Cloud Engineer

• Deploy cloud infrastructure and services on Google Cloud Platform
• Develop, maintain, and monitor production infrastructure operating 24/7/365
• Produce secure, scalable, automated, and well-documented systems
• Train others to take on operations
• Collaborate with Engineering teams to deploy and support customer-facing web applications
• Ensure backup functionality and consistency, including restoration processes and data recovery plans for disaster recovery
• Provide DBA support, including installations, upgrades, database loading, migrations, and testing
• Troubleshoot and resolve database and server problems
• Perform backup and recovery of local and remote replicated databases
• Create and verify data backups, including configuration data in critical environments
• Communicate timelines, service dependencies, resource constraints, and progress with key stakeholders
• Maintain technical infrastructure for business continuity and disaster recovery plans
• Organize and coordinate Disaster Recovery drills and tabletops
• Develop and improve infrastructure and application performance monitoring and alerting systems
• Provide platform support through a 24/7 on-call rotation

Senior Cloud Engineer

• Architect, secure, maintain, and optimize highly available, cost-efficient AWS cloud infrastructure
• Configure and maintain AWS networking, including VPCs, subnets, and route tables
• Manage, optimize, monitor, and scale AWS Kubernetes clusters
• Architect, implement, and maintain secure CI/CD pipelines using ArgoCD and GitHub Actions
• Write, modularize, and maintain Helm charts and platform templates for developer self-service
• Configure and manage Istio service mesh architecture for secure traffic flow, encryption, and advanced routing
• Codify and maintain cloud resources with Terraform across staging and production
• Identify infrastructure and process bottlenecks and improve deployment automation
• Collaborate with engineering teams to support reliability, scalability, and developer velocity

Senior Platform Engineer, AWS

• Design, build, and maintain scalable cloud infrastructure using Infrastructure as Code, primarily Terraform
• Deploy and manage Compute Engine, Google Kubernetes Engine clusters, Cloud Run, and Cloud Functions
• Configure and maintain VPCs, subnetting, firewall rules, VPN/Interconnect, Cloud Load Balancing, certificate management, and Cloud DNS
• Administer compute resources across Compute Engine, Cloud Run, and Cloud SQL
• Implement and assist in managing IAM roles and permissions following least privilege
• Manage secrets with GCP Secret Manager
• Manage Cloud Armor and Identity-Aware Proxy
• Use Security Command Center to identify and remediate vulnerabilities
• Help ensure the environment meets standards such as SOC2
• Establish monitoring and alerting using Google Cloud Observability
• Develop and test backup and disaster recovery strategies
• Perform system patching and image hardening
• Monitor cloud consumption and implement cost-saving measures
• Establish billing alerts and resource-labeling standards
• Lead migration of on-premises batch scheduling workloads to GCP Composer/Apache Airflow
• Design and implement scalable DAGs for data pipelines and batch jobs
• Analyze legacy schedules for parallelization, optimization, and modernization
• Manage cutover events with zero data loss and minimal downtime
• Participate in on-call support and emergency troubleshooting

GCP Cloud Engineer

• Provide technical guidance on the deployment of OpenStack at scale
• Resolve and troubleshoot technical issues related to OpenStack
• Assist with the deployment and implementation of the OpenStack solution
• Provide architectural guidance related to the OpenStack environment
• Work with technical stakeholders to support successful solution implementation
• Provide OpenStack subject matter expertise throughout deployment and technical decision-making

OpenStack Cloud Engineer – Consultant

• Review interface specifications, payloads, APIs, file formats, mappings, transformations, validations, and orchestration steps
• Configure or develop approved Oracle Integration Cloud components, reusable routines, validation rules, error messages, and exception-handling logic
• Work with Oracle Fusion Cloud integration surfaces including REST and SOAP web services, ERP Integration Service, FBDI, and business events
• Apply coding, naming, version control, security, logging, and deployment standards
• Support the Azure and Snowflake posting path into the Oracle general ledger, including reconciliation evidence
• Confirm build estimates, technical dependencies, reusable components, and development sequencing
• Develop and support BI Publisher and OTBI reports and extracts
• Build and maintain upgrade-safe Fusion Cloud extensions and personalizations
• Configure and maintain Fusion security elements, including role design support, data access sets, and segregation of duties
• Write and maintain SQL and PL/SQL for profiling, validation, reconciliation, and troubleshooting
• Implement integration security using OAuth, certificates, service accounts, keys, wallets, and credentials
• Maintain technical design documentation
• Prepare test data and scripts for normal, negative, duplicate, retry, recovery, security, volume, and reconciliation scenarios
• Execute unit, system integration, end-to-end, regression, performance, and recovery testing
• Reconcile test results and obtain business data-owner acceptance
• Investigate defects, implement fixes, retest, and close issues with supporting evidence
• Support production deployment, cutover, smoke testing, monitoring, and stabilization
• Move configuration and technical objects between environments
• Produce code documentation, deployment instructions, operating procedures, troubleshooting guidance, and support runbooks
• Support knowledge transition and onboarding of the managed support partner
• Provide in-house technical support for retained integration and infrastructure scope
• Build and maintain monitoring, alerting, error queues, and replay mechanisms
• Provide active support during hypercare, month-end close, and year-end
• Collaborate with the Oracle Cloud Technical Architect, functional leads, systems integrator, security and enterprise architecture teams, and managed support partner
• Report to the Director, Oracle Solutions

Oracle Cloud Developer

• Manage all aspects of Kubernetes and Docker containers
• Provide production support, administration, testing, and documentation for cloud technology, tools, and continuous delivery
• Triage and resolve reported incidents promptly with minimal business impact
• Create, implement, and manage cloud deployments using Kubernetes and Docker
• Manage cloud platform operations including monitoring, disaster recovery, security compliance/auditing, networking, storage, service brokers, and build packs
• Develop configuration and deployment automation to improve platform functionality, availability, and manageability
• Set up administrator and service accounts, maintain system documentation, and troubleshoot issues
• Use scripting tools to automate processes
• Develop and implement infrastructure-operation strategies, action plans, programs, and solutions aligned with business needs, compliance requirements, and best practices
• Develop performance indicators and monitoring methods; identify problems and make recommendations to management
• Maintain primary and disaster recovery sites
• Coordinate with development and technical support teams to resolve operational issues
• Execute project tasks under the direction of the IT Director and according to project plans
• Research new technologies and provide technical expertise to the IT Director
• Work with IT Administrators and vendors to maintain applications, servers, and systems according to bank policies and procedures

Cloud Platform Engineer

• Design and implement infrastructure for the complete AI lifecycle, including data pipelines, model training, experimentation, deployment, and monitoring
• Architect scalable solutions for AI workloads and automations
• Document and implement AI design patterns, including microservices, model serving architectures, and automations
• Design, build, and optimize infrastructure for large language models and workflow automations
• Select and design vector databases and embedding systems for RAG and semantic search applications
• Lead architecture, technology design, and deployment projects using appropriate methodologies to develop production-ready cloud solutions
• Supervise and validate project team members' work implementing AI-based solutions
• Support application/infrastructure solution architecture in AWS
• Design, migrate, and implement complex, robust, and cost-effective AWS and Flexspring cloud infrastructure solutions
• Establish cloud strategy focused on cost optimization, resource utilization, IAM, security posture, and governance
• Create architectural diagrams, project plans, technical documentation, and technology roadmaps; present designs in Architecture Review Board meetings
• Collaborate with IT security on security policies, standards, and guidelines
• Ensure cloud solutions follow security and compliance controls and company standards
• Maintain expert knowledge of commercial cloud platforms
• Train and mentor colleagues and distribute critical knowledge among team members
• Provide technical leadership and architectural support for secure, scalable cloud capabilities and third-party integrations
• Participate in hiring evaluations for cloud infrastructure team candidates
• Foster transparency, automation, continuous improvement, and technical excellence

Cloud Architect

• Design, develop, and deploy distributed systems and applications for R | V Tech's Cloud Gateway Platform, focusing on scalability, reliability, and performance
• Work with event-driven architectures using technologies like Kafka and Redis
• Collaborate with cross-functional teams to translate system requirements into scalable technical solutions
• Write high-quality, maintainable code and ensure robust test coverage
• Implement, monitor, and debug applications to ensure high availability and low latency
• Develop, deploy, and maintain solutions on cloud platforms, particularly AWS
• Manage and optimize message brokers and implement streaming and queuing solutions
• Identify and address performance bottlenecks, scalability challenges, and production issues
• Participate in an on-call rotation to address production issues during off-hours
• Maintain comprehensive documentation for systems, processes, and tools
• Continuously improve CI/CD pipelines, monitoring, and alerting systems

Senior Software Engineer – Cloud Gateway

• Design and plan the organization’s cloud architectures
• Define cloud architecture standards and strategic direction
• Evaluate and select appropriate cloud services
• Ensure solutions align with the organization’s technology strategy
• Support technical teams in implementing cloud solutions
• Optimize the performance, costs, and resilience of cloud platforms
• Contribute to the governance, security, and compliance of cloud environments
• Participate in managing technology risks related to cloud platforms
• Produce and maintain architecture and operations documentation
• Continuously monitor cloud solutions and industry best practices

• Define technical strategy and lead architectural design across cloud, data, and AI/ML systems for end-to-end engagements
• Architect scalable cloud-native solutions, including multi-cloud and hybrid strategies
• Design data architectures including warehouses, data lakes, and batch and streaming pipelines
• Design AI/ML systems including model serving, MLOps pipelines, feature stores, and LLM-based applications
• Define infrastructure-as-code, CI/CD, and DevOps standards
• Drive performance, scalability, cost, and reliability optimization
• Ensure architecture meets security, governance, and compliance requirements
• Lead cloud migrations and platform modernization initiatives
• Use AI-forward tools such as Claude and Cursor to deliver quality work efficiently
• Partner with leadership and clients on technical direction and translate business goals into architectural decisions
• Communicate complex technical concepts to engineering and non-engineering stakeholders
• Collaborate with engineering, data, AI, and product teams
• Develop and maintain architecture documentation, standards, and guidelines
• Establish architectural standards and best practices
• Mentor junior and mid-level engineers
• Act as a technical escalation point for complex architectural and integration challenges
• Evaluate emerging technologies and recommend tools, frameworks, and patterns

Cloud Engineer jobs in Canada

Senior Cloud Engineer

Senior Platform Engineer, AWS

GCP Cloud Engineer

OpenStack Cloud Engineer – Consultant

Oracle Cloud Developer

Cloud Platform Engineer

Cloud Architect

Senior Software Engineer – Cloud Gateway

Cloud Architect

Staff Cloud Architect – L4