Grafana Labs

Senior Engineering Manager for Corporate Engineering at Grafana Labs, focusing on internal AI strategy, agentic workloads, and automation platforms. The role involves leading a team to manage and secure corporate systems, enable internal AI usage, and build platforms for automation and internal applications, emphasizing DevOps and an "everything-as-code" approach.

This role leads the Corporate Engineering team, focusing on optimizing IT operations and driving the internal AI strategy. The team provides core systems and platforms to enable employees to build automations, ship internal applications, and deploy background agentic workloads. Responsibilities include managing corporate security, defining the internal AI rollout strategy, and building internal platforms for automation and employee enablement, with a strong emphasis on DevOps and an "everything-as-code" approach.

Senior Engineering Manager to lead the Corporate Engineering team, focusing on IT operations, internal tooling, and driving the company's internal AI strategy. The role involves managing a team that provides core systems and platforms to enable employees to build automations, ship internal applications, and deploy agentic workloads, while also handling corporate security and SaaS vendor management. The emphasis is on enabling self-service, DevOps principles, and leveraging AI for internal processes.

Senior Engineering Manager for Corporate Engineering to lead a team responsible for internal AI strategy, agentic workloads, and automation platforms at a remote-first, open-source company. The role involves managing IT operations, security, and enabling employees with technology, with a focus on DevOps principles and an AI-native approach.

Senior Engineering Manager to lead the Corporate Engineering team, focusing on optimizing IT operations and driving the internal AI strategy. This role involves managing a team that provides core systems and platforms for automation, internal applications, and agentic workloads, enabling employees to own their workflows. The position emphasizes DevOps principles, enabling experimentation, and defining IT systems in the AI age.

Senior Engineering Manager to lead the Corporate Engineering team, focusing on optimizing IT operations and driving the internal AI strategy. The role involves managing a team that provides core systems and platforms for internal automations, internal applications, and background agentic workloads, while also handling traditional IT operations and security. The goal is to enable all employees to own their workflows and define IT systems in the AI age.

Senior Engineering Manager to lead the Corporate Engineering team, focusing on optimizing IT operations and driving the internal AI strategy. This role involves building platforms for automation, agentic workloads, and internal AI usage, while managing traditional IT systems and security. The goal is to enable employees to own their workflows and leverage AI in an AI-native, everything-as-code company.

This role is for a Senior Fullstack Engineer focused on Grafana's Real User Monitoring (RUM) product. The primary responsibilities involve building and evolving fullstack features for systems that ingest, store, and query high-volume telemetry data (sessions, events, traces, logs) in real-time. This includes backend services, APIs, storage systems, query layers, and frontend visualization applications. The role emphasizes working with high-cardinality data, distributed systems, and observability concepts, with a preference for Go and TypeScript/React. While the company uses AI tools and provides access to frontier models, the core function of the role is not AI/ML development but rather building robust observability systems.

Staff Software Engineer at Grafana Labs focused on building and maintaining the backend of observability solutions, including Kubernetes Monitoring, within Grafana Cloud. The role involves designing and implementing scalable integrations, creating middleware, contributing to open-source projects, and leading technical direction. While the role mentions using AI coding assistants and frontier models, the core function is software engineering for observability platforms, not direct AI/ML model development.

Staff Software Engineer at Grafana Labs focused on building and maintaining the backend of their Cloud Observability platform, which integrates metrics, logs, and traces. The role involves designing and implementing scalable integrations, creating middleware, contributing to open-source projects (Alloy, Prometheus, OpenTelemetry, Beyla), and leading technical direction. The company uses AI coding assistants and frontier models to enhance developer productivity.

Staff Software Engineer role at Grafana Labs focused on building and maintaining the backend of their Cloud Observability platform, specifically for Kubernetes monitoring. The role involves designing and implementing scalable integrations, creating middleware components, and contributing to open-source projects. While the company uses AI tools for developer productivity, the core function of this role is not AI/ML model development but rather building robust observability infrastructure.

Staff Software Engineer role at Grafana Labs focused on building and maintaining backend components for their Cloud Observability platform, including integrations, middleware, and infrastructure monitoring for Kubernetes. The role involves contributing to open-source projects, leading technical direction, and collaborating with various teams. The company encourages the use of AI coding assistants and provides access to frontier models for developer productivity.

Staff Software Engineer role at Grafana Labs focused on building and maintaining the backend of their Cloud Observability platform, specifically for Kubernetes Monitoring. The role involves designing and implementing scalable integrations, creating middleware, contributing to open-source projects (Alloy, Prometheus, OpenTelemetry, Beyla), and leading technical direction. While the company uses AI tools for developer productivity, the core function of the role is not AI/ML model development.

Staff Software Engineer role at Grafana Labs focused on building and maintaining the backend of observability solutions, including metrics, logs, and traces. The role involves designing and implementing integrations, creating middleware, contributing to open-source projects, and leading technical direction. While the company uses AI tools for developer productivity, the core function of the role is not AI/ML model development.