing, normalization, and analysis • Deliver Elastic infrastructure as code (IaC) and automate deployments/configuration where possible • Develop and maintain Logstash pipelines (e.g., Syslog and other structured/unstructured sources) • Integrate multiple data sources and third-party platforms into Elastic with clean, searchable data models • Create automation/scripts to detect anomalies and improve operational workflows • Build dashboards, visualizations, and investigation workflows in Kibana • Continuously improve reliability and efficiency by optimizing pipelines, automating manual work, and enhancing architecture • Support development of network intrusion analytics in collaboration with a broader detection/engineering team • Administer supporting Linux systems for Elastic components and data pipeline services

🎯 Requirements

• Certified Elastic Engineer • Ability to configure, maintain, and troubleshoot multiple Elastic environments at on-premises and Elastic-Cloud. • Experience with Elastic Stack architecture, design, and deployment. • Deep understanding of Elasticsearch internals, including indexing, search, and data aggregation. • Skills in managing enterprise level Elasticsearch clusters, handling cluster health, performance tuning, scaling, and ensuring high availability. • Proficiency in Elasticsearch Query DSL for complex queries, aggregations, and data analytics. • Proficiency in programming languages such as Java, Python, or Ruby. Knowledge of scripting languages for automation is also beneficial. • Proven track record working in cybersecurity, understanding common attack vectors, threat landscapes, and defensive technologies. • Proficiency in implementing security measures within Elasticsearch, such as role-based access control, encryption, index security, and audit logging. • Skills in managing and analyzing logs and security events from various sources (firewalls, IDS/IPS systems, network devices, operating systems) using the ELK stack. • Advanced ability to craft complex queries, alerts, and visualizations tailored for cybersecurity needs, such as detecting anomalies and potential threats. • Proficiency in data parsing using GROK/DISSECT, ingestion, and ETL workflows. • Expertise in developing complex Elasticsearch Watchers. • Experience in Elastic Security, Detection Rules, Machine Learning and AI Assistant. • Proficiency in developing Elasticsearch solutions to specific security needs, such as custom dashboards and reports for ongoing monitoring.

🏖️ Benefits

• Competitive compensation package & benefits package • Company events, recognitions, and celebrations • Career development and growth opportunity.