Senior Systems Software Engineer, Observability and Telemetry Platform

Jobtailor; Deutschland; Remote; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Jobtailor is seeking an experienced engineer to design, implement, and support a large-scale Observability & Telemetry platform, focusing on performance at scale, real-time monitoring, logging, and alerting.

You will engage in the full lifecycle of services—from inception through deployment, operation, and refinement—while maintaining live systems, scaling via automation, and participating in on-call rotations with a strong emphasis on reliability and automation.

Qualifikationen

• BS Degree in Computer Science (or related field).
• 5+ years in infrastructure automation and distributed systems design.
• Experience delivering observability platforms and tooling.

Aufgaben

• Design, implement, and support the Observability & Telemetry platform at scale.
• Engage in full service lifecycle from design to deployment and refinement.
• Maintain live services by monitoring availability, latency and health.
• Scale systems via automation to improve reliability and velocity.
• Lead incident response and blameless postmortems; participate in on-call rotations.

Kenntnisse

Infrastructure Automation

Distributed Systems Design

Python Programming

Kubernetes Management

Observability Tools Experience

Ausbildung

BS Degree in Computer Science

Tools

Kubernetes

OpenStack

Docker

Grafana

OpenTelemetry

Prometheus

Jobbeschreibung

• Design, implement, and support operational and reliability aspects of a large-scale Observability & Telemetry collection platform, focusing on performance at scale, real-time monitoring, logging, and alerting
• Engage in and improve the full lifecycle of services, from inception and design through deployment, operation, and refinement
• Support services before launch through system design consulting, development of software tools, platforms, and frameworks, capacity management, and launch reviews
• Maintain live services by measuring and monitoring availability, latency, and overall system health
• Scale systems sustainably through automation and evolve systems by driving changes that improve reliability and velocity
• Practice sustainable incident response and blameless postmortems
• Participate in an on-call rotation to support production systems

Requirements

• BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience
• 5+ years of experience with Infrastructure automation, distributed systems design, and designing and developing tools for running large-scale private or public cloud systems in production
• 5+ years of experience delivering foundational infrastructure and observability platforms
• Experience with one or more of: Python, Go, Perl, or Ruby
• In-depth knowledge of Linux, networking, and containers
• Experience in using or running large private and public cloud systems based on Kubernetes, OpenStack, and Docker
• Experience running Grafana, OpenTelemetry, Prometheus, and similar observability-focused tools

Core Competencies

Demonstrates expertise in designing and implementing large-scale Observability and Telemetry platforms, with a strong focus on performance, reliability, and automation. Proficient in managing cloud systems and utilizing observability tools to ensure system health and operational excellence.

Highest-signal resume keywords

• Infrastructure Automation
• Distributed Systems Design
• Python Programming
• Kubernetes Management
• Observability Tools Experience

Hard Skills

• Infrastructure Automation
• Distributed Systems Design
• Python
• Go
• Perl
• Ruby
• Linux
• Networking
• Containers
• Cloud Systems

Soft Skills

• Incident Response
• Collaboration

Certifications & Qualifications

• BS Degree in Computer Science

Industry Keywords

• Observability
• Telemetry
• Performance Monitoring
• System Health
• Automation

Tools & Technologies

• Kubernetes
• OpenStack
• Docker
• Grafana
• OpenTelemetry
• Prometheus