Software Engineering Lead Analyst - HIH hyderabad

Overview

Software Engineering Lead Analyst on Evernorth's Data and Analytics team, owning administration and observability of a production self-hosted Elastic Stack and delivering innovative solutions in an agile environment.

What you'll do

• Administer and support a production self-hosted Elastic Stack environment, including Elasticsearch, Kibana, Logstash, Elastic Agents, and supporting platform components.
• Perform cluster health monitoring, troubleshooting, capacity planning, and performance optimization.
• Configure and maintain Index Lifecycle Management (ILM), retention policies, shard allocation strategies, and storage management.
• Execute platform upgrades, patching activities, and lifecycle management.
• Implement and maintain backup, recovery, and disaster recovery procedures.
• Design and implement telemetry collection solutions for applications, databases, and infrastructure platforms.
• Integrate operational data from Apache Airflow, PostgreSQL, Linux servers, APIs and services, on-premises infrastructure, and future hybrid cloud platforms.
• Develop and maintain custom ingestion pipelines using Logstash, Elastic Agents, Beats, and OpenTelemetry collectors.
• Ensure reliable collection and delivery of logs, metrics, and traces.
• Create operational dashboards, alerts, and monitoring solutions within Kibana.
• Develop automated alerting capabilities for application, infrastructure, and platform health monitoring.
• Configure anomaly detection jobs and rule-based alerting to proactively identify issues.
• Collaborate with application teams to define meaningful operational metrics and alert thresholds.
• Continually improve observability coverage across supported platforms.
• Configure and maintain Elastic APM instrumentation across supported applications.
• Monitor application performance, latency, throughput, and error rates.
• Analyze distributed traces to identify bottlenecks and performance concerns.
• Develop Kibana dashboards that provide actionable performance insights for engineering teams.
• Support adoption of OpenTelemetry standards and best practices.
• Optimize Elasticsearch cluster performance and resource utilization.
• Monitor index growth, storage consumption, and ingestion rates.
• Support infrastructure hosting Elastic clusters, including servers, storage, and platform resources.
• Evaluate opportunities to improve operational efficiency and reduce platform costs.
• Assist with future migrations and integrations supporting hybrid deployment models.

What you'll need

• 5-8 years of experience in Platform Engineering, Observability Engineering, Infrastructure Engineering, Site Reliability Engineering, or related fields.
• 4+ years of hands-on experience administering production Elastic Stack environments.
• Experience supporting self-hosted Elasticsearch clusters.
• Experience managing Elasticsearch, Kibana, Logstash, Elastic Agents, and Beats.
• Experience building custom log and telemetry ingestion pipelines.
• Experience implementing monitoring, alerting, and anomaly detection solutions.
• Experience with Linux administration.
• Experience working with REST APIs and telemetry integrations.
• Experience with Python, Bash, or similar scripting languages.
• Required skills: Python, Elasticsearch, Kibana, Elastic Agents and APM, OpenTelemetry, Distributed Tracing, Metrics Collection, Log Analytics, Alerting and Monitoring.

Nice to have

• Experience implementing Elastic APM solutions.
• Experience with OpenTelemetry.
• Experience collecting observability data from Airflow, PostgreSQL, and distributed applications.
• Experience supporting hybrid cloud environments.
• Familiarity with AWS services and cloud observability practices.
• Experience with Docker or Kubernetes environments.
• Knowledge of infrastructure monitoring and capacity planning.
• Elastic Certified Observability Engineer certification is a plus.

Details

• Location: Hyderabad, India.