OpenShift Telemetry Engineer

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OpenShift Telemetry Engineer
The Role We are seeking a skilled OpenShift Telemetry Engineer to join our team. In this role, you will be responsible for implementing, managing, and optimizing the observability stack within a Red Hat OpenShift Container Platform environment to ensure system health, performance, and security.
You will act as a bridge between application monitoring and infrastructure observability , leveraging modern telemetry and data streaming tools.
Key Responsibilities Design, implement, and maintain data pipelines to ingest and process OpenShift telemetry data (metrics, logs, and traces) at scale.

Stream OpenShift telemetry through Kafka (producers, topics, schemas) and build resilient consumer services for transformation and enrichment.

Engineer data models and routing mechanisms for multi-tenant observability while ensuring data lineage, quality, and SLA adherence across streaming layers.

Integrate processed telemetry into Splunk for dashboards, visualization, alerting, and analytics to achieve Observability Level 4 (proactive insights) .

Implement schema management, governance, and versioning using Avro or Protobuf for telemetry events.

Build automated validation, replay, and backfill mechanisms to ensure data reliability and recovery.

Instrument services with OpenTelemetry , standardizing tracing, metrics, and structured logging across platforms.

Utilize LLM-based capabilities to enhance observability (e.g., query assistance, anomaly summarization, runbook generation).

Collaborate with Platform, SRE, and Application teams to integrate telemetry, alerts, and SLOs.

Ensure security, compliance, and best practices for telemetry data pipelines and observability platforms.

Document data flows, schemas, dashboards, and operational runbooks .

Required Skills & Experience Hands-on experience building streaming data pipelines with Kafka (producers/consumers, schema registry, Kafka Connect, KSQL, Kafka Streams).

Strong experience with OpenShift / Kubernetes telemetry , including OpenTelemetry and Prometheus.

Experience integrating telemetry into Splunk (HEC, Universal Forwarder, source types, CIM) and building dashboards and alerts.

Strong data engineering skills using Python (or similar languages) for ETL/ELT, enrichment, and validation.

Experience with event schemas (Avro, Protobuf, JSON) and schema compatibility strategies.

Familiarity with observability frameworks and maturity models , driving toward Level 4 observability (proactive monitoring and automated insights).

Understanding of hybrid cloud and multi-cluster telemetry architectures .

Preferred Skills: Security and compliance practices for data pipelines , including:
Secret management

RBAC

Encryption in transit and at rest

Strong problem-solving and analytical skills .

Ability to work effectively in cross-functional teams .

Excellent communication and documentation skills .

TPBN1_UKTJ
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Location:
London
Salary:
not provided
Job Type:
FullTime
Category:
IT;Engineering

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