7 results for Cloud Computing Analyst jobs
Cyber Security Analyst
- Ottawa, ON
- remote
- Temporary
-
80 - 90 CAD / Hourly
- <p>We are looking for an experienced Cyber Security Analyst to support security operations to join our clients team. This Contract opportunity is ideal for a senior detail-oriented candidate who can work part-time hours while taking ownership of live monitoring, threat investigation, and timely incident response. The role suits someone who is comfortable working hands-on with Darktrace and related security technologies to strengthen detection capabilities and maintain a strong security posture.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Oversee day-to-day security monitoring activities and assess alerts to identify suspicious behaviour, emerging risks, and potential incidents.</p><p>• Use Darktrace and other security tools to investigate anomalies, validate threats, and recommend appropriate containment or remediation actions.</p><p>• Respond to cyber security events in real time, coordinate triage efforts, and support resolution to reduce operational impact.</p><p>• Review firewall, network, and cloud security configurations to improve protection across the environment.</p><p>• Analyze threat intelligence and security trends to refine detection approaches and strengthen defensive measures.</p><p>• Troubleshoot security issues across SOC-related processes, infrastructure, and technologies to maintain effective operations.</p><p>• Collaborate with internal stakeholders to document findings, communicate risk, and support ongoing security improvements.</p><p>• Contribute to configuration and quality management practices that enhance the reliability and effectiveness of security controls.</p>
- 2026-08-05T00:00:00Z
Senior Cloud Engineer
- Toronto, ON
- onsite
- Permanent
-
120000 - 140000 CAD / Yearly
- <p><u>This job posting is for a current vacancy with our client.</u></p><p><br></p><p>Join a growing financial services organization that powers innovative payments, lending, and banking solutions. We are looking for a Senior Cloud Engineer to help design, build, and support a secure, scalable, and highly available cloud infrastructure.</p><p><br></p><p>You will play a key role in modernizing cloud operations, improving system reliability, strengthening security controls, and enabling development teams to deliver applications efficiently and securely.</p><p><br></p><p>What you will do and how you will make an impact …</p><p><br></p><p>You will be responsible for maintaining and advancing the organization's cloud infrastructure while ensuring reliability, security, and operational excellence.</p><p><br></p><ul><li>Design, deploy, and manage scalable, secure AWS cloud environments using industry best practices.</li><li>Build and maintain Infrastructure-as-Code solutions using Terraform to automate provisioning and configuration management.</li><li>Implement and support cloud security controls, governance frameworks, auditing processes, and compliance requirements.</li><li>Collaborate with development teams to containerize applications and optimize deployment processes utilizing Docker and cloud-native technologies.</li><li>Monitor system health, performance, and availability while proactively identifying and resolving issues before they impact the business.</li><li>Lead incident response efforts, coordinate cross-functional teams during outages, and drive root cause analysis and remediation activities.</li><li>Develop automation tools, scripts, and operational workflows to improve efficiency and reduce manual effort.</li><li>Implement monitoring, alerting, and automated remediation solutions to ensure system reliability.</li><li>Support complex networking environments, including hybrid cloud architectures and AWS networking services.</li></ul><p><br></p>
- 2026-08-10T00:00:00Z
Data Scientist
- Cambridge, ON
- onsite
- Temporary
-
55.4135 - 64.163 CAD / Hourly
- We are looking for a Data Scientist to join an automotive organization in Cambridge, Ontario on a Long-term Contract basis. This position centres on developing statistical and machine learning solutions that connect market information with sales and inventory performance. The successful candidate will combine strong analytical thinking with hands-on Python modelling to generate actionable business insights. You will work with modern data and BI tools to evaluate model effectiveness and strengthen data-driven decision-making.<br><br>Responsibilities:<br>• Design and refine statistical and machine learning models that link market trends with sales and inventory analysis.<br>• Analyze data pipelines and reporting inputs to ensure reliable information is available for modelling and performance evaluation.<br>• Build, test, and interpret models in Python using notebook-based workflows to support business analysis.<br>• Measure model outcomes using appropriate performance indicators and recommend adjustments to improve analytical value.<br>• Partner with business and analytics stakeholders to translate commercial questions into practical modelling approaches.<br>• Use BI and low-code analytical tools to present findings in a clear and decision-focused manner.<br>• Explore large-scale datasets using relevant big data and cloud technologies to uncover patterns and support forecasting activities.
- 2026-07-30T00:00:00Z
Data Analyst
- Toronto, ON
- onsite
- Temporary
-
28.5 - 33 CAD / Hourly
- We are looking for a Data Analyst to support fraud-focused analytics initiatives within a banking environment in Toronto, Ontario. This Long-term Contract opportunity is ideal for someone who can turn complex data into practical insights, strengthen fraud detection approaches, and work across technical and business teams. The role combines hands-on analysis with pipeline and reporting support, while partnering with stakeholders involved in lending, operations, and regulatory processes.<br><br>Responsibilities:<br>• Examine transactional, application, and behavioural data to uncover fraud trends, emerging risks, and actionable patterns.<br>• Write and optimize SQL-based analysis to support investigations, recurring reporting, and ad hoc business requests.<br>• Contribute to the design and refinement of fraud rules by translating analytical findings into practical detection logic.<br>• Support data engineering activities by helping build, validate, and maintain ETL workflows and dependable data pipelines.<br>• Work with large-scale data environments, including platforms such as Trino and Hive, to prepare and analyze banking data efficiently.<br>• Partner with business stakeholders to gather requirements, map processes, and align analytical outputs with branch and lending operations needs.<br>• Interpret lending data in the context of product structures, underwriting practices, and applicable compliance expectations.<br>• Assist with project delivery activities by coordinating analysis tasks, documenting outcomes, and supporting change-related work within financial services technology initiatives.
- 2026-07-20T00:00:00Z
Desktop Support Analyst
- New Westminster, BC
- onsite
- Temporary
-
22 - 25 CAD / Hourly
- <p><strong>Overview</strong></p><p>We are seeking a Desktop Support for a short-term part time engagement to provide day-to-day technical support in a small office environment (under 50 users). This role will focus on maintaining smooth operations, supporting end users, and managing a simple ticketing system.</p><p><br></p><p>This is a great opportunity for someone who enjoys straightforward support work in a well-documented environment with minimal complexity.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Provide Tier 1 / Tier 2 technical support to internal users (approximately 50 employees)</li><li>Manage and respond to support requests through a simple, open-source ticketing system</li><li>Troubleshoot common hardware, software, and connectivity issues</li><li>Support Microsoft Office applications and general desktop environments</li><li>Assist with basic user account management and access requests</li><li>Follow and leverage existing IT documentation to resolve issues efficiently</li><li>Perform light system maintenance and ensure smooth day-to-day IT operations</li></ul>
- 2026-08-05T00:00:00Z
Data Engineer
- North York, ON
- onsite
- Permanent
-
110000 - 125000 CAD / Yearly
- <p>We are looking for an experienced Data Engineer to build and enhance modern data solutions that support finance-focused business priorities in Toronto, Ontario. This position combines hands-on engineering with technical leadership to strengthen data pipelines, improve model consistency, and enable trusted reporting and advanced analytics. The successful candidate will help modernize legacy data environments within a cloud-based Lakehouse architecture while promoting strong governance, security, and scalability across enterprise data platforms.</p><p><br></p><p><strong>What you'll be working on:</strong></p><p>• Design, build, and maintain scalable data pipelines and integrations that support finance data products and downstream reporting needs.</p><p>• Lead the modernization of legacy finance data environments by moving critical datasets and workflows into Azure-based Lakehouse platforms.</p><p>• Develop reusable engineering frameworks and standardized data models to improve consistency, efficiency, and long-term maintainability.</p><p>• Collaborate with cross-functional stakeholders to connect finance data assets with broader enterprise platforms for analytics, planning, and AI-driven use cases.</p><p>• Apply data governance, security, and quality standards throughout the data lifecycle to ensure reliable and compliant solutions.</p><p>• Optimize data processing performance for large and complex datasets using tools such as Databricks, PySpark, and Azure-native services.</p><p>• Support the delivery and ongoing enhancement of business intelligence solutions, including data structures used for Power BI reporting.</p><p>• Contribute to platform administration and technical best practices across Azure data services, while documenting work and tracking delivery through project tools.</p><p>• Identify opportunities to streamline data processes and implement improvements that increase operational efficiency and solution reliability.</p>
- 2026-07-18T00:00:00Z
DevSecOps Engineer
- Kanata, ON
- onsite
- Temporary
-
49.4 - 57.2 CAD / Hourly
- We are looking for a DevSecOps Engineer to lead and strengthen an experienced compliance and security assurance program in Ottawa, Ontario. This Long-term Contract role is centred on expanding an established SOC 2 Type 2 framework beyond core security controls to include confidentiality and availability requirements, while maintaining a strong audit posture. The successful candidate will work closely with stakeholders to build practical controls, maintain continuous evidence collection, and support a resilient, well-governed cloud security environment.<br><br>Responsibilities:<br>• Lead the ongoing management and enhancement of the SOC 2 Type 2 program, with emphasis on broadening coverage to include Confidentiality and Availability Trust Services Criteria.<br>• Develop, implement, and refine controls related to data classification, secure handling of sensitive information, encryption standards, and role-based access practices.<br>• Establish and maintain operational controls that support service availability, including backup validation, disaster recovery readiness, capacity planning, and uptime oversight.<br>• Configure and maintain compliance evidence workflows within Vanta to ensure documentation remains current, accurate, and ready for audit review at all times.<br>• Act as the primary point of contact for external auditors, coordinate audit activities, and address control or evidence questions to minimize audit findings.<br>• Partner with technical and business teams to align cloud security practices, configuration management, and cyber security controls with compliance objectives.<br>• Assess firewall and network security environments, including technologies such as Check Point and Cisco ASA, to support secure infrastructure operations.<br>• Investigate security and operational issues, troubleshoot control gaps, and recommend corrective actions that improve compliance effectiveness and system resilience.
- 2026-08-05T00:00:00Z