Senior Open Telemetry (OTel) Instrumentation Engineer || Woodland Hills, CA

MAX RATE: $55/hr. C2C (All Inclusive + Including VMS Charges 6%)

OPT is also workable.

Experience Required: 10 & Above

 

 

Role: Senior Open Telemetry (OTel) Instrumentation Engineer

Location: ONSITE- Woodland Hills, CA

Duration: 6 months

 

Experience with: Instrumentation across languages (Java, Python, Go, Node.js, .NET)”
Skills: Dynatrace

 

RESPONSIBILITIES:

1. SaaS Instrumentation
• End-to-End Instrumentation: Instrument SaaS products utilizing OTel SDKs (Python, Node.js, Java, Go) to ensure spans, metrics, and structured logs are emitted at the appropriate granularity.
• Semantic Conventions: Define and enforce attribute naming conventions (e.g., service.name, tenant.id, feature.flag) aligned strictly with OTel semantic standards.
• Multi-Tenant Observability: Instrument multi-tenant surfaces to guarantee robust tenant-level observability while preventing cross-tenant data leakage.
2. Cloud Infrastructure
• Collector Fleet Management: Deploy and maintain the OTel Collector fleet across AWS, GCP, and Azure, including receiver configurations, processor pipelines, and exporter routing. • Runtime Instrumentation: Instrument serverless (Lambda, Cloud Run) and container runtimes (EKS, GKE, AKS) utilizing auto-instrumentation where feasible, and manual instrumentation when technical nuance requires it.
• Metric Normalization: Collect and normalize cloud provider metrics (CloudWatch, Cloud Monitoring, Azure Monitor) via OTel receiver plugins.
3. Network Telemetry
• Data Collection: Gather network flow data (sFlow, NetFlow/IPFIX), SNMP traps, and BGP state via OTel-native and bridged receivers.
• Context Propagation: Correlate network events with application traces using consistent trace-context propagation across network boundaries.
• Strategy Collaboration: Partner with NetOps to define the MELT (Metrics, Events, Logs, Traces) strategy for on-prem, SD-WAN, and cloud interconnect segments.
4. Application Observability
• APM Ownership: Own Application Performance Monitoring (APM) instrumentation, including distributed tracing, custom span attributes, database query capture, and error fingerprinting.
• Asynchronous Workloads: Instrument async workloads (Kafka, SQS, Celery) ensuring W3C Trace Context propagation across message boundaries.
• SLI/SLO Definition: Define and instrument Service Level Indicators (SLIs) and Service Level Objectives (SLOs)—such as latency histograms, error-rate counters, and availability gauges—queryable directly from the Lakehouse.
5. Platform & Standards
• Internal Libraries: Build and maintain internal instrumentation libraries and language-specific wrappers that encode organizational conventions.
• Governance: Author and review instrumentation RFCs while driving the adoption of OTel semantic conventions across all engineering teams.
• Data Alignment: Collaborate with the AIOps ML team to ensure telemetry schemas meet feature engineering and ML model requirements.
• Pipeline Operations: Operate the Collector pipeline at scale, managing backpressure handling, sampling strategies (tail/head), and cardinality budgets.”
“Strong expertise in:

OpenTelemetry (SDKs, APIs, Collector, OTLP)
Distributed tracing, metrics, logging principles [opentelemetry.io]

 

Thank You!

Vineet Kumar Sharma

Senior Recruitment Consultant

Email ID: vineet.kumar@pacerstaffing.com