Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote opportunity and we would be interested in applications from Germany, UK, Ireland and Spain.

The Opportunity

Grafana Cloud is our composable observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, and Tempo – without the overhead of installing, maintaining and scaling their own observability stack

The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it.

The OpenTelemetry SDKs team's mission is to make sure our users succeed in instrumenting their software with OpenTelemetry. We work closely with the OpenTelemetry SIGs to make OpenTelemetry SDKs and instrumentation libraries a success. Members of this team are experts in at least one programming language and have a broad knowledge of various other programming languages.

In this role, you will focus on a language-specific implementation of OpenTelemetry in Python, with an emphasis on OpenTelemetry for Generative AI. You will get to work in an upstream-first approach, helping accelerate the OpenTelemetry project while bringing the innovations to Grafana labs products and offerings.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. We are looking for Engineers that are passionate about communicating with data and providing seamless experiences for our customers to join our growing team! Engineers at Grafana also have the opportunity to contribute to Open Source communities.

At Grafana Labs, ICs have a dedicated career path and do not have to become managers to progress in their career. Staff Software Engineers at Grafana have a large amount of experience across multiple areas. They are able to estimate, plan, coordinate and deliver large tasks spanning multiple systems. They actively coach and mentor other team members in their team and are able to identify and resolve issues with technology and product processes.

What You’ll Be Doing

You will bring your software engineering expertise to develop improvements to the OpenTelemetry Python SDK and instrumentation libraries, with a strong focus on AI applications and agent workflows. This is a hands-on role for someone with deep Python expertise and an interest in AI.

Collaborate in open-source communities. You will develop and maintain the OpenTelemetry Python SDK and instrumentation libraries, working with maintainers and other vendors on specifications, APIs, and implementation decisions.