Learning Management Specialist

Software Development Engineer in Test

Senior SDET – Human Risk Team

Sr Engineer – Identity & Consent

Pricing Analyst

QA Tester

Senior Proactive Engineer

Senior Manager Data Science

Manager, Data Science (GNS)

Senior Data Scientist

Responsibilities: LMS Management:&nbsp; <ul><li>Assist with maintaining the Docebo LMS, including tasks such as workflow configuration, business rules, and permission management.</li></ul> Content Management: <ul><li>Upload and organize training materials and courses within the LMS. Ensure that all content is up-to-date, relevant, and consistent. Video editing.</li></ul> User Support:&nbsp; <ul><li>Provide technical support and troubleshooting assistance to internal teams. </li><li>Address and resolve any issues related to the LMS.</li></ul> Continuous Improvement:&nbsp; <ul><li>Assist with evolution of the platform and evaluation of new complementary solutions to add value for learners. </li><li>Examples include: adding multiple language support, closed captioning, and more.</li></ul> System Updates and Maintenance:&nbsp; <ul><li>Stay informed about updates and new features of Docebo and their impact on our learners. Update our configuration as needed based on platform upgrades.&nbsp;</li></ul> Use Case Expansion:&nbsp; <ul><li>Extend our current usage, which is focused on customer education, to internal training and employee on boarding, including integration with our HRIS.</li></ul> Reporting and Analytics:&nbsp; <ul><li>Generate and analyze reports on user behavior and overall system usage. Use data to make recommendations for improvements to affect user outcomes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Education, Information Technology, a related field, or equivalent experience is required.</li><li>Prior 3+ years’ experience managing an LMS, preferably Docebo.</li><li>Strong technical and analytical skills to troubleshoot and resolve system and integration issues.</li><li>Experience with data integrations between systems (Workato, Docebo Connect, Webhooks, APIs, etc.).</li><li>Excellent organizational skills and attention to detail.</li><li>Analytical skills with experience in generating and interpreting reports and developing proposals for improvement.</li><li>Experience with video and audio editing.</li><li>Experience managing online training content.</li></ul>

Responsibilities: <ul><li>Contribute to planning, estimation, and refinement of stories, epics, and design changes as part of an Agile Scrum team.</li><li>Build out test strategies and plans to cover new areas of functionality, ensuring all necessary testing is performed.</li><li>Refine acceptance criteria into testable units and convert those into automated tests that execute efficiently and reliably.</li><li>Integrate automated tests with CI/CD pipelines and ensure successful automation as part of our standard build process.</li><li>Occasional manual testing when automation is not an option.</li><li>Report, reproduce, and help development resolve defects, emphasis on troubleshooting, root cause analysis, and prevention of similar issues in the future.</li><li>Freely debate ideas and rally behind decisions.</li><li>Pushing for continual improvement in everything we do.</li><li>Apply technology trends and industry innovations to our products and take initiatives.</li><li>Utilizing and embracing AI tools to assist in Quality Engineering activities.</li></ul> Requirements: <ul><li>Domain experience in Quality Engineering, especially automated testing.</li><li>Experience test planning and breaking down stories/requirements into testable units.</li><li>Full-stack experience in automated testing, validating both front-end and back-end interfaces, including RESTful API endpoints and web-based user interfaces.</li><li>Solid object-oriented programming skills and string experience automating in Java, JavaScript, typescript or similar.</li><li>Experience on building and scaling tests using frameworks like Junit/TestNg and/or Cypress/Playwright.</li><li>Experience/familiarity working with public cloud, especially AWS and utilising its SDK to interact with Cloud Services for testing.</li><li>Familiarity working with databases and an ability to incorporate database-side validation into automated tests.</li><li>Experience with CI/CD pipelines, especially using Jenkins and working with pipelines.</li><li>Some working knowledge of Microsoft Exchange, Microsoft 365, Azure Active Directory, and Windows Server.</li><li>Experience/knowledge in leveraging AI tools in building agents, using for reviews and generating skeleton code.</li><li>Some experience/familiarity with performance/scalability testing.</li><li>Bias for action and problem solving – eagerness to take initiative and make things happen.</li></ul>

Responsibilities: <ul><li>Contributing to the planning, estimation, and refinement of stories, epics, and design changes as part of an Agile Scrum team</li><li>Building out test plans to cover new areas of functionality, ensuring all necessary testing is performed</li><li>Refining acceptance criteria into testable units and converting those into automated tests that execute efficiently and reliably</li><li>Integrating automated tests with CI/CD pipelines and ensuring successful automation as part of our standard build process</li><li>Occasional manual testing when automation is not an option</li><li>Reporting, reproducing, and helping development resolve defects – emphasis on troubleshooting, root cause analysis, and prevention of similar issues in the future</li><li>Monitoring our results and driving continuous improvement through process changes</li><li>Mentoring and coaching junior engineers</li><li>Contributing to design/code reviews for product and test code</li><li>Advocating test automation and coaching the team on best practices</li></ul> Requirements: <ul><li>8+ years of experience as a SDET (or similar role) working across the full tech stack</li><li>Engineering / Computer science degree or equivalent experience</li><li>Extensive experience test planning and breaking down stories/requirements into testable units</li><li>Expertise in significant test automation work, validating both back-end and front-end interfaces in at least one object-oriented language, including:</li><li>Extensive experience automating business logic in the services layer (RESTful API, SDK, or CLI, as appropriate)</li><li>Proficiency in validating contract, functionality, correctness, and performance of REST API endpoints</li><li>Clear understanding of how to manage risk through negative testing, boundary/limits testing, load/soak testing, and other test aspects as appropriate, including system integration, performance/scale, security</li><li>Solid programming skills and experience automating in Java or similar</li><li>Experience in validation of UI-functionality and rendering, End-to-End testing, and UAT scenarios</li><li>Experience with Cypress or knowledge of Protractor/Selenium</li><li>Knowledge of Web Browsers, HTML, CSS, JavaScript, TypeScript, Angular, JSON, XML, integration with APIs, web servers</li><li>Great knowledge of testing design patterns - for example, the Page Object Model</li><li>Experience delivering testing in Agile projects with continuous testing model</li><li>2+ years of experience as a technical leader of test projects and test teams</li><li>Database familiarity (types, schemas, SQL queries, basic operations) and ability to incorporate database-side validation into automated tests</li><li>Experience with multithreading, concurrency, SaaS, and multi-tenant architectures</li><li>Proven ability to integrate with and automate using third party APIs (e.g., Google, Microsoft, Amazon etc)</li></ul>

﻿Responsibilities: <ul><li>Lead the design, implementation, and optimization of our CIAM platform using SAP CDC across multiple brands, regions, and touchpoints.</li><li>Manage identity lifecycle workflows including registration, authentication, progressive profiling, and consent management.</li><li>Ensure integration of SAP CDC with core systems such as CDP, CRM, eCommerce platforms, Consumer Portals, and Marketing Automation tools.</li><li>Define and maintain secure authentication standards (e.g., SSO, OAuth 2.0, OpenID Connect, MFA) and drive their adoption across internal teams and external partners.</li><li>Collaborate with Legal, Security, and Data Privacy teams to ensure global compliance with regulations like GDPR, CCPA, and local privacy laws.</li><li>Work closely with engineering and product teams to deliver scalable APIs and SDK implementations across web and mobile platforms.</li><li>Proactively monitor system performance, manage incidents, and optimize for reliability, scalability, and performance.</li><li>Stay up to date with emerging trends in CIAM, identity federation, and zero-trust architecture to evolve our digital foundation.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li><li>6+ years of hands-on experience in identity engineering, DevSecOps, or CIAM implementations.</li><li>Deep technical knowledge of SAP Customer Data Cloud (f.k.a. Gigya) including schema modeling, screen sets, policies, and identity sync.</li><li>Strong understanding of IAM protocols (OAuth 2.0, SAML, OpenID Connect) and API security.</li><li>Experience integrating CIAM platforms with downstream systems via REST APIs, event-based messaging, and standard connectors.</li><li>Familiarity with consumer data platforms, marketing automation tools, and digital frontend environments.</li><li>Familiar with data privacy and consent frameworks (e.g., GDPR, CCPA), and their impact on customer data flows.</li><li>Excellent communication and collaboration skills across cross-functional and distributed teams.</li><li>Experience working in Agile/Scrum environments, with a proactive mindset for innovation and continuous improvement.</li></ul>

Responsibilities: <ul><li>Designs, implements, maintains, and troubleshoots company Pricing applications (PriceFx), while adapting to changing priorities.</li><li>Leads complex projects including the design, specifications, and implementation of new capabilities.</li><li>Hands-on development and configuration of PriceFx to create critical solutions.</li><li>Provides day-to-day application support: Address broke/fix, provide consultation, investigate data issues.</li><li>Interact with other functional areas (i.e., Demand Planning, Finance, Supply Chain, Sales, etc.) to understand upstream and downstream impacts.</li><li>Provides input into cloud-based solutions as required to meet changing business needs.</li><li>Interacts with vendors and service providers to understand the relationship, troubleshooting issues, ensures adequate support levels are in place, and evaluates new cloud services and frameworks.</li><li>Work closely with the Pricing Center of Excellence and Pricing Leaders (Directors and VPs) to understand needs and demands while creating designs and solutions resulting from their feedback.</li><li>Consistently evaluating Platform Releases to assess new functionality that can be leveraged to improve system usability and maturity.</li><li>Peer leadership by providing mentoring and training to other team members.</li></ul> Requirements: <ul><li>BS in Computer Science or related field with over 10 years of overall work experience in a global environment</li><li>Minimum of 5 years of experience with these skills to be applied with this role:</li><li>Required: PriceFx</li><li>Modules: Price Analyzer, Price Builder, Quote Configurator</li><li>Technologies: Git, Groovy, Java (or object oriented programming principles), APIs, relational databases, web technologies</li><li>Preferred: SAP, Salesforce CPQ</li><li>Familiarity with System Integrations</li><li>Including: Dell Boomi, Enosix, Salesforce Platform Events, and FTP</li><li>Business process analysis and problem-solving skills.</li></ul>

Responsibilities: <ul><li>Develop detailed test plans based on project requirements and specifications.&nbsp;</li><li>Provide feedback on quality standards, usability, and areas for improvement.</li><li>Automates test scenarios and expected outcomes.&nbsp;</li><li>Conduct regression, integration, user acceptance, and performance testing.</li><li>Conducts comprehensive testing and risk-based assessments of the testing objects.&nbsp;</li><li>He/She uses source documentation as input and contributes to the planning and implementation of testing activities.&nbsp;</li><li>Leads testing components of large and complex projects, assigns tasks, provides direction to resources, and reports progress to project stakeholders.&nbsp;</li><li>He/She creates and selects tools and methodologies for review and approval by management.</li></ul> ﻿Requirements: <ul><li>Bachelors Degree or International equivalent&nbsp;</li><li>Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics or related field - Preferred&nbsp;</li><li>comprehensive knowledge of technical skills, principles, practices, and procedures of testing methodologies and working knowledge in planning, designing, and conducting QA reviews and inspections.&nbsp;</li><li>He/She provides expertise for key business functions and supporting technologies.&nbsp;</li><li>Provides mentorship and expertise in technologies and processes for Information Services Management (ISM) and Quality Assurance (QA).&nbsp;</li><li>He/She maintains an awareness of emerging technologies to ensure a competitive advantage.</li><li>Experience with both web and client/server based testing</li><li>Minimum 8 Years of Relevant Experience in IT Test Automation.</li><li>Should have strong Mainframe testing [CICS, JCL, DB2, Cobol]</li><li>Must be able to test and debug batch jobs (JCL).</li><li>Must be able to perform backend testing by executing SQL queries.</li><li>Expertise in APIs &amp; Web Services testing</li><li>Hands-on experience in Selenium, TestNG and Cucumber frameworks</li><li>Good in test execution reporting skills</li><li>Expertise in Test Cases Design and Test Data management</li><li>Expertise in tools like PostMan, SOAP UI, WinSCP, Oracle, Jenkins, GitHub and AppDynamics.</li><li>Should be well versed with Agile testing and Continuous Testing</li><li>Experience with Test Management tools</li><li>Knowledge on AZURE DEVOPS&nbsp;</li><li>Understanding of SAFe Agile methodologies</li><li>Should be solution-oriented and have problem solving aptitude</li><li>Should have excellent communication and presentation skills</li><li>Knowledge on Logistics domain will be an advantage</li><li>Good to have Performance Testing experience.</li><li>Knowledge on JMeter / Performance center will be an advantage.</li><li>Any certifications in test automation</li></ul>

Responsibilities: <ul><li>Analyze DEX tool data to identify trends, predict issues, and propose proactive interventions to enhance employee digital experience.</li><li>Develop, test, and maintain scripts and tools using PowerShell and Python to automate repetitive tasks and improve system performance.</li><li>Work with data warehouses like Redshift and analytics platforms such as Databricks. Use SQL or another programming language to work with databases and create dashboards to extract insights and develop actionable recommendations.</li><li>Develop dashboards and reporting tools using SysTrack and Microsoft Power BI to provide visibility into key performance metrics.</li><li>Collaborate with IT Service Desk and Desktop Support Teams to identify opportunities for automation and efficiency improvements.</li><li>Proactively engage with stakeholders to understand business requirements and translate them into technical solutions.</li><li>Design and implement innovative ideas to enhance customer service and reduce the mean time to resolution (MTTR).</li><li>Act as a consultant to various teams, providing technical expertise in the use of DEX tools and scripting languages.</li><li>Lead initiatives to integrate new technologies or methodologies that improve the IT environment and employee satisfaction.</li><li>Conduct Root Cause Analysis (RCA) on recurring issues and propose permanent solutions.</li><li>Engage with vendor support resources to resolve complex technical challenges and evaluate new technologies.</li><li>Work with APIs to integrate and enhance system capabilities, ensuring seamless interaction between tools and platforms.</li></ul> Requirements: <ul><li>Proficiency in DEX tools like SysTrack, Nexthink, or similar platforms.</li><li>Strong coding skills in PowerShell and Python.</li><li>Hands-on experience with data analytics platforms, such as Databricks, and data warehouses like Redshift. Proficiency in SQL as a programming language for working with databases and creating dashboards.</li><li>Expertise in Microsoft Power Apps and Power BI for data visualization and automation.</li><li>Experience in working with APIs for system integration and enhancements.</li><li>Deep understanding of IT environments, including endpoint devices, software, and cloud-based tools.</li><li>Ability to interpret data and provide actionable insights to improve digital employee experience.</li><li>Strong problem-solving skills, with experience conducting RCA and developing innovative solutions.</li><li>Demonstrated ability to identify and act on trends and opportunities in emerging technologies.</li><li>Knowledge of IT Service Management frameworks (e.g., ITIL) and their practical application.</li></ul>

Responsibilities: <ul><li>Manage a team of data scientists and engineers to design, develop, and deploy advanced AI solutions</li><li>Lead the development of AI and machine learning models to solve business problems</li><li>Research, build, and deploy models based on shallow and deep machine learning</li><li>Train robust NLP-based models on large datasets</li><li>Collaborate with cross-functional teams to align AI solutions with business goals and customer needs</li><li>Design APIs for disseminating data science outputs</li><li>Oversee the scaling of production systems to meet growing demands</li></ul> Requirements: <ul><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li><li>Strong problem-solving skills and the ability to think outside the box. </li></ul>

Responsibilities: <ul><li>Manage a team of data scientists and engineers to design, develop, and deploy advanced AI solutions.</li><li>Lead the development of AI and machine learning models to solve business problems.</li><li>Research, build, and deploy models based on shallow and deep machine learning.</li><li>Train robust NLP-based models on large datasets.</li><li>Collaborate with cross-functional teams to align AI solutions with business goals and customer needs.</li><li>Design APIs for disseminating data science outputs.</li><li>Oversee the scaling of production systems to meet growing demands.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Communicating findings and insights to stakeholders in a clear and concise manner.</li><li>Staying current with the latest AI and machine learning trends and technologies.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Driving best practices across our data science functions.</li><li>Setting strategy and team direction, with a clear vision for Data Science.</li><li>Working with product leaders to apply data science solutions.</li><li>Evaluating and creating new frameworks and defining methodologies and governance.</li><li>Leading small- to medium-sized teams (direct or indirect).</li><li>Setting a high-bar for model development.</li></ul> Requirements: <ul><li>Have substantial experience in a senior data scientist role.</li><li>Have experience in leading complex projects and customer relationships.</li><li>Have significant experience in managing larger Technical teams (direct or indirect).</li><li>Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues.</li><li>Be a natural problem solver, able to take a lead in collaborating to resolve issues.</li><li>Have excellent communication skills and the ability to convey information clearly to senior stakeholders.</li></ul> Highly Desired Skills and Experience: <ul><li>PhD or Masters degree in Computer Science, Mathematics, Statistics, or a related field.</li><li>7-10+ years of experience in AI and machine learning.</li><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li><li>Strong problem-solving skills and the ability to think outside the box. </li></ul>

Responsibilities: <ul><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems. Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units. Overseeing the scaling of production systems to meet growing demands.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units.</li><li>Overseeing the scaling of production systems to meet growing demands.</li></ul> Requirements: <ul><li>Possess an advanced or Masters education in Computer Science, Mathematics, Statistics, or a related field. Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.</li><li>Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.</li><li>Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.</li><li>Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.</li><li>Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests Possess advanced programming skills in Python, R, or other relevant languages for data analysis.</li></ul>

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16 restful apis Jobs found

Learning Management Specialist

Software Development Engineer in Test

Senior SDET – Human Risk Team

Sr Engineer – Identity & Consent

Pricing Analyst

QA Tester

Senior Proactive Engineer

Senior Manager Data Science

Manager, Data Science (GNS)

Senior Data Scientist

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16 restful apis Jobs found

Learning Management Specialist

Software Development Engineer in Test

Senior SDET – Human Risk Team

Sr Engineer – Identity & Consent

Pricing Analyst

QA Tester

Senior Proactive Engineer

Senior Manager Data Science

Manager, Data Science (GNS)

Senior Data Scientist

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.