Technology Application Development - Observability Manager:

- Optimize system performance and troubleshoot indexing and search-related issues.

- Develop and maintain Logstash pipelines for telemetry and log ingestion.

- Build dashboards, visualisations, alerts and monitoring workflows using Kibana.

Observability & Application Performance Monitoring:

- Implement and manage end-to-end observability solutions covering logs, metrics and traces.

- Enable application performance monitoring (APM) across Java, .NET and Python applications.

- Implement distributed tracing and application instrumentation using OpenTelemetry.

- Integrate application telemetry with the centralised observability platform.

- Drive migration from legacy monitoring solutions to modern Elastic/Kibana-based observability architecture.

Platform Engineering & Automation:

- Build and maintain scalable, highly available telemetry pipelines.

- Manage integrations using Kafka Connect, Logstash, Beats and Elastic Agent.

- Automate platform deployment, configuration and operational activities using Terraform and scripting tools.

- Work closely with application, infrastructure and DevOps teams to onboard applications onto the observability platform.

- Establish best practices for platform reliability, performance, security and operational efficiency.

Required Skills & Experience:

- 6 - 10 years of relevant experience in Observability Engineering, Platform Engineering, DevOps or Site Reliability Engineering.

- Strong hands-on experience in Apache Kafka or Confluent Kafka administration.

- Strong experience with the Elastic Stack: Elasticsearch, Logstash and Kibana.

- Experience in Kafka Connect, telemetry ingestion and pipeline management.

- Knowledge of Elastic APM, OpenTelemetry and distributed tracing.

- Experience with logs, metrics, application monitoring and alerting frameworks.

- Good understanding of Linux environments, troubleshooting and performance optimisation.

- Exposure to automation and Infrastructure as Code tools such as Terraform.

Preferred Qualifications:

- B.E./B.Tech in Computer Science, Information Technology or a related engineering discipline, or MCA.

- Relevant certifications in Kafka, Elastic Stack, Cloud or DevOps technologies will be an advantage.

Ideal Candidate Profile:

- The ideal candidate will have hands-on experience in managing and engineering observability platforms rather than merely using monitoring tools for application support. Strong expertise in both Kafka platform administration and Elastic Stack administration is essential.