
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.
🕒 May 7
AWS
Azure
Cassandra
Cloud
Distributed Systems
Google Cloud Platform
Kafka
Kubernetes
Linux
Postgres
Terraform
Go
Improve your chances of getting an interview by checking your resume score before you apply.

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.
• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure. • Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.). • Designing safe upgrade and rollout strategies at scale. • Improving observability, automation, and operational ergonomics. • Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance. • Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc. • Serving as a primary escalation point and on-call for relevant incidents. • Owning the relationship with all system vendors, including WarpStream Labs and others.
• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles. • Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra. • Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.). • Solid understanding of distributed systems design and large-scale system trade-offs. • Proficiency in at least one programming language (Go preferred, but not required). • Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior. • Experience participating in blameless incident response and writing high-quality post-incident reviews. • Clear communicator who can collaborate across teams and work autonomously. • Curious, pragmatic, action-oriented, and kind (this is important!).
• All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. • We operate a global annual leave policy of 30 days per annum. • 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. • Professional development opportunities.
Apply Now🕒 May 4
Fullstack Engineer developing high-performance features for Nivoda's jewelry marketplace. Collaborating with stakeholders to design and launch groundbreaking products with a focus on customer-centric experiences.
GraphQL
JavaScript
Node.js
Postgres
React
🕒 April 24
Software Engineer developing efficient ML pipelines for Assaia's AI-based solutions in aviation. Collaborate with researchers and improve software infrastructure for production systems.
Django
Docker
Kubernetes
NoSQL
Python
SQL
🕒 April 24
Senior Tech Generalist designing and maintaining systems for software and tech-enabled hardware financing. Work involves frontend/backend development and third-party API integrations.
BigQuery
Cloud
Google Cloud Platform
JavaScript
Kubernetes
Node.js
TypeScript
🕒 April 23
5001 - 10000
Senior Cloud Software Engineer for Twilio, leading the implementation of scalable cloud infrastructure and driving long-term platform strategy. Collaborating across teams to ensure service reliability and operational excellence.
AWS
Cloud
DNS
Grafana
Java
Microservices
Python
Terraform
Go
🕒 April 22
Senior Software Engineer improving Firefox development workflows and CI systems for Mozilla. Collaborating with teams to enhance productivity and mentor developers across a globally distributed team.
Android
AWS
Cloud
Django
Flask
Google Cloud Platform
JavaScript
Linux
Python
SQL