Staff Software Engineer – Databases SRE

🔥 18 hours ago

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

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

• Partner closely with product engineering squads (embedded model) • Own production reliability for high-SLA and complex customer environments • Design and implement automation to scale our reliability practices • Ensuring our customers meet our SLO targets • Define and evolve per-tenant SLOs and reliability models • Proactively reduce SLO burn to prevent repeat incidents • Serving as a primary escalation point and on-call for relevant incidents • Lead customer-impacting incident response and post-incident reviews • Contribute to design docs and code reviews • Influence feature design to ensure production scalability and operability • Build automation to eliminate toil where needed • Improve alert quality and reduce noisy escalations

🎯 Requirements

• 8+ years engineering experience, 4+ in SRE/CRE/production engineering. Strong preference for those with formal customer reliability engineering experience. • Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.). • Strong experience with technical leadership, leading a team through projects, mentoring other engineers on the team and serving as a force-multiplier • Experience operating multi-tenant systems in production • Strong experience designing and implementing SLOs • Experience with one or more programming languages (e.g. Go, Python, Java, etc) • Experience with Linux operating systems internals, and some knowledge of networking, cloud storage, and scaling. • Excellent problem-solving and troubleshooting skills. • Experience with calmly and actively participating in blame-free Incident Response, following up on actions, and writing high quality PIRs (Post Incident Reviews, a.k.a. post-mortem documents) • Ability to reason about performance, scaling, and failure modes • Comfortable working within an engineering team where individuals are encouraged to have a strong sense of autonomy and self-direction. • Ability to partner deeply with product engineering teams • We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!)

🏖️ Benefits

• 100% Remote, Global Culture • Scaling Organization • Transparent Communication • Innovation-Driven • Open Source Roots • Empowered Teams • Career Growth Pathways • Approachable Leadership • Passionate People • In-Person onboarding • Balance is Key

Apply Now

Similar Jobs

🕒 May 12

Stellar Cyber

51 - 200

🔒 Cybersecurity

🤖 Artificial Intelligence

🏢 Enterprise

Seeking a Staff Site Reliability Engineer to enhance scalability and efficiency for production systems at Stellar Cyber. Join a leader in cybersecurity focused on innovative solutions against cyber threats.

AWS

Azure

Cloud

Distributed Systems

ElasticSearch

Google Cloud Platform

Grafana

Kafka

Kubernetes

Linux

MongoDB

Prometheus

Python

Redis

Spark

Terraform