Odigos Tech Stack

eBPF-based observability without code changes or performance overhead

Software Development Boston, Massachusetts 11–50 employees Privately Held

Odigos instruments applications via eBPF — a kernel-level technology that captures observability data without modifying code or adding runtime overhead. The tech stack (Go, Python, Node.js, Java, C, Kubernetes, eBPF, OpenTelemetry, AWS, Assembly, Linux) reflects deep systems engineering chops; the project list reveals active work on Kubernetes operators, eBPF program development, and observability automation pipelines. Hiring is engineering-focused and senior-weighted, concentrated in the US and Israel, with decelerating velocity — typical of a small, specialized team building infrastructure.

Tech Stack 11 technologies

Core StackGo Python Node.js Java Kubernetes OpenTelemetry AWS Linux eBPF C Assembly

AdoptingKubernetes

What Odigos Is Building

◆Challenges

Manual observability pipeline
Extracting monitoring data
Manual pipeline development
Error-prone pipeline
Manual pipeline implementation
Error-prone monitoring data extraction
Developer monitoring data delivery

▲Active Projects

Community building
Kubernetes operator development
Observability pipeline automation
Ebpf program development
Enterprise offering design
Enterprise offering development
Ebpf instrumentation development
Kubernetes operators in go
Enhancing observability across application environments

Hiring Activity

Decelerating5 roles · 1 in 30d

Department

Engineering

Seniority

Senior

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About Odigos

Odigos provides automatic instrumentation for distributed tracing across applications and services using eBPF. The platform generates OpenTelemetry output without requiring code changes, SDK updates, or language-specific agents — a significant advantage for legacy systems, third-party software, and latency-sensitive workloads where traditional instrumentation adds measurable overhead. The company operates as a small, Boston-based engineering team targeting organizations struggling with manual observability pipelines and fragmented monitoring data extraction across heterogeneous environments.

HeadquartersBoston, Massachusetts

Company Size11–50 employees

Hiring MarketsIsrael, United States

Frequently Asked Questions

What technology does Odigos use for instrumentation?

Odigos uses eBPF (extended Berkeley Packet Filter) to run outside application processes, capturing observability data via OpenTelemetry without code changes. The stack includes Go, Python, Node.js, Java, C, Kubernetes, and Linux.

What is Odigos building right now?

Active projects include eBPF program development, Kubernetes operator development (in Go), observability pipeline automation, enterprise offering design and development, and community building.