Job Title - Technical PM
Location - Mississauga - ON
Hybrid
JD
Skills and experiences required
· 3 years or more as a scrum master.
· SAFe Scrum master certification a MUST
· 2 years or more as an advanced-level Jira user.
Roles and responsibilities
- Leading stakeholders through the Project Life Cycle and provide technical delivery management
- Scrum Master assist agile teams in meeting delivery goals through agile practices.
- Working closely with project delivery teams (including: Dev Ops, Prod. Support, QA and Release Delivery) to ensure successful code release to production and Business Validation testing
- Facilitates iteration events including daily standup, sprint planning, backlog refinement, team demo, and retrospective.
- Facilitates adoption of agile values and principles, and ensuring that the team knows how to plan, execute, review, and retrospect based on agile practices.
- Coaches on consistent delivery of iteration goals under scrum practices and flow improvements under Kanban practices.
- Trains and coaches teams on using Jira efficiently and effectively, how best to design a work breakdown structure in Jira and adhering to Jira guidelines
- Ensure Jira is the source of truth with timely updates for work and risks/issues.
- Promotes cross team collaboration on dependency management and thought partnership.
- Fosters a positive environment for high performance teams through self-organization, self-management, continuous improvements, and increased effectiveness of agile practices.
- Proactively identifies and resolves impediments.
- eCommerce/Retail Supply Chain Management using IBM Sterling DOM/OMS application.
- Must have experience in testing of business applications or components in eCommerce/Retail Supply Chain Management using IBM Sterling DOM/OMS application.
- Must have minimum 5 years of hands-on experience in Functional, Regression and E2E manual testing of IBM Sterling DOM/OMS application.
- Must understand different modules or concepts of IBM Sterling DOM/OMS like,
· Order Capture (Sales Orders, Purchase Orders, Transfer Orders)
· Delivery Methods (BOSS/BOPIS)
· Sourcing & Scheduling
· Catalog Management – Item Creation and Load
· Inventory Management
· Organization Hierarchy
· Agent & Integration Servers
· API Tester Framework
· Store Console & Fulfilment process – Pick, Pack, Containers, Shipping and Manifest Labels, etc,
· Order Console
· DOM DB Tables
- Attention to detail and a methodical approach to testing.
- Execute manual test cases to identify software defects and ensure functionality aligns with requirements.
- Collaborate with developers, project managers, and other stakeholders to understand project goals and requirements.
- Document and report bugs, issues, and inconsistencies in a clear and detailed manner.
- Perform regression testing to verify that fixes and updates do not introduce new issues.
- Create and maintain test plans, test cases, and test scripts.
- Validate user interfaces, workflows, and overall user experience.
- Ensure compliance with quality standards and best practices.
- Familiarity with defect tracking tools (e.g., JIRA, Bugzilla).
- Familiarity with Test case management tool (e.g., qTest).
- Conduct comprehensive end-to-end testing to ensure the functionality, performance, and reliability of software applications.
- Collaborate with stakeholders to define and execute User Acceptance Testing (UAT) scenarios, ensuring alignment with business requirements.
- Perform hands-on testing of APIs and web services using tools like Postman, SoapUI, or similar. Strong understanding of API testing methodologies and tools.
- Familiarity with web services (RESTful and SOAP) and related testing techniques.
- Basic understanding of software development processes and methodologies (e.g., Agile, Scrum).
- Have strong communication skills, analytical, problem-solving abilities and collaboration, along with attention to detail and adaptability.
- Able to manage your time effectively and meet deadlines is crucial.
- Knowledge of SQL and database testing is a plus.
- Excellent communication skills for reporting and collaboration.
Qualifications - 3-5 years of experience in the testing domain - Familiarity with testing life cycle processes, test case planning, test case designing and test execution - Experimented in mobile application testing - Expertise in end-to-end sanity, regression, smoke, and new feature testing - Experience in test results and bug analysis - Experience working in teams with offshore onsite model - Expertise in various defect management and test case management tools like Jira, Quality Center, TestRail, Bugzilla, etc., etc. Good communication and reporting skills Responsibilities -Manual test execution for complex new scenarios & features - Review bugs/tasks from offshore testers before they get assigned to developers - Follow up on high-priority and blocking issues. - File high signal tasks that can be assigned directly to developers - Work very effectively with QA lead and rest of the QA team - Follow up on important incremental changes and get it covered - Provide weekly reports on tasks executed
About HCL:
Over the past decade, HCL has been one of the fastest growing technology companies in the world.
What has been the source of HCL's success? A combination of unparalleled technical expertise and a unique management philosophy called Employees First.
At HCL, employees at all levels of the organization are "Ideapreneurship," empowered – to develop innovative solutions to operational and customer challenges. As a global company and G2000 organization, HCL Technologies brings IT and engineering services expertise under one roof to solve complex business problems for its clients.
Work life balance is one of the best reasons employees prefer working for HCL. Being considered as one of the best tech companies globally; employees believe that the HCL's brand name not only opens up the world of opportunities but also adds value to their professional career.
Work Location:
100% reporting to HCLTech - Vancouver Office
Mid-level QA Analyst who performs and co-ordinates testing for one or more functional areas of a product. The role will have communication and escalation responsibilities and will work under the direction of a Client QA Lead.
- 7-10 years of related experiences
- Test Point Of Contact ("POC") for a functional area in a product
- Responsible for coordinating testing with offshore team
- Identify key testing challenges / goals and develop initial Test Plan
- Prioritize which test plans to execute for specific app releases and launches
- Communicates the plan / updates / status of product effectively to the Client QA lead and product team
- Understanding of REST API
- Works effectively with stakeholders to root cause and solve issues
- Ability to validate status codes, response structures, and authentication mechanisms
- Hands-on experience with Postman for API testing (will be plus)
Quality Assurance Analyst (Junior)Work Location: Vancouver, BC (5 days at office setting) / 100% onsite Vancouver officeJunior QA Analyst who performs manual test execution on tasks assigned under the direction of customer QA Lead.Responsibilities-Manual test execution for complex new scenarios & features- Review bugs/tasks from offshore testers before they get assigned to developers- Follow up on high-priority and blocking issues.- File high signal tasks that can be assigned directly to developers - Work very effectively with QA lead and rest of the QA team- Follow up on important incremental changes and get it covered- Provide weekly reports on tasks executedQualifications- 3-5 years of experience in the testing domain- Familiarity with testing life cycle processes, test case planning, test case designing and test execution- Experimented in mobile application testing- Expertise in end-to-end sanity, regression, smoke, and new feature testing- Experience in test results and bug analysis- Experience working in teams with offshoreonsite model- Expertise in various defect management and test case management tools like Jira, Quality Center, TestRail, Bugzilla, etc., etc. Good communication and reporting skillsWork Location: Vancouver, BC (5 days at office setting)Junior QA Analyst who performs manual test execution on tasks assigned under the direction of customer QA Lead.Responsibilities-Manual test execution for complex new scenarios & features- Review bugs/tasks from offshore testers before they get assigned to developers- Follow up on high-priority and blocking issues.- File high signal tasks that can be assigned directly to developers - Work very effectively with QA lead and rest of the QA team- Follow up on important incremental changes and get it covered- Provide weekly reports on tasks executedQualifications- 3-5 years of experience in the testing domain- Familiarity with testing life cycle processes, test case planning, test case designing and test execution- Experimented in mobile application testing- Expertise in end-to-end sanity, regression, smoke, and new feature testing- Experience in test results and bug analysis- Experience working in teams with offshoreonsite model- Expertise in various defect management and test case management tools like Jira, Quality Center, TestRail, Bugzilla, etc., etc. Good communication and reporting skills.
This is a Hybrid position in Brampton.
Key Responsibilities:
- Lead and manage the delivery of Oracle database-related projects (e.g., upgrades, migrations, patching, high availability setup).
- Coordinate with cross-functional teams including application teams, infrastructure, cloud services, and business stakeholders.
- Own the delivery of database support services and ensure SLAs, KPIs, and customer expectations are met.
- Manage incident resolution, root cause analysis, and proactive problem management for database systems.
- Provide technical leadership on database architecture, backup & recovery, performance tuning, and automation.
- Drive governance, documentation, change management, and quality assurance processes.
- Plan and allocate resources efficiently to meet demand and project timelines.
- Manage vendor relationships and service contracts related to database tools and support services.
- Lead audits, compliance reviews, and risk assessments related to data security and operational procedures.
Required Qualifications:
- 15+ years of experience in Oracle database administration, including RAC, ASM, Data Guard, and RMAN.
- Good to have knowledge on other RDBMS like Postgres and MariaDB
- 5+ years of experience in a technical delivery or leadership role managing teams or projects.
- Strong understanding of Oracle Enterprise Manager (OEM), Exadata, GoldenGate
- Proven experience in large-scale database migrations, upgrades, and complex troubleshooting.
- Experience in ITIL framework and service delivery management practices.
Job Title : Workday integration developer (Studio/EIB).
Location : Toronto, ON Canada
Number of Position : 1
Mode of Employment : FTE only
JD:
- 6+ years of experience in Workday Integration
- Configuration and customization of Workday components/Interfaces
- Assist in the development of training materials for the end-user.
- Experience with building, deploying, and communicating change.
- Communicate effectively with colleagues and partners.
- Architect, recommend, and design systems solutions that meet customers' requirements; manage implementation of solutions architected.
- Represent and ensure end users interests when implementing functional changes in partnership with vendor partners and technical teams.
- Candidate is expected to be a self-starter who will actively contribute to the stability, support, and maturity of the product as well as any additional responsibilities supporting corporate applications.
- Participate in system updates and upgrades testing and related activities (creation and execution of test scripts, coordination of UAT testing communication, etc.)
Job Title :-AI/ML Security Engineer - Information SecurityJob Location :- Toronto, ON Hybrid -3 day onsite mandatory Mandatory Skills Must Have : Gen-AI , LLM security solution, ML, MLOpsGood to have : Cloud Architecture, CryptographyPrimary Responsibilities:o Identify, analyze, and benchmark Generative Al augmented, LLM agentic security solutions in the market.o Conduct proof-of-concept (PoC) assessments of selected cybersecurity capabilities to validate effectiveness in real-world environments.o Define security control baselines and evaluation criteria for emerging risk security solutions.o Evaluate vendor claims, solution architecture, and technical scalability.o secunity testing of GenAI-powered cybersecurity tools.o Publish detailed reports on the security, compliance, and efficacy of evaluated products.*o Deliver and integrate AI robustness, vulnerability, and stress testing capabilities with MLOps ecosystems.o Evaluate and assess open-source Al security libraries to build into enterprise AI stress testing and audit capabilities.o Implement secure model development life cycle practices with automated white box and black box assessments for AI/ML models.o Consistently enable strong developer and customer experience when liaising with application teams. Uphold Blue Box values when liaising with application teams.Minimum Qualifications:o Bachelor's Degree in Data Science, Statistics, Computer Science or Software Engineeringo 2- years' experience with Machine Learning Application Developmento 3+ years of software engineering experiencePreferred Qualifications:o Master's Degree - Data Science, Statistics, Computer Science, or Software Engineeringo Machine Learning Operation Professional Certificationso Demonstrated peer reviewed journal publications, conference presentations, open-source contributions, or similar activities.o Strong knowledge of Adversarial Robustness techniques and tools for machine learningo Strong knowledge of AI Risk Management frameworks and Trustworthy Al practices.o Hands-on experience with applying statistics, machine leaming algorithms (DNN. NLP), big data, and data science toolkits. Hands-on experience designing, implementing. and operationalizing high performant AI/ML pipelines and writing production codeo Hands-on experience with deploying and operationalizing AIML models to public cloud environments.o Hands-on experience evaluating open-source MIL tools, frameworks, and libraries.o Hands-on experience with commonly used data science programming languages, packages, and tools.o Hands-on experience with MLOps. DevOps. DataOps and API integrations.o Hands-on experience with Al workload management.
• Hands-on experience with Cloud architecture design, implementation, and operations.o Knowledge of application security controls (Web, API, Mobile, AL).o Knowledge of security domains. common information security management and application frameworks: NIST 800-53, CSF. OWASP ASS.o Knowledge of Secure SDLC, Application Security design and DevSecOpso Full stack knowledge of application architectures including: Single Page Applications, REST APIs, SOAP APIs. Mobile Applications.o Experience with Java, Javascript and mobile application development.o Knowledge or familiarity with database architectures including Oracle, SQL. DB2 and NoSQL Databaseso Experience with Cloud security, architecture, design, implementation, and operationso Exposure to IAM Controls (Auth 2.0, OIDC, JWI)o Strong familiarity with Cryptography Controls (Data at rest, in motion).Certifications - CISSP. CISM. CSSLP, CISA. CRISC
Job Title :-AI/ML Security Engineer - Information SecurityJob Location :- Toronto, ON Hybrid -3 day onsite mandatory
Mandatory Skills Must Have : Gen-AI , LLM security solution, ML, MLOpsGood to have : Cloud Architecture, Cryptography
Primary Responsibilities:o Identify, analyze, and benchmark Generative Al augmented, LLM agentic security solutions in the market.o Conduct proof-of-concept (PoC) assessments of selected cybersecurity capabilities to validate effectiveness in real-world environments.o Define security control baselines and evaluation criteria for emerging risk security solutions.o Evaluate vendor claims, solution architecture, and technical scalability.o secunity testing of GenAI-powered cybersecurity tools.o Publish detailed reports on the security, compliance, and efficacy of evaluated products.*o Deliver and integrate AI robustness, vulnerability, and stress testing capabilities with MLOps ecosystems.o Evaluate and assess open-source Al security libraries to build into enterprise AI stress testing and audit capabilities.o Implement secure model development life cycle practices with automated white box and black box assessments for AI/ML models.o Consistently enable strong developer and customer experience when liaising with application teams. Uphold Blue Box values when liaising with application teams.
Minimum Qualifications:o Bachelor's Degree in Data Science, Statistics, Computer Science or Software Engineeringo 2- years’ experience with Machine Learning Application Developmento 3+ years of software engineering experience
Preferred Qualifications:o Master's Degree - Data Science, Statistics, Computer Science, or Software Engineeringo Machine Learning Operation Professional Certificationso Demonstrated peer reviewed journal publications, conference presentations, open-source contributions, or similar activities.o Strong knowledge of Adversarial Robustness techniques and tools for machine learningo Strong knowledge of AI Risk Management frameworks and Trustworthy Al practices.o Hands-on experience with applying statistics, machine leaming algorithms (DNN. NLP), big data, and data science toolkits. Hands-on experience designing, implementing. and operationalizing high performant AI/ML pipelines and writing production codeo Hands-on experience with deploying and operationalizing AIML models to public cloud environments.o Hands-on experience evaluating open-source MIL tools, frameworks, and libraries.o Hands-on experience with commonly used data science programming languages, packages, and tools.o Hands-on experience with MLOps. DevOps. DataOps and API integrations.o Hands-on experience with Al workload management.• Hands-on experience with Cloud architecture design, implementation, and operations.o Knowledge of application security controls (Web, API, Mobile, AL).o Knowledge of security domains. common information security management and application frameworks: NIST 800-53, CSF. OWASP ASS.o Knowledge of Secure SDLC, Application Security design and DevSecOpso Full stack knowledge of application architectures including: Single Page Applications, REST APIs, SOAP APIs. Mobile Applications.o Experience with Java, Javascript and mobile application development.o Knowledge or familiarity with database architectures including Oracle, SQL. DB2 and NoSQL Databaseso Experience with Cloud security, architecture, design, implementation, and operationso Exposure to IAM Controls (Auth 2.0, OIDC, JWI)o Strong familiarity with Cryptography Controls (Data at rest, in motion).
Certifications - CISSP. CISM. CSSLP, CISA. CRISC
Job Title :-AI/ML Security Engineer - Information SecurityJob Location :- Toronto, ON Hybrid -3 day onsite mandatory
Mandatory Skills Must Have : Gen-AI , LLM security solution, ML, MLOpsGood to have : Cloud Architecture, Cryptography
Primary Responsibilities:o Identify, analyze, and benchmark Generative Al augmented, LLM agentic security solutions in the market.o Conduct proof-of-concept (PoC) assessments of selected cybersecurity capabilities to validate effectiveness in real-world environments.o Define security control baselines and evaluation criteria for emerging risk security solutions.o Evaluate vendor claims, solution architecture, and technical scalability.o secunity testing of GenAI-powered cybersecurity tools.o Publish detailed reports on the security, compliance, and efficacy of evaluated products.*o Deliver and integrate AI robustness, vulnerability, and stress testing capabilities with MLOps ecosystems.o Evaluate and assess open-source Al security libraries to build into enterprise AI stress testing and audit capabilities.o Implement secure model development life cycle practices with automated white box and black box assessments for AI/ML models.o Consistently enable strong developer and customer experience when liaising with application teams. Uphold Blue Box values when liaising with application teams.
Minimum Qualifications:o Bachelor's Degree in Data Science, Statistics, Computer Science or Software Engineeringo 2- years’ experience with Machine Learning Application Developmento 3+ years of software engineering experience
Preferred Qualifications:o Master's Degree - Data Science, Statistics, Computer Science, or Software Engineeringo Machine Learning Operation Professional Certificationso Demonstrated peer reviewed journal publications, conference presentations, open-source contributions, or similar activities.o Strong knowledge of Adversarial Robustness techniques and tools for machine learningo Strong knowledge of AI Risk Management frameworks and Trustworthy Al practices.o Hands-on experience with applying statistics, machine leaming algorithms (DNN. NLP), big data, and data science toolkits. Hands-on experience designing, implementing. and operationalizing high performant AI/ML pipelines and writing production codeo Hands-on experience with deploying and operationalizing AIML models to public cloud environments.o Hands-on experience evaluating open-source MIL tools, frameworks, and libraries.o Hands-on experience with commonly used data science programming languages, packages, and tools.o Hands-on experience with MLOps. DevOps. DataOps and API integrations.o Hands-on experience with Al workload management.• Hands-on experience with Cloud architecture design, implementation, and operations.o Knowledge of application security controls (Web, API, Mobile, AL).o Knowledge of security domains. common information security management and application frameworks: NIST 800-53, CSF. OWASP ASS.o Knowledge of Secure SDLC, Application Security design and DevSecOpso Full stack knowledge of application architectures including: Single Page Applications, REST APIs, SOAP APIs. Mobile Applications.o Experience with Java, Javascript and mobile application development.o Knowledge or familiarity with database architectures including Oracle, SQL. DB2 and NoSQL Databaseso Experience with Cloud security, architecture, design, implementation, and operationso Exposure to IAM Controls (Auth 2.0, OIDC, JWI)o Strong familiarity with Cryptography Controls (Data at rest, in motion).
Certifications - CISSP. CISM. CSSLP, CISA. CRISC
