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 · Toronto
Gather and document business and system requirements, API specifications, interface requirements, and data mappings for enterprise integrations. Collaborate with stakeholders, architects, developers, and vendors to deliver and test API-based solutions, troubleshoot integration issues, and ensure compliance with enterprise standards.
On-site · Toronto
Design and lead enterprise technology architectures and Box-based solutions, including integrations, prototypes, technical specifications, and implementation from planning through production. Advise business and technology stakeholders, guide implementation teams, and help align Box capabilities with enterprise requirements and measurable business outcomes.
On-site
Design Lakehouse architectures and deliver end-to-end data pipelines, including ETL/ELT, streaming, and DataOps solutions. Create architecture designs and migration plans, ensure security and regulatory compliance, and lead client-facing technical discussions, RFPs, and cloud transformation estimates.
On-site
Design, build, and deploy production-ready AI applications and data engineering solutions, including LLM and RAG systems, data pipelines, APIs, and cloud-based platforms. Own solutions through deployment and ongoing operations, including evaluation, monitoring, performance optimization, security, compliance, and maintenance.
On-site
Design, build, and deploy production-ready data and AI applications, including pipelines, integrations, and MLOps/LLMOps capabilities. Work directly with client teams to discover and assess data, prototype and validate solutions, support production operations, and measure adoption and business impact.
On-site
Design end-to-end AWS and Databricks data and AI architectures, including scalable Lakehouse platforms, ingestion pipelines, and analytics solutions. Lead governance, security, modernization, migration, optimization, and architecture standards while collaborating with stakeholders, supporting client engagements, and mentoring engineers.
On-site · Halifax
Design, deploy, maintain, and troubleshoot scalable cloud infrastructure using Terraform, and manage containerized application deployments across cloud environments. Build and maintain CI/CD pipelines, support data workflows in Databricks and Snowflake, resolve cloud networking issues, and integrate SaaS solutions with enterprise systems.
On-site
Lead technology strategy, data and analytics initiatives, AI, and enterprise transformation. Drive enterprise modernization, business intelligence, and data-driven business outcomes while engaging executive stakeholders and supporting consulting, pre-sales, and business development.
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
Build and operate enterprise-scale GCP platforms, including Kubernetes-based container platforms, infrastructure as code, CI/CD pipelines, and GitOps deployment frameworks. Establish reliability and observability practices, automate operations and incident response, and manage security, availability, disaster recovery, performance, and cost while enabling self-service platform capabilities.
On-site
Develop, debug, maintain, and enhance RPG-based applications and batch or interactive processes, while supporting IBM i systems through troubleshooting, job monitoring, and error resolution. Collaborate with business stakeholders and onsite and offshore teams to gather requirements and deliver integrations, performance improvements, and modernization or migration work.
On-site · Markham
Lead discovery and assessment of SAS application landscapes, analyze code, data, reports, jobs, and dependencies, and define migration strategies for moving SAS workloads to Snowflake. Guide migration teams through proof-of-concept work, conversion reviews, business logic validation, cutover, and hypercare.
On-site · Brampton
Lead and mentor an offshore engineering pod while designing, building, and optimizing Fabric data pipelines and orchestrated workloads. Manage OneLake, semantic models, and Oracle mirroring; test interoperability with Databricks and Snowflake; maintain CI/CD, monitor capacity, document processes, and coordinate with an onsite architect.
On-site · Mississauga
Design, develop, and maintain OpenText xPression templates and complex customer communications, integrating enterprise data and building elements such as conditional content, tables, images, and barcodes. Test and troubleshoot document generation, resolve defects, provide production support, and collaborate with business, QA, and application teams throughout the SDLC.
On-site
Elicit and document requirements, map current and future SAP processes, and assess fit-gap impacts for inventory and contracting workstreams in an SAP ECC to S/4HANA migration. Translate business needs into functional specifications and support data mapping, testing, UAT, process documentation, training, and coordination between business stakeholders and migration teams.
On-site · Toronto
Design and support Oracle database schemas and application components, tune SQL and database performance, and manage database releases and migrations across environments. Monitor production health, resolve database issues, and collaborate with infrastructure and cloud teams on AWS migrations, capacity planning, failover, and disaster recovery.
On-site · Montréal
Build and maintain .NET services, document-processing workflows, Kafka-based event pipelines, notification microservices, and React monitoring tools. Monitor platform health, support production incidents, lead root cause reviews, guide Agile delivery, and promote AI development tools.
On-site · Toronto
Build and deliver enterprise Python software, including RESTful services and APIs, using cloud platforms and CI/CD pipelines. Independently manage delivery, testing, problem-solving, and stakeholder expectations, while adopting AI-assisted engineering practices.
On-site · Toronto
Manage security across Azure, AWS, and Google Cloud environments. Implement zero-trust architectures, advanced analytics with Microsoft Defender, secure access controls, comprehensive logging, and secure transmission practices.
