Die KI-Suchmaschine für Jobs
Software Engineer, Data Intake(m/w/x)
Beschreibung
In this hybrid role, you will engage in deep systems work, developing the Observe Agent and building robust data pipelines while ensuring a seamless onboarding experience for users. Your efforts will help make data ingestion self-serve and transparent.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Strong software engineering fundamentals
- •Proficiency in Go or another statically typed language
- •Experience with distributed systems, data pipelines, or agent-based software
- •Familiarity with Kubernetes and cloud environments (AWS, GCP, or similar)
- •Comfort reading and reasoning about open-source code and external systems
- •Enjoy debugging distributed systems and data pipelines
- •Comfort moving between configuration, infrastructure, and code
- •Care about making complex systems observable, diagnosable, and explainable
- •Like turning messy production reality into clear signals and APIs
- •Experience with OpenTelemetry, observability agents, or telemetry pipelines
- •Experience building or operating control planes for distributed systems
- •Prior work on onboarding, configuration management, or user-facing diagnostics for infrastructure products
- •Background in platform, infrastructure, or SRE-adjacent teams
Berufserfahrung
ca. 1 - 4 Jahre
Aufgaben
- •Develop the Observe Agent with custom receivers, processors, and exporters
- •Build configuration-heavy systems using OTel config, Helm charts, Kubernetes, and AWS templates
- •Create control-plane APIs and data models to represent ingestion state, errors, and events
- •Debug complex ingestion issues across agents, pipelines, and backend systems
- •Scale systems to translate low-level distributed behavior into clear user-facing signals
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
- ObserveVollzeitnur vor OrtBerufserfahrenZürich
- Observe
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Software Engineer, Data Intake(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
In this hybrid role, you will engage in deep systems work, developing the Observe Agent and building robust data pipelines while ensuring a seamless onboarding experience for users. Your efforts will help make data ingestion self-serve and transparent.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Strong software engineering fundamentals
- •Proficiency in Go or another statically typed language
- •Experience with distributed systems, data pipelines, or agent-based software
- •Familiarity with Kubernetes and cloud environments (AWS, GCP, or similar)
- •Comfort reading and reasoning about open-source code and external systems
- •Enjoy debugging distributed systems and data pipelines
- •Comfort moving between configuration, infrastructure, and code
- •Care about making complex systems observable, diagnosable, and explainable
- •Like turning messy production reality into clear signals and APIs
- •Experience with OpenTelemetry, observability agents, or telemetry pipelines
- •Experience building or operating control planes for distributed systems
- •Prior work on onboarding, configuration management, or user-facing diagnostics for infrastructure products
- •Background in platform, infrastructure, or SRE-adjacent teams
Berufserfahrung
ca. 1 - 4 Jahre
Aufgaben
- •Develop the Observe Agent with custom receivers, processors, and exporters
- •Build configuration-heavy systems using OTel config, Helm charts, Kubernetes, and AWS templates
- •Create control-plane APIs and data models to represent ingestion state, errors, and events
- •Debug complex ingestion issues across agents, pipelines, and backend systems
- •Scale systems to translate low-level distributed behavior into clear user-facing signals
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Über das Unternehmen
Observe, Inc.
Branche
IT
Beschreibung
The company is an AI-powered observability platform engineered for scale, enabling efficient telemetry ingestion and analysis.
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