Associate DevOps Engineer

We are BMO Capital Markets, a leading full-service financial services provider offering corporate and investment banking, treasury management, research, and advisory services to clients worldwide. You will join our Data Cognition Team, which delivers a scalable, customizable, and sustainable suite of AI-enabled products for multiple business units and uses advanced technologies to solve complex challenges across Investment Banking, Global Markets, and other divisions. This role is based at 100 King Street West. We offer a competitive base salary of CAD 90,000 to 120,000, along with a broader total compensation package that may include incentives, bonuses, health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. We also provide strong support for professional growth, training, coaching, network-building opportunities, and an inclusive, equitable, and accessible workplace.

- We require a university degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
- We need strong experience with cloud platforms such as AWS, Azure, or GCP.
- We look for hands-on expertise with Kubernetes, ArgoCD, and deploying services like Kafka, Druid, and OpenTelemetry.
- We require proficiency in programming languages including Python, Go, and Bash.
- We value experience with Infrastructure as Code tools such as Terraform, Helm, and Kustomize.
- We expect knowledge of cloud security frameworks and tools such as CSPM, DSPM, and ASPM.
- We require experience working in containerized environments and building OCI images.
- We look for familiarity with DevOps tools such as GitHub, GitLab CI, Jenkins, Prometheus, Grafana, Elasticsearch, and Kibana.
- We expect a strong understanding of security protocols including Kerberos, TLS, and OAuth2.
- We need excellent communication skills for effective collaboration with technical and business partners.
- Nice to have: CKA, CKAD, or cloud certifications from AWS, Azure, or GCP.
- Nice to have: experience with Generative AI, Agentic AI, or similar advanced AI technologies.

- We design and maintain end-to-end DevOps pipelines for AI and data applications, ensuring dependable performance and scalability.
- We strengthen build infrastructure for our internal data and analytics applications.
- We implement Infrastructure as Code for platform components and develop automation utilities to streamline platform operations.
- We maintain and upgrade server infrastructure, including multiple clusters.
- We improve monitoring across a range of applications and resolve infrastructure issues quickly.
- We integrate enterprise technologies for application releases and system connectivity.
- We stay up to date with new DevOps, AI/ML, and cloud technologies to continuously enhance our processes.