Atlantis IT Group

About the Company

Atlantis IT Group, a dynamic IT venture delivering end-to-end services and products tailored for small and medium-sized businesses. With a mission to provide one-stop solutions, the Company empowers clients with seamless technology

"Atlantis" had its first branch in Toronto, Canada, and was established in 1990.
The Company has emerged from a small farm to a medium company providing all sorts of solutions, headquartered in Toronto, Canada The Company has had its branches and offices in different countries such as the USA, Canada, and India for the last 32 years.

Atlantis is enlarging its global footprint by offering complementary product and service lines by partnering and strategically working with businesses.
The primary specialized area of the Company includes ERP solutions, with cloud-based and on-premise solutions available to meet the requirements of all Industries.


OUR PRODUCTS:

"WORKSWARE ERP"
The emergence of WORKSWARE ERP is noticed from a ground level to an upgraded form because of the integrated ERP system, dedicated towards forward-thinking discrete manufacturing enterprises.

"BM-Cloud"
BM-Cloud is One of the key offerings of Atlantis consulting as a Cloud-based business management ERP software since 2013.
The significant feature of BM-Cloud includes easy usage with the enhancement of simplicity and usability as a complete integrated ERP system.
The fundamental modules covered by BM-Cloud are accounting, inventory management, purchasing, sales, and HR/payroll systems.
In other words, it is designed primarily to support businesses in the trading and retail sectors and includes all the essential components required for a firm to assist in decision-making.

"BM-POS"

We provide a cloud-based retail solution with all the tools required to manage a retail business, including a sales screen, inventory management, real-time dashboard, employee administration, and other functions that keep retailers in charge of their operations.

Listed Jobs

Company Name

Atlantis IT Group

Job Title

PSA Engineer - Distribution

Job Description

Job title: PSA Engineer – Distribution Role Summary: Support and enhance ADMS products (SCADA, DMS, OMS, DER, Storm Assist) for transmission and distribution grids. Resolve defects, perform tests, configure replication, and lead rollout of upgrades while ensuring high availability and compliance with NERC CIP. Expactations: Deliver timely customer issue resolution, maintain system performance, and drive continuous improvement of ADMS capabilities. Collaborate cross‑functionally, communicate findings clearly, and uphold quality and reliability standards. Key Responsibilities - Troubleshoot and resolve defects in ADMS platform, providing root‑cause analysis and preventive measures. - Execute FAT/SAT testing scripts, post‑test analysis, and defect categorization. - Set up, configure, and monitor ADMS replication groups to ensure data integrity and high availability. - Deploy, upgrade, and integrate new ADMS systems, coordinating planning, execution, and testing. - Partner with internal teams and vendors to diagnose performance or functionality issues. - Maintain documentation for defect management, replication setups, and deployment procedures. Required Skills - Practical experience installing/supporting ADMS products (DMS, DNAF, OMS, Storm Assist, DER). - Proficiency with Linux, Windows, Oracle, SQL, JasperReports, Cassandra, Docker, Jenkins. - Scripting: C, C++, C#, SQL, Python. - Network fundamentals: TCP/IP, IP addressing, routing, LAN, DNS, Active Directory, firewalls, switches. - Knowledge of SCADA, modeling tools, and user interface concepts. - Understanding of transmission and distribution electrical grids and NERC CIP standards. - Strong analytical, logical reasoning, and independent working capability. - Effective communication and customer‑centric problem solving. Required Education & Certifications - Bachelor’s degree in Electrical Engineering, Computer Science, or related field. - Certifications such as CCNA/CCNP or NERC CIP (preferred).

Toronto, Canada

Hybrid

30-10-2025

Company Name

Atlantis IT Group

Job Title

ETL Tester (Azure / SQL)

Job Description

**Job title:** ETL Tester (Azure / SQL) **Role Summary:** Senior data warehouse tester with advanced Azure Cloud and ETL testing experience. Responsible for validating data integrity, creating comprehensive test artifacts, and ensuring quality across data pipelines and legacy systems. **Expectations:** - Minimum 5 years of data warehouse testing. - Minimum 2 years of Azure Cloud experience. - Strong quality‑engineering mindset; ability to solve complex issues in a repeatable, scalable and sustainable manner. **Key Responsibilities:** - Design and execute source‑to‑target comparison test cases in SQL. - Develop test plans, detailed test cases, traceability matrices, and closure reports. - Deploy and maintain testing tools: PySpark, Python, Git, JIRA, JTMF. - Collaborate in Agile environments (Kanban/Scrum). - Work with Azure Data Bricks, Azure Data Factory, Azure DevOps. - Support mainframe EBCDIC/COBOL copybooks and data integration. - Automate test processes using Tosca, BIDI, AutoSys, Excel macros, Informatica. - Troubleshoot and resolve data quality and ETL mapping issues. **Required Skills:** - Expert SQL proficiency. - Azure services: Data Bricks, Data Factory, DevOps. - Programming: Python, PySpark. - Version control & issue tracking: Git, JIRA. - Test management: JTMF. - Agile methodologies (Scrum/Kanban). - Mainframe copybook reading (EBCDIC/COBOL). - Automation tools: Tosca, BIDI, AutoSys, Informatica, Excel macros. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Systems, or related field. - Microsoft Certified: AZ‑900, DP‑900, DP‑203 (Azure Data Engineer Associate).

Montreal, Canada

Hybrid

Mid level

04-11-2025

Company Name

Atlantis IT Group

Job Title

Business Analyst With OFSAA

Job Description

**Job title** Business Analyst – OFSAA (FCCM/KYC) **Role Summary** Analyze, document, and transform business requirements for OFSAA FCCM (KYC) solutions within an Oracle technology stack. Collaborate with stakeholders, design data flows, and support the SDLC from conception to delivery, ensuring high quality implementation and compliance with banking regulations. **Expectations** - Minimum 6 years of business systems analysis or related experience in a technology‑driven organization. - Bachelor’s degree in Information Systems, Computer Science, Finance, or equivalent. - Proficiency in SQL on Oracle databases and experience executing complex queries for data analysis. **Key Responsibilities** - Gather and translate business needs into detailed functional specifications, user stories, and technical requirements. - Create data flow diagrams and process models using Visio or equivalent tools. - Coordinate with developers, testers, and business users throughout the SDLC and Agile sprints (JIRA, Confluence). - Manage data integration and ETL pipelines, ensuring alignment with the Oracle Customer Risk Rating (Mantas) data model. - Review existing business processes and systems to identify improvement opportunities. - Ensure all deliverables meet regulatory standards for the banking industry. - Maintain documentation and version control of all specifications and design artifacts. **Required Skills** - Strong command of Oracle SQL and experience with Oracle database environments. - Deep understanding of SDLC, Agile practices, and associated tooling (JIRA, Confluence). - Familiarity with OFSAA FCCM suite, specifically the KYC module and Customer Risk Rating. - Knowledge of Oracle customer risk rating data models (preferably Mantas) and data flow/ETL design. - Excellent verbal and written communication; ability to liaise between technical teams and business stakeholders. - Detail‑oriented, analytical mindset, and a proven track record of delivering quality solutions on schedule. **Required Education & Certifications** - Bachelor’s degree (Information Systems, Computer Science, Finance, or related). - Optional but preferred: CBAP (Certified Business Analysis Professional), CAMS (Certified Anti‑Money Laundering Specialist).

Toronto, Canada

Hybrid

04-11-2025

Company Name

Atlantis IT Group

Job Title

Gen AI Architect

Job Description

Job title: Gen AI Architect Role Summary: Lead the design, integration, and governance of generative AI solutions across enterprise systems, driving strategy, technical feasibility, and roadmap execution while ensuring scalability, security, and alignment with business objectives. Expactations: - Deliver a cohesive AI and GenAI architecture strategy that supports innovation and enterprise-wide adoption. - Maintain robust, scalable, and secure AI infrastructure that integrates with existing business and technical landscapes. - Serve as a technical authority on AI, machine learning, data science, and cloud technologies, shaping architectural principles and standards. - Collaborate with business stakeholders to translate AI opportunities into actionable, feasible projects. Key Responsibilities: - Develop and evolve the generative AI architecture strategy, ensuring alignment with business goals and technology roadmaps. - Define architectural principles, standards, and best practices for AI/GenAI solutions. - Evaluate technical feasibility and risk for proposed AI use cases, providing recommendations and roadmaps. - Lead cross-functional teams in designing, building, and deploying AI solutions, ensuring secure, efficient, and adaptable implementations. - Oversee integration of AI components with legacy systems, data pipelines, and cloud platforms. - Mentor and guide engineering and data science teams on architectural decisions and design patterns. - Monitor performance, scalability, and compliance of AI solutions, iterating on architecture as needed. Required Skills: - Expertise in generative AI models (e.g., GPT, Stable Diffusion) and related frameworks. - Strong background in AI/ML architecture, data engineering, and cloud infrastructure (AWS, Azure, GCP, or equivalent). - Proven experience with model deployment, scaling, and monitoring in production environments. - Deep understanding of security, privacy, and regulatory considerations for AI solutions. - Excellent communication and stakeholder management skills; ability to translate technical concepts for non‑technical audiences. - Leadership experience in guiding cross‑disciplinary teams through complex AI projects. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. - Certifications in cloud architecture (e.g., AWS Certified Solutions Architect, Azure AI Engineer Associate) and AI/ML (e.g., TensorFlow Developer, Data Science Professional Certificate) preferred.

Toronto, Canada

Hybrid

06-11-2025