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