Elastic Observability Engineer L3

Ashnik is looking for a highly skilled L3 Elastic Observability Engineer to join our Technology Solutions Team. This is a senior, hands-on role for engineers who have designed, built, and stabilized Elastic clusters from scratch, handled complex performance issues, and acted as the final technical escalation point. You will manage large-scale production deployments, solve deep performance and architecture issues, and collaborate closely with customers and internal teams to ensure reliability, scalability, and long-term success of Elastic-based observability platforms. This role demands strong technical depth, structured problem-solving, and clear communication.

Qualifications

• 5 to 7 years of hands-on experience working with Elasticsearch in production environments.
• Proven experience managing large and complex Elasticsearch clusters in production.
• Strong hands-on experience with Elasticsearch internals, indexing, and search performance tuning.
• Hands-on experience with shard design, ILM, rollover, and reindexing.
• Experience managing Elasticsearch security, authentication, authorization, and access control.
• Solid experience with Kubernetes, including deployment, scaling, upgrades, and troubleshooting.
• Strong hands-on experience with Linux OS, networking, storage, and system-level troubleshooting.
• Experience handling high-volume ingestion and large datasets.
• Ability to analyse logs, metrics, and traces to diagnose and resolve complex system issues.
• Strong communication skills, with the ability to explain technical issues clearly to customers and internal teams.
• High sense of ownership and accountability for problem resolution.

Responsibilities

• Own and manage large-scale Elasticsearch clusters in production, ensuring high availability, reliability, scalability, and optimal performance.
• Monitor and maintain cluster health, node performance, shard allocation, storage, JVM, memory, and resource utilization, onboarding workloads and deploying APM.
• Performance Troubleshooting: Act as L3 escalation for complex production issues related to: cluster instability, indexing/search performance, JVM, heap, GC, and memory pressure, shard imbalance and hot nodes, query and ingestion bottlenecks. Perform deep root-cause analysis and drive permanent fixes not workarounds. Tune Elasticsearch for high-throughput, low-latency workloads.
• Platform Infrastructure: Work extensively on Linux-based systems for performance tuning, networking, and storage optimization. Deploy and operate Elastic on Kubernetes environments (ECK or custom setups). Integrate Elastic with ingestion pipelines using Logstash, Beats, Elastic Agent, and other data sources. Support deployments across on-prem and cloud platforms (AWS / Azure / GCP).
• Operational Excellence: Define and enforce best practices, standards, and documentation for Elastic deployments. Mentor L1/L2 engineers and review their designs, fixes, and operational decisions. Collaborate with Elastic support and internal product teams on complex cases.
• Communicate clearly with customers on issues, resolutions, and architectural recommendations.

Nice to Have

• Experience with greenfield implementation.
• Exposure to SIEM or security analytics use cases.
• Experience working in customer-facing support or consulting roles.
• Scripting experience in Python / Bash for automation and diagnostics.
• Elastic certifications (or willingness to pursue them).

Job Type: Full time

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