Role: GoLang Engineer (Observability, Grafana)

Location: Remote

Experience: 15+ years

Contract

Notice Period: Looking for Immediate Joiners

Are you a passionate GoLang Engineer (Observability, Grafana) looking for your next big opportunity? We are looking for skilled professionals to join our dynamic team and work on cutting-edge projects with a collaborative and innovative environment.  

Make sure Go lang hands exp is key for every role they should be extremely good in go lang programming, they must be comfortable in programming and efficient.

Job Description:

We're seeking experienced Golang engineers with strong observability and distributed systems expertise to join our team: US time zone engineers focusing on new feature development and third-party integrations.

Role and Responsibilities: -

• Maintain and enhance the current observability infrastructure and integrate with third-party observability solutions to strengthen the overall product experience.
• Responsibilities Integrate Customer's Insights Platform with third-party observability providers like New Relic, Datadog, Splunk, and Grafana Labs.
• Prototype and evaluate integration approaches with third-party observability vendors.
• Collaborate with product, platform, and infrastructure teams to design data-sharing mechanisms.
• Work on agent-level enhancements for metrics ingestion and telemetry export.
• Modify or extend Golang-based backend components for compatibility with external APIs.
• Rapidly experiment, test, and validate integration workflows and performance.
• Contribute to design discussions around scalability, cost optimization, and data modeling.
• Work closely with distributed team members

Skills set required : -

• Required Skills Strong experience in Golang backend development and systems programming.
• Deep understanding of observability ecosystem tools ? New Relic, Datadog, Splunk, Grafana, etc.
• Experience integrating telemetry pipelines via OpenTelemetry / OTLP / Prometheus exporters.
• Solid grasp of distributed tracing, metrics instrumentation, and log aggregation.
• Proven experience with APIs, data serialization (JSON, Protobuf), and backend data models.
• Exposure to cloud-native architectures (Kubernetes, Docker) and CI/CD workflows.
• Strong ability to prototype quickly, test hypotheses, and deliver proofs-of-concept.
• Excellent written and verbal communication for cross-time-zone collaboration.
• Preferred Skills Experience with agent-based observability systems.
• Familiarity with Kafka, gRPC, time-series databases, and data ingestion pipelines.
• Experience with SaaS observability or cloud infrastructure products.