Intermediate DevOps Engineer

Job Description: • Plan, deploy, and maintain critical business applications • Collaborate with senior engineers and cross-functional partners • Assist in maintaining and improving the Kubernetes cluster • Own scoped reliability-project tasks • Support continuous deployment through cloud solutions • Identify recurring operational issues and remediate them through problem management • Use open-source technologies and orchestration tools to support scalable, reliable infrastructure • Build and operate infrastructure for Engineering’s AI initiatives, including AWS AI services such as Amazon Bedrock and AI/LLM workloads • Write automation and tooling in Python, Bash, or similar languages • Configure and manage databases such as MySQL • Improve CI/CD pipelines and deployment processes • Strengthen monitoring, alerting, and observability • Collaborate across teams in shared source-code repositories • Participate in the shared on-call rotation and respond to production incidents • Adopt and apply AI tools to solve customer and business problems Requirements: • Bachelor’s Degree or equivalent experience required • 2–4 years of professional experience in DevOps, Site Reliability, or Infrastructure roles • Strong problem-solving and communication skills • Solid understanding of DevOps fundamentals • Hands-on experience with Kubernetes or other orchestration tools • Experience with cloud infrastructure concepts • Experience with CI/CD pipelines • Experience managing cloud resources with Terraform • Basic knowledge of Terraform modules and workspaces • Experience with monitoring and alerting tools such as Datadog, Prometheus, Grafana, or CloudWatch • Familiarity with JIRA or similar task-management tools • Foundational Linux/Unix administration knowledge • Ability to use open-source technologies and cloud services • Understanding of Go, Python, or Shell scripting • Familiarity with DNS, IP addressing, and ACLs • MySQL and Redis management knowledge • Foundational understanding of AI tools and large language models • Hands-on use of AI coding agents for infrastructure-as-code, scripting, or troubleshooting • General banking/financial-institution experience or knowledge would be an asset Benefits: • Flex-time and flex-days through Cabana Days • Supported, flexible work environment • Supported professional development, learning, and career opportunities • Regular 1:1 coaching with your leader and connection to the executive team • Health and dental benefits, virtual care, and disability top-up starting from day 1 • Virtual mental health and EAP platform • WealthSimple GRSP and matching • Annual Wellness Benefit ($1000 per year) • Opportunity to work remotely anywhere in Canada • Employee Options • Internet subsidy on each paycheck • Tiki Bucks Incentive Program and bonuses • Competitive salaries • Performance Acceleration program with annual performance and compensation reviews