Serve as the technical design authority for MFSG's digital platforms and customer-facing experiences, translating business strategy into secure, scalable, and cost-effective solution architectures.
Compensation
The salary range for this position is between C$ 160,000.00 to $175,000.00
Responsibilities
Define end-to-end solution architectures for digital products, APIs, integrations, and data flows
Produce clear architecture artifacts, including context diagrams, sequence flows, integration maps, and decision records
Evaluate build, buy, and platform options, and recommend approaches based on business value, risk, and total cost of ownership
Prototype and validate architectural approaches to reduce delivery risk before committing teams to a direction
Embed secure-by-design principles, ensuring solutions protect sensitive financial and customer information
Requirements
Bachelor's degree in Computer Science, Software Engineering, or a related discipline
Nice to have: AWS Solutions Architect certification
As a Test Manager in PEU-RP you will as a technical leader develop and use agentic AI as tool to drive and define test analysis of new 5G and 6G RAN features, to secure the most efficient and effective testcoverage, which ensures product quality and an optimized product flow.
Compensation
The salary range for this position is
• Ottawa: $101,500CAD - $ 133,350CAD
Short-Term Variable Compensation Plan: Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit’s objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply.
Responsibilities
Drive test analysis of 5G and 6G RAN features from study through execution: set and communicate test scope, and secure test coverage and quality.
Identify the impact and risks of new features on test tools, forecast test environment requirements and follow up their implementation.
Drive the design, development and deployment of Agentic AI solutions for test, such as AI agents for test analysis, test case selection and generation and etc
Deploy, operate and scale AI solutions on AWS or other cloud platforms, in close collaboration with tools, CI/CD and infrastructure teams
Educate and support the organization on test strategy, efficient testing and the use of AI agents in the test flow
Requirements
M.Sc/B.Sc in Telecommunication/Electrical Engineering /Computer Science or equivalent experience
Nice to have: Production-grade AI engineering practice
Senior programmer in information security responsible for designing, building, and delivering enterprise-scale security platforms and automation solutions at Epic.
Responsibilities
Design and deploy enterprise-scale security platforms and services
Build and consolidate AI-driven security workflows
Integrate security tools, cloud platforms, and internal data sources
Prototype and transform experiments into durable products
Collaborate with security, platform, and programming teams to adopt solutions
The senior technical voice across Epic's developer platform, focusing on rebuilding and scaling systems (source control, CI/CD, build, artifact, database, and cloud infrastructure) to handle millions of agentic CICD actions per day.
Responsibilities
Set the forward-looking technical strategy and design for the developer platform
Define the strategy for software supply chain and pipeline security
Take on the hardest cross-team problems and see them through to a working solution
Stay hands-on by building prototypes, writing critical code, and reviewing designs
Write clear strategy documents, design proposals, and decision records
Requirements
Nice to have: Databases or data infrastructure at scale
Nice to have: Working with cloud providers and vendors on capacity, roadmap or commercial topics
Software Developer supporting the design, development, and modernization of cybersecurity technology solutions within the Cyber Data Risk & Resilience (CDRR) organization.
Responsibilities
Build scalable, resilient systems for the Cyber Security product portfolio
Partner with cross-functional stakeholders to support secure technology outcomes aligned with the portfolio roadmap
Lead engineering for a core enterprise security product portfolio, driving strategy, cloud architecture, AI adoption, quality, security, and organizational growth.
Locations (2)
Canada
United States
Responsibilities
Set the engineering strategy and technical vision for a portfolio of enterprise security products
Guide cloud architecture for the portfolio's SaaS offerings on AWS
Balance investment across deployment models
Partner with peer engineering leaders on shared services and common architecture
Lead the adoption of AI-assisted and agentic development across the organization
Requirements
Bachelor's degree in Computer Science, Software Engineering, or equivalent experience; Master's a plus
Nice to have: identity or privileged access management domain experience
Nice to have: experience leading teams building enterprise applications on .NET (C#)
Provide technical leadership for the administration, governance, and operational management of Air Canada’s Databricks platform and enterprise data integration platforms including Talend.
Responsibilities
Serve as Subject Matter Expert (SME) for Databricks, providing technical guidance, establishing platform standards and guardrails and supporting engineering teams in the adoption of platform capabilities and best practices.
Administer Databricks account and workspace configuration, identity and access, compute policies, monitoring, security and cost optimization.
Administer and govern Unity Catalog, including metastore configuration, catalogs, schemas, permissions, external locations, storage credentials, lineage and data access controls.
Drive automation of platform configuration, provisioning, policies, permissions and operational processes using Infrastructure as Code and CI/CD best practices.
Provide administration and operational support for enterprise data integration platforms, including Talend, covering access management, runtime environments, deployments, monitoring, upgrades, troubleshooting, and platform lifecycle management.
This is a hands-on senior engineering role focused on improving production resilience, strengthening security, driving operational excellence, and enhancing the developer experience across the organization.
Compensation
The annual base salary for this position is between $140,000 CAD and $155,000 CAD per year. This role is also eligible for discretionary bonus and/or commission, as well as other benefits.
Responsibilities
Drive reliability engineering initiatives and operational excellence for mission-critical services running on AWS and Kubernetes.
Design, implement, and continuously improve deployment, release, and rollback strategies across complex distributed systems.
Establish secure-by-default CI/CD pipelines with robust automation, governance, and policy-driven controls.
Enhance platform observability through metrics, logs, tracing, and actionable alerting to improve system visibility and operational efficiency.
Define, implement, and mature Service Level Indicators (SLIs), Service Level Objectives (SLOs), and reliability standards across the organization.
Lead the design, build, and deployment of agentic AI applications for finance clients, establishing technical foundations and standards for Clearsulting’s AI Services line.
Locations (2)
Toronto, Ontario, Canada
Ontario, Canada
Compensation
The compensation range for this position is $185,000 - 246,000 CAD. We are committed to ensuring our offers reflect the value each candidate brings to the role. Final salary placement will be based on upon several factors, including, level of expertise, relevant work experience, technology certifications, educational background, geography and alignment with industry standards. This role is eligible for our bonus program.
Responsibilities
Design, build, and deploy end-to-end agentic AI applications, including orchestration, APIs, backend services, user interfaces, and retrieval pipelines that ground AI outputs in trusted financial data and source documents.
Build Model Context Protocol (MCP) tools and integrations connecting agents to ERP systems, finance SaaS applications, reporting platforms, and enterprise data sources, with role-based access controls and audit trails.
Build and operate secure, monitored cloud environments for AI applications, using infrastructure as code, CI/CD, and appropriate identity, secrets management, and observability controls.
Implement deterministic guardrails, human approval gates, structured validation, and evaluation frameworks to assess agent accuracy, reliability, and compliance with client control requirements.
Establish reusable reference architectures, coding standards, evaluation patterns, and technical accelerators that support consistent delivery and the development of Clearsulting-owned intellectual property.
Requirements
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
Nice to have: Claude Certified Architect credential
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