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D-Wave · 3 months ago

Senior Site Reliability Engineer

United States

Full-time

Remote

Mid, Senior Level

$124K/yr - $186K/yr

4+ years exp

D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. They are seeking a talented and experienced Senior Site Reliability Engineer (SRE) to ensure the reliability, scalability, and performance of their systems and infrastructure, particularly for their SaaS product and quantum computing services.

ElectronicsManufacturingQuantum ComputingSemiconductor

Responsibilities

Refine, refactor, and evolve monitoring systems and related tools covering our workloads in AWS, GCP, on-premises, and remote field systems across the world

Work with teams including software and hardware engineering, processor development, cryogenics, and customer support to elicit requirements, collect and store metrics, analyze trends, and provide dashboards and other tooling to enable observability across the organization

Own the alerting with other SREs to support infrastructure and on-call management systems and ensure alerting is reliable and scalable

Work closely with the DevOps on and Test Engineering teams to enable instrumenting builds and deploys to ensure reliability through every step of the software development lifecycle

Qualification

SaaS/PaaS experienceAWSGCPIncident managementMonitoring toolsProgramming in PythonTime series databasesLog management toolsCross-trainingKubernetes monitoringCommunication

Required

4+ years of experience operating and troubleshooting SaaS/PaaS applications and environments on a major cloud platform – AWS and GCP preferred – including platform-specific monitoring technologies like Cloudwatch and Stackdriver

4+ years of experience with high level SRE work including incident management, process design, managing on-call rotations (with PagerDuty), and cross-training new and existing employees

Experience with on-premises compute, including servers, storage, power, virtualization, and networking equipment, including specifically using SNMP to monitor networked devices

4+ years of experience with AOS/Elasticsearch/Loki or similar log management tools

Experience with time series databases like Prometheus/InfluxDB, document stores like MongoDB, and classic relational databases like PostgreSQL, AWS Redshift, etc

Proficiency in InfluxQL and PromQL

Significant expertise supporting and integrating analytics and monitoring systems such as ELK, Grafana, Prometheus, Zabbix, LibreNMS, Intermapper, etc

At least two years of programming experience in Python, Go, Bash, Ruby, or equivalent

Degree in Computing Science, Engineering or equivalent education and experience

Excellent oral and written communication skills – you like to document your work!