D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. They are seeking a DevOps Engineer to support and operate hybrid infrastructure platforms, focusing on system reliability, observability, and operational visibility across environments.
Responsibilities:
- Improve observability across systems by developing and maintaining logging, metrics, dashboards, and alerting solutions
- Work with tools such as Zabbix, OpenSearch, CloudWatch, and Grafana to improve system visibility, monitoring coverage, and operational reliability across hybrid cloud and hardware-integrated platforms
- Investigate and resolve issues across infrastructure, Kubernetes workloads, CI/CD pipelines, and cloud services
- Support the operation of Kubernetes platforms (on-prem and cloud), including deploying workloads, troubleshooting issues, and improving system reliability
- Build, maintain, and troubleshoot CI/CD pipelines (e.g., GitHub Actions) to support reliable and repeatable deployments
- Assist with troubleshooting and reliability improvements for stateful services and relational database platforms (e.g., PostgreSQL, MySQL/InnoDB, Amazon Aurora)
- Assist in maintaining hybrid infrastructure across on-prem and AWS environments
- Implement and maintain infrastructure-as-code using tools such as Terraform and Ansible
- Support containerized applications, including building, deploying, and debugging Docker-based workloads
- Help improve alert quality and reduce noise to support effective incident response
- Support internal platform efforts, including development environments and shared infrastructure services
- Collaborate with engineers across hardware, software, and infrastructure teams to resolve issues and improve system reliability
- Contribute to automation efforts to reduce manual operational work and improve consistency across environments
Requirements:
- Bachelor's degree in computer science, Engineering, or equivalent practical experience
- 3+ years of experience in DevOps, infrastructure, systems engineering, or a related field
- Strong Linux fundamentals and troubleshooting skills in distributed environments
- Hands-on experience with AWS and cloud-based infrastructure
- Experience working with CI/CD systems (e.g., GitHub Actions)
- Experience with infrastructure-as-code tools such as Terraform
- Familiarity with containerization using Docker and deploying containerized applications
- Exposure to Kubernetes concepts and container orchestration environments
- Experience with monitoring and observability tools (e.g., Zabbix, CloudWatch, OpenSearch, Grafana)
- Familiarity with relational databases (e.g., PostgreSQL, MySQL/InnoDB, Amazon Aurora), including basic performance troubleshooting, connectivity, and operational considerations
- Scripting experience (e.g., Python, Bash) to support automation and debugging
- Solid understanding of networking fundamentals (e.g., DNS, routing, firewalls)
- Strong problem-solving skills and ability to debug issues across multiple systems
- Comfort working in a fast-moving environment with evolving systems and priorities
- Desire to learn and grow in areas such as Kubernetes, observability, infrastructure automation, and platform reliability