Site Reliability Engineer Full Time

Summary:

The Site Reliability Engineer at Dremio ensures the reliability and uptime of services for a unified lakehouse platform. Dremio, built on open-source technologies like Apache Iceberg, serves global enterprises with scalable analytics and AI solutions, emphasizing flexibility and cost-efficiency.

Responsibilities:

• Drive continuous improvements to our usage of Kubernetes, our Operators, and the GitOps deployment paradigm.
• Extend our networking, service mesh, and Kubernetes systems to support connectivity between GCP, AWS, and Azure.
• Collaborate with Engineering teams to support services before they go live through activities such as system design consulting, developing software platforms and frameworks, monitoring/alerting, capacity planning, production readiness, and service reviews.
• Help define and instrument Service Level Indicators and Objectives (SLIs/SLOs) with service owners in the Engineering teams.
• Develop SLO-based on-call strategies for service owners and their teams.
• Collaborate within our virtual Observability team: develop and improve observability (tracing, events, metrics, profiling, logging, and exceptions) of the Dremio Cloud product.
• Debug and optimize code written by others and automate routine tasks.
• Evangelize and advocate for resilience engineering and reliability practices across our organization.
• Scale systems sustainably through automation and evolve systems by pushing for changes that improve reliability and velocity.
• Join an on-call rotation for systems and services that the SRE team owns.
• Practice sustainable incident response and post-incident investigation analysis.
• Drive the cultural, technical, and process changes to move towards a true continuous delivery model within the company.

Requirements:

• 3+ years of relevant experience in the following areas: SRE, DevOps, Distributed Systems, Cloud Operations, Software Engineering.
• Familiarity in Kubernetes, Istio, Terraform, ArgoCD/Flux.
• Familiarity with software-defined networking infrastructure: dedicated and partner interconnects, VPNs, BGP.
• Excellent command of cloud services on GCP/AWS/Azure, CI/CD pipelines.
• Moderate-advanced experience in Python/Go, and at least reading knowledge of Java.
• Interest in designing, analyzing, and troubleshooting large-scale distributed systems.
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership, drive, and determination.
• Great ability to debug and optimize code and automate routine tasks.
• Hands-on experience with large-scale production Kubernetes clusters (<=1000 nodes) (Bonus).
• Experience developing SLIs/SLOs for production systems (Bonus).

Benefits:

• Lunch catering/meal credits provided in the office and local socials aligned to Workplace Wednesdays.