Observability Platform Engineer (Java/Python)

Swift; Kuala Lumpur; On-site; MYR 110,000 - 180,000; Full time

Job summary

Swift, the world’s leading provider of secure financial messaging services, seeks an Observability Software Engineer to design, develop and scale our observability platform. You will onboard application logs onto the Elastic Stack, build log parsers and pipelines, and deliver Kibana dashboards that provide meaningful insights to engineering teams.

You will contribute Java and Python tooling, participate in CI/CD development, and apply infrastructure-as-code practices with Docker and Kubernetes

Qualifications

• Strong software development skills in Java or Python.
• Familiarity with DevOps CI/CD tooling such as CloudBees Jenkins, Kubernetes, Ansible, Docker or OpenShift.
• Familiarity with relational databases (e.g. Oracle, MySQL), NoSQL databases, or Elasticsearch

Responsibilities

• Contribute to development and maintenance of observability platform components in Java and Python.
• Onboard application logs onto the observability platform and define logging standards, structured log formats, and ingestion pipelines.
• Develop log parsers and ingestion pipelines and Kibana dashboards.
• Assist in implementing alerting rules and anomaly detection to support ops and business needs.

Skills

Java

Python

DevOps

CI/CD

Education

University degree in Computer Science, Software Engineering or equivalent.

Tools

Elastic Stack

Kibana

Docker

Kubernetes

OpenTelemetry

CloudBees Jenkins

Red Hat Ansible

RHEL

Job description

Swift, the world’s leading provider of secure financial messaging services, seeks an Observability Software Engineer to design, develop and scale our observability platform. You will onboard application logs onto the Elastic Stack, build log parsers and pipelines, and deliver Kibana dashboards that provide meaningful insights to engineering teams.

You will contribute Java and Python tooling, participate in CI/CD development, and apply infrastructure-as-code practices with Docker and Kubernetes