Engineering Manager - Observability | Spain | Remote

grafanalabs; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Fully remote work

30 days annual leave + shutdown days

RSU-based compensation

AI coding assistants access

Open-source culture and values

Job summary

Grafana Labs seeks a proven engineering leader to guide a distributed team responsible for the data ingestion layer of a large-scale observability platform. You will blend people leadership with technical direction to drive tooling for collectors, Kubernetes deployment, and a unified command experience.

Collaborate with product, engineering leadership, and GTM teams across regions to shape delivery and customer outcomes, while fostering an inclusive, high-performance culture.

Qualifications

• Proven experience managing software engineers and providing career growth feedback.
• Experience leading backend/frontend systems for cloud-based platforms or developer tooling.
• Ability to manage a fully remote, distributed team across time zones.
• Collaborating with product, design, and GTM stakeholders to align work with customer outcomes.
• Guiding teams through full project lifecycle from concept to post-launch iteration.

Responsibilities

• Lead and grow a remote engineering team, providing feedback and career development.
• Partner with GTM teams to drive customer adoption of observability tooling.
• Coordinate fleet management, Kubernetes deployment charts, and instrumentation hub within the product experience.
• Guide ideation, planning, execution, and post-launch phases for high-quality results.
• Foster a psychologically safe environment encouraging learning, experimentation, and continuous improvement.
• Collaborate across boundaries and partner with other functions to solve customer problems.

Skills

People leadership

Backend & frontend experience

Cloud platforms

Distributed teams

Cross-functional collaboration

Education

Bachelor's degree in CS or related field

Tools

Kubernetes

Helm charts

Job description

Role overview

Lead a distributed engineering team focused on the data ingestion layer of a large-scale observability platform. The role blends people leadership with technical direction, guiding engineers who build and operate tooling that lets customers roll out collectors, deploy monitoring into Kubernetes clusters, and combine those flows into a single-command experience. Expect close partnership with product, engineering leadership, and go-to-market teams across multiple regions.

Responsibilities

• Manage and grow a remote team of backend and frontend engineers, providing regular feedback and supporting each person's career development.
• Partner with go-to-market teams to help prospects and customers succeed with their adoption of the observability collection tooling.
• Coordinate with product and engineering leadership to make sure fleet management, the Kubernetes deployment chart, and the instrumentation hub fit smoothly into the broader end-to-end product experience.
• Guide the team through ideation, planning, execution, and post-launch phases, delivering high-quality results on a consistent cadence.
• Build a psychologically safe environment where engineers can learn, experiment, and iterate quickly while embracing continuous improvement.
• Collaborate across team boundaries, contributing to projects outside the immediate scope and partnering with other functions to solve customer problems.

Requirements

• Demonstrated experience managing software engineers, including performance feedback and career growth conversations.
• Strong background working on backend and frontend systems, ideally for cloud-based platforms or developer tooling.
• Comfortable leading a fully remote, distributed team across multiple time zones.
• Ability to collaborate with product, design, and go-to-market stakeholders to align technical work with customer outcomes.
• Skilled at guiding teams through the full project lifecycle, from early concept to post-launch iteration.
• Experience fostering inclusive, psychologically safe engineering cultures that value experimentation.

Nice to have

• Familiarity with observability tooling such as metrics, logs, traces, or profiling systems.
• Exposure to Kubernetes-based deployments, Helm charts, or large-scale fleet or configuration management tooling.
• Comfort working with open-source communities and contributing to community-driven projects.

Benefits and work setup

• Fully remote position with on-site onboarding at the start of employment to connect with new teammates.
• Annual leave policy offering 30 days per year, with three reserved shutdown days so the wider team can disconnect together.
• Access to modern AI coding assistants as part of the daily workflow, with flexibility to choose preferred tools within security guidelines.
• RSU-based compensation structure designed to align employees with long-term company outcomes, with country-specific ranges discussed during the process.
• Remote-first, globally distributed culture emphasizing autonomy, transparency, open-source values, and defined career growth pathways.
• Equal opportunity employer with a stated commitment to hiring across race, color, nationality, religion, age, disability, veteran status, pregnancy, marital status, sexual orientation, gender identity, and other protected characteristics, in compliance with local law.