Observability Engineer - SRE, Kubernetes & Automation

United States Digital Space LLC

Singapore

On-site

SGD 90,000 - 120,000

Full time

12 days ago

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Benefits offered by this job

Competitive base salary

Holistic, flexible benefits

Industry‑leading learning and dev

Job summary

Singapore’s longest established bank is seeking an Observability Engineer to join the Site Reliability Engineering team. You will design, build, and maintain the observability platform across Kubernetes and OpenShift to ensure systems are secure, efficient, and highly available.

Key tasks include instrumenting apps with OpenTelemetry, dashboards and SLI/SLOs, and developing internal tooling in Python. You’ll integrate with AWS EventBridge, RESTful APIs, and CI/CD pipelines, partnering with

Qualifications

3–6 years of experience in an SRE, Platform Engineering, or DevOps role with a strong observability focus.
Hands‑on experience with Kubernetes and/or Red Hat OpenShift — cluster operations, namespaces, workloads, and resource management
Proficient in Python — production‑quality scripts, automation utilities, and API integrations
Working experience with OpenTelemetry (OTel) — instrumentation, collectors, exporters, and signal types (logs, metrics, traces)
Experience building or consuming RESTful APIs
Familiarity with AWS EventBridge for event‑driven architecture and integration workflows
Experience with Ansible for configuration management and infrastructure automation
Working knowledge of DevOps tooling: Bitbucket (Git), Jira, Jenkins

Responsibilities

Design, implement, and maintain end‑to‑end observability solutions covering metrics, logs, and distributed traces across Kubernetes and OpenShift clusters.
Instrument applications and infrastructure using OpenTelemetry (OTel) as the standard observability framework; drive adoption across engineering teams.
Build and maintain dashboards, alerting rules, and SLI/SLO frameworks to support service reliability objectives.
Manage and optimise observability data pipelines, ensuring scalability, performance, and data fidelity.
Develop internal observability tooling, automation utilities, and integrations using Python.
Build and maintain RESTful API integrations connecting observability platforms with internal systems and third‑party services.
Design and implement event‑driven workflows using AWS EventBridge to enable real‑time alerting, automated remediation, and cross‑system notification flows.
Contribute to the development of SRE Hub or equivalent service portfolio and onboarding platforms.
Monitor and manage workloads deployed on Kubernetes and Red Hat OpenShift clusters, including namespace observability and container tracing.