Cloud Engineer

• Build and maintain mobile application features, primarily using Flutter.
• Contribute across the full stack, including mobile, frontend, backend, APIs, cloud infrastructure, and integrations.
• Design, develop, and maintain backend infrastructure on Google Cloud Platform and Firebase.
• Build robust server-side logic using Node.js and Cloud Functions in a serverless architecture.
• Model, manage, and optimize Firestore databases for performance, reliability, and scalability.
• Develop and maintain RESTful APIs and third-party integrations.
• Collaborate closely with developers, QA, product, and design teams to deliver high-quality features end to end.
• Partner with product to define technical solutions that are scalable, pragmatic, and aligned with business goals.
• Coordinate implementation across mobile, frontend, backend, and QA dependencies.
• Support deployments and help ensure smooth delivery across environments.
• Monitor, debug, and improve system performance, reliability, observability, and error handling.
• Investigate production issues and contribute to durable fixes.
• Contribute to improving engineering practices, tooling, documentation, and overall development velocity.
• Use AI tools thoughtfully to accelerate development, improve documentation, explore solutions, and support maintainable system design.

Full-Stack Software Engineer – Mobile, Cloud Focus

• Establish core cloud security solutions across RBC's cloud environments
• Design and build cloud security services using automation, TDD principles, and Infrastructure as Code (IaC)
• Implement SRE practices to enhance operational processes and reliability
• Support all cloud security applications, configurations, and integrations
• Be the cloud security subject matter expert in any IaaS, PaaS, and SaaS implementations
• Assess all cloud patterns to ensure adherence to best security practices and controls
• Develop security coverage reports to identify gaps and enhance the cloud security strategy
• Lead and participate in delivering end-to-end integrated solutions
• Participate in on-call rotations to provide after-hours support for critical systems

Staff Cloud Security Engineer – Global Security

• Design, configure, administer, maintain, develop, and upgrade products, libraries, software, business solutions, computer networks, management systems, and medium- to large-scale database servers
• Analyze and diagnose complex issues related to the development, administration, and stability of IT systems
• Provide opinions and recommend solutions to improve and optimize standards, policies, and programs
• Propose implementation plans and coordinate the planning, design, and execution of projects
• Identify and analyze information and data required to support testing phases and implementation strategies
• Respond quickly in situations requiring urgent action when incidents affect environmental stability

Azure Data Platform Administrator

• Contribute to maturing our cloud security posture management practice across our cloud environments
• Ship CI/CD security integrations that developers actually use
• Partner with infrastructure enablement and product teams to embed security into the workflows they already use
• Help shape our AI security programme at scale
• Participate in the on-call rotation and build runbook quality and post-incident reviews

Cloud Security Engineer

• Designing, implementing, and automating security controls across cloud and AI environments, ensuring secure-by-default architecture, continuous compliance, and protection against evolving threats
• Implement and operate AI Security Posture Management (AI SPM) solutions, including Cloud security posture management to continuously assess, detect, and remediate risks across AI and cloud environments
• Secure AI and Generative AI workloads, including model pipelines, training data, inference APIs, and LLM integrations against threats such as prompt injection, data leakage, model abuse, and adversarial attacks
• Design and implement AI SPM controls to provide visibility into AI assets, monitor model usage and access patterns, enforce security guardrails, and manage AI risks across the full lifecycle
• Embed security into CI/CD and MLOps pipelines (DevSecOps) using automated controls such as SAST/DAST, IaC scanning, secrets detection, and compliance enforcement gates
• Develop and maintain security policies and policy-as-code frameworks (e.g., Azure Policy) to enforce governance, regulatory compliance, and responsible AI usage
• Engineer monitoring, detection, and response capabilities for cloud and AI systems, integrating telemetry with SIEM/SOAR platforms for centralized visibility and automated response
• Perform security testing and validation across cloud, application, API, and AI layers, including AI-specific scenarios such as prompt injection and model misuse prior to production deployment
• Automate security operations through scripting and tooling (e.g., Python, PowerShell) to improve efficiency, scalability, and consistency of controls
• Conduct risk assessments, threat modeling, and security reviews for cloud infrastructure and AI systems to identify vulnerabilities and implement mitigation strategies
• Collaborate with AI teams and security stakeholders to drive secure-by-design architectures and enable scalable, governed AI adoption

Senior AI Cloud Security Engineer

• Manage and optimize AWS services including ECS, Lambda, RDS, S3, CloudFront, and VPC configurations.
• Implement AWS best practices for security, performance, and cost optimization.
• Monitor and maintain system health across multiple environments (dev, staging, production).
• Conduct regular infrastructure audits and implement improvements.
• Design, implement, and maintain infrastructure using Pulumi.
• Automate infrastructure provisioning and configuration management.
• Manage environment configurations across dev, staging, and production.
• Implement version control and code review processes for infrastructure changes.
• Develop reusable infrastructure components and modules.
• Design, implement, and maintain disaster recovery plans for critical systems and databases.
• Develop and execute backup strategies for RDS databases, S3 data, and application configurations.
• Conduct regular DR drills and validate recovery procedures.
• Document and maintain runbooks for disaster recovery scenarios.
• Implement multi-region failover strategies for high-availability services.
• Perform routine system maintenance including patching, updates, and security hardening.
• Manage database maintenance tasks including backups, performance tuning, and capacity planning.
• Monitor system performance and proactively address potential issues.
• Coordinate maintenance windows and communicate with stakeholders.
• Maintain and rotate secrets, certificates, and access credentials.
• Support application deployments for Angular containers, NestJS servers, and Java Spring Boot services.
• Manage Docker container deployments to AWS ECS and serverless environments.
• Coordinate release of deployments and provide rollback support when needed.
• Maintain deployment documentation and standard operating procedures.
• Implement and maintain AWS security best practices including IAM policies, security groups, and encryption.
• Conduct regular security assessments and vulnerability remediation.
• Ensure compliance with industry standards for banking and financial services integrations.
• Manage access controls and audit logging across AWS environments.
• Maintain comprehensive monitoring solutions using CloudWatch, application logs, and custom metrics.
• Configure and tune alerting thresholds for infrastructure and application health.
• Participate in on-call rotation for production incidents.
• Conduct post-incident reviews and implement preventative measures.
• Monitor and optimize AWS costs through resource right sizing and reserved capacity planning.
• Identify and eliminate unused or underutilized resources.
• Implement cost allocation tags and provide cost reporting to stakeholders.
• Create and maintain operational documentation, runbooks, and architecture diagrams.
• Document system configurations, procedures, and troubleshooting guides.
• Share knowledge with development and operations teams through training and mentorship.
• Work closely with SRE team on infrastructure reliability and incident response.
• Partner with development teams to understand operational requirements.
• Collaborate with security team on compliance and vulnerability management.
• Participate in Scrum ceremonies and contribute to operational planning.

Senior AWS Cloud Engineer

• Build and enhance core banking loan servicing platform
• Design APIs and backend services that support complex workflows
• Develop user-facing applications with strong focus on usability and performance
• Work on data-driven systems, integrations, and orchestration layers
• Contribute to modernization initiatives (API-first, cloud, event-driven architecture)
• Explore and implement AI-assisted features (automation, insights, intelligent workflows) where appropriate
• Design, build, and support end-to-end applications across frontend, backend, and integration layers
• Translate business requirements into scalable technical solutions
• Take ownership of features from design through production and support
• Collaborate with product, architecture, and business teams to solve complex domain problems
• Build robust microservices/APIs using Java / Node / Python
• Develop intuitive frontend applications ( Angular)

Software Developer – Java, AWS, PL/SQL

• Working with customers and internal stakeholders, defining customer solutions, and delivering engagements that are innovative and exceed business requirements
• Continuously improve team processes to ensure information is of the highest quality, contributing to the overall effectiveness of the team
• Ensure technology designs and implementations solve clients’ requirements and challenges
• Design, and implement standard or custom technical solutions
• Develop complete customer-focused technology solutions for current and new service offerings, considering all aspects of architecture including business and technical requirements, sizing, infrastructure, data protection, security and recovery items
• Create relevant documentation as required including conceptual design, logical and physical designs, bill of materials, as-built diagrams, knowledge transfer materials, FAQs, and transition to operations information
• Collaborate with other team members to develop and enhance deliverables
• Provide pre-sales technical assistance, demonstrations, and product education as required
• Meet with clients to determine needs and/or identify problem areas
• Develop estimates, Statements of Work (SOWs) and proposals which outline professional services required to meet client requirements
• Represent Long View at vendor and industry events as required
• Participate and contribute including sharing learnings and information with the larger Long View team that is not present at the event
• Assist with hosting presentations and/or education sessions such as Lunch & Learns
• Align with clients to build long term relationships that further business value for both the client and Long View
• Analyze complex requirements and develop IT strategies and multi-technology solutions that are aligned with industry-accepted best practices
• Stay abreast of architectural and industry changes, especially in the areas of Cloud

Cloud Architect

• Develop, build, operate, and improve Azure-based platform, services and cloud environments
• Support containerized workloads running on Azure Kubernetes platforms (AKS), Azure VM and related runtime patterns
• Help engineer and maintain platform components such as Azure Blob Storage, Azure File Share, Event Grid, Event Hubs, Key Vault, API Management and other Azure Cloud services
• Contribute to DevOps and platform engineering practices including CI/CD pipelines, deployment automation, environment management, monitoring and operational mandate
• Support event-driven and scheduled workload patterns across platform services and compute environments
• Partner with application, data and analytics teams to onboard workloads onto shared platform capabilities
• Troubleshoot incidents, deployment issues, scaling problems, and integration failures in lower and production environments
• Improve observability, reliability, security, and cost discipline across the platform
• Support Kubernetes-based application development, deployment, configuration, scaling, and troubleshooting
• Assist with platform automation for build, release, configuration, and environment setup
• Help maintain secure secrets, identity, and access patterns using services such as Azure Key Vault and managed identity
• Contribute to monitoring and operational tooling using Azure-native observability and logging solutions
• Work with senior engineers to improve platform standards, reusable patterns, and self-service capabilities
• Handle provision and Azure resources request process
• Participate in production support, root cause analysis, and follow-up remediation work
• Document technical designs, runbooks, and platform operating procedures clearly

Cloud & Platform Engineer

• Own and define a compelling vision for the Service Cloud ecosystem
• Partner with business stakeholders to create and execute strategy, roadmap, and goals
• Lead prioritization, grooming, maintenance, and health of the product backlog
• Translate high-level strategic priorities into clear, actionable, and high-quality user stories and tasks for the engineering team
• Work closely with global development teams to ensure timely and accurate delivery
• Participate in sprint planning and reviews
• Provide clarifications and decisions promptly to keep the development process moving efficiently
• Partner with CX/UX to design intuitive journeys
• Define and track product KPIs to measure success and drive continuous improvement
• Partner strategically with Customer Service, Finance, Supply Chain, Marketing, Sales, and IT

Service Cloud Product Owner

• This role sits at the centre of a multi year Azure migration programme, moving several core products from legacy data centres into a modern cloud platform.
• As IT Infrastructure Manager for Cloud Platform, you will be responsible for how these environments are operated, standardised and scaled once delivered.
• You will lead the cloud platform team to bring consistency across AWS and Azure, moving from varied legacy practices to a single operating model built around automation, Infrastructure as Code and aligned delivery pipelines. This is not a pure build role. It focuses on making cloud platforms reliable, supportable and ready for long term product growth.
• This role suits someone currently operating as a Cloud Platform Manager, Lead Cloud Engineer or Infrastructure Manager in an enterprise or SaaS environment, who wants broader ownership. It offers exposure to a defined transformation programme, but with long term responsibility for platform operations and standards beyond the initial migration.

IT Infrastructure Manager, Cloud Platform

• Support infrastructure that development teams use to own and operate their services at Mozilla.
• Guide technical decision-making and adoption of user-centric solutions.
• Create Claude skills and design agentic workflows that improve developer productivity
• Guide team members and promote engineering standard methodologies, with a focus on usability and maintainability.
• Facilitate cross-functional collaboration for efficient and cohesive platform delivery.
• Write proposals and decision briefs for new policies, processes, and platform functionality.
• Create new features for the platform with a meaningful value proposition
• Be trusted to resolve unclear but urgent tasks.

Senior Software Engineer, Cloud Engineering

• Support Data Mesh migrations and client onboarding while collaborating on data requirements
• Configure and prepare data for ingestion into the Data Mesh
• Learn data querying tools (Snowflake, Starburst Trino, Athena) and security processes (Macie)
• Gain hands-on experience with cloud technologies like Amazon Web Services (AWS), Platform as a Service (PaaS), and Software as a Service (SaaS)
• Assist in building and deploying infrastructure using Infrastructure as Code (IAC) tools like Terraform and CloudFormation
• Learn about and support data science and AI tools such as Sagemaker, RStudio, and AWS Analytic Services (e.g., Textract, Bedrock, Kendra, Comprehend)
• Participate in an Agile team environment, supporting analytic products and contributing to key projects
• Document processes, manage work with JIRA, and help implement consistent standards and procedures
• Learn DevOps methodologies and develop basic scripts for Windows and Linux platform
• Collaborate with team members and stakeholders to enable AWS features for data science and AI applications
• Contribute ideas for process improvements and innovative solutions

Cloud Infrastructure Analyst, Student

• Understand client requirements and lead the creation of robust data platforms leveraging Data Lakehouse architectures, serving as the primary subject matter expert for the Azure data ecosystem (Microsoft Fabric, Azure SQL, and Power BI).
• Design and implement scalable data models, ETL/ELT pipelines, and analytics layers using modern cloud ecosystems.
• Architect Microsoft Fabric reporting solutions, establishing medallion layering, managing capacity planning, ensuring freshness governance, and configuring CDC/mirroring from Azure SQL into Fabric.
• Enforce strict data-layer segregation ensuring PII is excluded by construction, maintaining multi-tenant isolation within the analytics layer, and strictly adhering to 10+ year regulated data retention policies.
• Lead complex migration efforts off legacy systems (e.g., AirTable, Smartsheet) to Microsoft Fabric, effectively managing mid-program form and rule drift, and establishing reliable, per-client export channels.
• Lead end-to-end analytics projects — from requirement gathering to deployment.
• Mentor junior team members, perform code reviews, and ensure adherence to quality standards.
• Work closely with cross-functional teams (engineering, product, business) to align data strategy with business goals.
• Develop and optimize complex SQL queries, Power BI semantic models, dashboards, and reports (transitioning from legacy LookML/BigQuery paradigms).
• Troubleshoot performance bottlenecks, data inconsistencies, and integration challenges.
• Stay up to date with advancements in the analytics and cloud data ecosystem.
• Drive innovation in reporting and analytics capabilities.
• Recommend and implement new tools, frameworks, and practices to enhance the data platform.
• Define best practices, coding standards, and governance for analytics projects.
• Monitor data systems performance and implement optimization strategies.
• Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
• Build and oversee AI-ready data pipelines, focused on feeding scrubbed, segmented data to assistive AI and integrating GenAI into analytics and data products.
• Drive adoption of AI-assisted data engineering across the team: copilots for SQL/transformation/pipeline code, plus automated testing and documentation.
• Define governance and quality standards for data consumed by LLMs and agents.

Lead Azure Data Engineer

• Design, develop, and maintain scalable backend services in C#/.NET.
• Develop robust RESTful APIs to process IoT data and user requests.
• Design and maintain secure, scalable cloud environments on AWS and Azure.
• Contribute to CI/CD pipelines using Azure DevOps and GitHub Actions.
• Work closely with product and IoT teams.
• Monitor performance, reliability, and cost of cloud services.
• Write and maintain Pulumi code to automate cloud resource provisioning.

Cloud Developer

• Write efficient, readable, maintainable, and testable client-side code using TypeScript, JavaScript and various frameworks
• Create unit tests, sometimes integration and performance tests
• Review your peers' code
• Solve challenging problems with a great attention to user experience, security and performance
• Cooperate with product managers, designers, software developers, QA engineers, and technical writers to develop and maintain the best Atlassian plugins that are used by thousands of people in many big-name companies around the world

Senior Full Stack Developer – Cloud

• Design, build, deploy, and maintain cloud infrastructure supporting enterprise applications and services
• Develop innovative, cloud-centric solutions and document platform designs, ensuring optimized performance, security alignment, and operational readiness
• Maintain a highly available server and infrastructure environment, including OS updates, configuration management, and system tuning
• Troubleshoot and resolve complex or escalated technical issues within cloud platforms
• Plan, conduct, and evaluate tests for IaaS cloud systems to ensure reliability and performance
• Perform ongoing performance tuning, capacity management, hardware upgrades, and resource optimization for cloud infrastructure
• Support the implementation and maintenance of Infrastructure as Code (IaC) practices
• Contribute to automation initiatives that improve efficiency for infrastructure provisioning, monitoring, and operational tasks.

Cloud Platform Engineer – Intermediate

• Building large scale systems and creating robust and scalable platforms
• Designing, implementing, and supporting foundational elements of holistic solutions across data transport, collection, and orchestration layers
• Collaborating with cross-functional teams to create resilient and scalable platform for application development and delivery

Senior Cloud Platform Engineer

• Be an active member of the Flow Capture engineering team and contribute to the development of features that improve collaboration, review, resource management, and production workflows for our customers.
• Contribute to the development of modern web applications and services used by creative professionals in film, television, animation, video games, and other multimedia production environments.
• Participate in iterative design, testing, and development sprints to refine product solutions and deliver high-quality software.
• Collaborate with software engineers, product managers, UX designers, quality assurance specialists, and other stakeholders to understand customer needs and turn ideas into working features.
• Write clear, maintainable, and well-tested code while learning industry-standard software development practices.

Intern Cloud Developer

• Work within a scrum team with about 7-8 engineers
• Can lead to accomplish customer/project requirements from PO/PM
• Can drive and foster the collaboration with other scrum teams located in Canada or in other sites around the world
• As the primary developer, boldly lead to design, implement, test and deliver any MFGDM modules/components/services.
• Can help the team to remove obstacles, drive solutions for challenges, predict risks, and figure out a mitigation plan
• Can communicate effectively with stakeholders in different phases in terms of requirements clarification, solution/planning review, status/progress sharing etc.
• Can consistently demonstrate the sense of engineering excellence and lead or contribute to make positive impact to teams’ deliveries with high quality.
• Can lead Applied AI in product delivery: Use AI coding agents to accelerate delivery of production features and fixes, with rigorous verification (tests, CI, code review) and security-aware usage
• Drive Applied AI best practice into team/product and promote our best practice/achievement to outside, so other engineers can adopt AI-first workflows productively and safely

Cloud Engineer jobs in Canada

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