IT Services company with Head Quarters in Toronto, Ontario working with leading IT companies across Canada and the USA
Mississauga, Ontario
At J&M Group, we are the strategic partner for businesses ready to redefine their future. We specialize in delivering integrated, intelligent solutions that drive growth, efficiency, and competitive advantage in a rapidly evolving digital world. Our expertise is built at the intersection of deep industry knowledge and cutting-edge technology. We help clients navigate complexity, not just by solving today's challenges, but by anticipating tomorrow's opportunities. Our core service pillars include: Technology & Digital Transformation: We build the robust, scalable technology foundations—including cloud migration, custom software, and data architecture—that power modern enterprises and enable seamless AI integration. AI & Intelligent Automation: We turn artificial intelligence into your competitive advantage. Our services range from Generative AI and predictive analytics to process automation, designed to unlock new levels of productivity, personalization, and insight. Strategic Consulting: We serve as an extension of your leadership team, delivering data-driven strategies for operational excellence, market expansion, and sustainable growth, ensuring your business model is future-proof. Managed Services: We offer reliable, end-to-end management for your critical IT and business operations. Our AI-enhanced services ensure peak performance, security, and cost-efficiency, allowing you to focus on your core business. Talent & Resourcing: We bridge the critical skills gap by providing expert talent in AI, data science, and digital transformation, helping you build the agile, high-performing teams needed to execute your vision. Driven by innovation, integrity, and a commitment to partnership, J&M Group is your single source for transforming ambition into achievement. Ready to build what's next? Connect with us.
On-site · Montréal
Design, develop, integrate, and operate enterprise content management platforms and supporting services, with a focus on Python engineering, platform reliability, and production support. Troubleshoot complex incidents, support customers and vendors, maintain architecture and operational documentation, and improve platform security, scalability, and reliability.
On-site
Lead a team of 10 engineers while building and optimizing data pipelines and managing GCP data infrastructure, including BigQuery, Cloud Storage, and Data Fusion. Establish engineering standards and monitoring, optimize performance and costs, and collaborate on self-service data platforms, analytics, machine learning, data quality, and governance.
On-site
Administer IBM i / AS400 / iSeries systems, including upgrades, PTF installation, security patching, IPL, performance monitoring, backup and recovery, and disaster recovery. Manage ROBOT scheduling and production batch workloads, troubleshoot jobs and subsystems, and coordinate with application teams and business stakeholders.
On-site · Toronto
Lead planning, execution, defect management, reporting, and release readiness for Guidewire Property and Casualty initiatives. Direct functional, integration, API, regression, end-to-end, and production testing across Guidewire platforms and core insurance workflows.
On-site · Markham
Define and lead end-to-end Guidewire architecture for implementations, upgrades, cloud migrations, integrations, and modernization initiatives. Guide technical design and governance, collaborate across business and delivery teams, mentor technical staff, and support client solutioning and program delivery.
On-site · Toronto
Design and maintain CI/CD pipelines, reusable automation, and GitOps-based deployments for containerized applications on OpenShift and Kubernetes. Automate platform operations, support observability and secrets management, troubleshoot production issues, assist with platform migrations, and improve delivery reliability with application teams.
On-site · Toronto
Develop Java and Spring Boot microservices, REST APIs, responsive web interfaces, and Kafka-based integrations. Test, deploy, secure, monitor, and optimize applications, while supporting CI/CD pipelines, code reviews, releases, and production issue resolution.
On-site · Montréal
Develop full-stack applications using Python and React, including Generative AI applications that use LLMs, agents, and tools to integrate data into model context. Design and implement solutions involving MCP infrastructure, A2A, RAG, vector storage, databases, and effective software delivery practices.
On-site · Calgary
Assess security risks, track remediation, and support cybersecurity initiatives, including incident management, threat detection, and vulnerability management. Collaborate with business and technical teams on security operations and risk-related activities.
On-site · Toronto
Design, deploy, and maintain enterprise Windows 365 Cloud PC architectures, landing zones, image lifecycle processes, identity and security patterns, and observability models. Integrate Cloud PCs with ITSM and CMDB operations, optimize costs and usage, develop resilience and recovery strategies, and collaborate with business, engineering, security, and compliance teams.
On-site
Design, build, and maintain scalable data pipelines and data warehousing solutions on GCP, primarily using BigQuery, and develop DBT models to transform raw data into tested, documented datasets. Collaborate with analysts, data scientists, and stakeholders; optimize SQL, monitor pipeline performance and data quality, automate tasks with Python, and uphold governance, security, and compliance standards.
On-site · Toronto
Manage team timelines and deliverables to support successful project delivery, and design software solutions by gathering requirements from portfolio managers, traders, operations staff, and peers. Develop efficient, scalable solutions that align with client technology preferences and enable new trading activities, while providing knowledge transfer through demonstrations, walkthroughs, and documentation.
On-site · Halifax
Develop and deliver production-ready AI platform capabilities, including LLM deployment, monitoring, versioning, evaluation, and governance. Support AI services such as prompt management, retrieval-augmented generation, embeddings and vector search, inference APIs, and agentic AI.
On-site · Toronto
Develop and maintain scalable automated testing frameworks and quality strategies for DevOps tools, pipelines, and AI-enabled features. Integrate functional, API, integration, and AI quality checks into CI/CD workflows, track defects and quality trends, and communicate risks and release recommendations to stakeholders.
On-site
Design, build, and optimize batch and real-time data pipelines and scalable, cost-efficient GCP data platforms using tools such as Dataflow, Spark, Pub/Sub, and BigQuery. Lead and mentor a team of 10 data engineers, establish engineering and governance standards, optimize platform performance and costs, and collaborate on analytics and machine-learning solutions.
On-site · Toronto
Gather and document business requirements, analyze data, and develop Power BI dashboards, KPI reports, and executive reporting solutions using SQL and Excel. Prepare and validate regulatory reports, perform data quality analysis, support UAT, and collaborate with business, compliance, and technology teams to implement reporting solutions.
On-site
Manage, support, and modernize mainframe networking infrastructure, including configuring session management tools and troubleshooting connectivity. Lead migrations end-to-end, coordinate cutover and rollback plans, validate session continuity and performance, maintain documentation, and provide L2/L3 support while ensuring security and compliance.
On-site · Toronto
Research, prototype, test, and operationalize emerging cybersecurity capabilities, including agentic AI security tools and proof-of-concepts. Evaluate cybersecurity products and startups through hands-on testing and technical due diligence, then present findings and recommendations to engineering, security leadership, and investment stakeholders.
On-site · Mississauga
Analyze and wrangle large volumes of data using big data technologies and tools. Perform performance analysis, troubleshoot issues, and resolve them within the Cloudera big data ecosystem.
On-site · Toronto
Lead end-to-end planning and delivery of complex DevOps initiatives, coordinating squads and enterprise partner teams through implementation, testing, rollout, stabilization, and operational handoff. Manage governance, plans, risks, dependencies, communications, readiness, and leadership reporting while ensuring decisions, deliverables, and operational ownership are documented.