Posted on: 14/10/2026



About the Role:
We are looking for a Senior Platform Engineer with at least 7 years of experience to join our Platform Engineering team, with a strong focus on observability. In this role, you will build, operate, optimize, and enhance the platforms that provide visibility into our applications and infrastructure.
Key Responsibilities :
- Build, operate, maintain, and enhance enterprise observability platforms for applications and infrastructure.
- Operate and optimize observability backends, ingestion pipelines, agents/collectors, and data lifecycle management.
- Implement observability solutions and standards defined by Staff and Principal Engineers.
- Build and maintain telemetry pipelines for logs, metrics, traces, and events.
- Lead telemetry and data onboarding for applications, infrastructure, Kubernetes, cloud, and platform teams.
- Provide product support to internal teams - troubleshoot telemetry ingestion issues, query performance problems, and platform usage questions.
- Monitor and improve platform availability, performance, capacity, scalability, and reliability.
- Troubleshoot complex production issues related to telemetry ingestion, processing, storage, indexing, and query performance.
- Optimize data stores, retention policies, indexing strategies, and storage utilization.
- Build and maintain dashboards, alerts, integrations, and operational tooling.
- Automate platform provisioning, configuration, and deployments using Infrastructure as Code and CI/CD.
- Partner with Application, SRE, Infrastructure, and Security teams to improve telemetry quality, coverage, and incident response.
Key Requirements :
- 7+ years of hands-on experience in Platform Engineering, DevOps, SRE, Infrastructure Engineering, or Observability Engineering.
- Strong hands-on experience with at least one major observability stack (e.g., Elastic, Grafana, Datadog, Splunk, or equivalent).
- Experience operating and troubleshooting production observability platforms at scale.
- Strong understanding of logs, metrics, distributed tracing, telemetry pipelines, and core observability concepts.
- Experience onboarding telemetry/data sources and supporting internal customers through integration and troubleshooting.
- Hands-on experience with Kubernetes, containers, Linux, networking, and cloud infrastructure.
- Familiarity with OpenTelemetry or similar instrumentation and collection frameworks.
- Advanced troubleshooting skills across applications, infrastructure, and distributed systems.
- Hands-on experience with Infrastructure as Code tools such as Terraform.
- Experience building CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, or similar tools.
- Hands-on automation and scripting experience using Python, Go, Bash, or similar languages.
- Experience with performance tuning, capacity planning, data lifecycle management, and platform optimization.
- Working knowledge of telemetry collection, signal processing, cross-signal analysis, alerting, and production troubleshooting.
- Consistently demonstrated ability to build, operate, troubleshoot, and improve production-grade platform solutions.
- Experience implementing SLIs, SLOs, alerting standards, and reliability monitoring.
Nice to Have :
- Experience with modern observability tooling such as Grafana, Prometheus, ClickHouse, or pipeline/stream processing platforms.
- Experience with log/metric/trace collectors and streaming technologies (e.g., Fluent Bit, Kafka).
- Experience with high-volume telemetry environments and cost optimization.
- Experience with GitOps workflows and observability-as-code practices.
- Experience creating onboarding documentation, runbooks, and self-service guidance for platform users.
Did you find something suspicious?
Posted by
Posted in
Platform Engineering / SAP/Oracle
Functional Area
DevOps / Cloud
Job Code
1678261