Engineering Manager – Observability

Job not on LinkedIn

🔥 7 minutes ago

🌐 Sweden, Germany, +3 more countries – Remote

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💵 kr878k - kr1.1M / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 2%

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Logo of Grafana Labs

Grafana Labs

501 - 1000 employees

Founded 2014

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

Enterprise • SaaS • Artificial Intelligence

Grafana Labs is a company that specializes in open-source observability technologies and solutions. It offers a comprehensive suite of tools for logging, metrics, tracing, and profile management with products like Grafana, Loki, Tempo, and Mimir. Their offerings are designed to help businesses visualize, monitor, and alert on data from various sources, providing capabilities such as anomaly detection, root cause analysis, and service level objective management using AI/ML insights. Grafana Labs provides both cloud-based and self-managed solutions, ideal for infrastructure, application, and frontend observability. Additionally, their platform supports integration with various data sources like Prometheus and OpenTelemetry, making them a key player in the observability and infrastructure monitoring space.

📋 Description

• Manage and develop backend and frontend engineers • Provide regular feedback and support career growth through career conversations • Collaborate with go-to-market teams to support customers and prospects through their Observability collection journey • Partner with product and engineering leadership on Fleet Management, the Kubernetes Helm Chart, and the Instrumentation Hub • Guide projects from ideation through planning, execution, and post-launch • Ensure consistent delivery of high-quality results • Foster psychological safety, learning, experimentation, innovation, and continuous improvement • Contribute across team boundaries and partner with other functions to solve customer problems

🎯 Requirements

• Experience in Observability, especially OpenTelemetry, or building a central control plane that manages fleets of collectors is a strong advantage • Comfortable working with autonomous engineering teams in technical and product decision-making • Up-to-date understanding of technical trends and the challenges engineering teams face • Comfortable collaborating across time zones and cultures in a fully remote environment • Demonstrated ability to manage complexity, align stakeholders, and elevate team performance • Deep customer focus and ability to ground decisions in user needs and real-world impact • Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, and observability • Comfortable using AI-assisted tooling; practical experience incorporating AI-powered tools into a team's workflow is ideally expected

🏖️ Benefits

• Restricted Stock Units (RSUs) • Company-funded usage budget for AI coding assistants • Access to frontier models from OpenAI, Anthropic, and Google • 100% remote work • Career growth pathways • In-person onboarding • 30 days of annual leave per annum • 3 annual leave days reserved for Grafana Shutdown Days

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