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Execute manual test cases across payment migration flows validating transactions, refunds, chargebacks, and edge cases across OMS, Salesforce Commerce Cloud, and returns systems. Log and track defects, maintain test results for reporting, collaborate with automation QA in a shift-left model, follow QA standards and defect processes, support multiple workstreams, and participate in post-launch hypercare.

The Senior AI NodeJS Engineer develops AI Agentic solutions, collaborating with teams, managing tasks, ensuring quality code, and staying updated on AI technologies.

The Senior Software Engineer will develop and maintain scalable Java applications, focusing on backend logic, application health, and code quality within a collaborative, multi-team environment for a data retrieval platform.

The AI Solutions Architect will lead the design of GenAI solutions, evaluate AI frameworks, support presales efforts, and ensure solutions are scalable and secure.

Lead design and delivery of Databricks-based Lakehouse solutions and end-to-end data engineering projects. Build and optimize ETL, streaming and batch pipelines, integrate cloud and on-prem systems, mentor team members, support pre-sales, and ensure governance, security, and platform performance.

Design, build, and operationalize AI agentic solutions across the software lifecycle. Own backend responsibilities, contribute to frontend, define technical requirements, deliver maintainable code, collaborate with clients, and stay current with AI, LLM orchestration, and evaluation practices.

As a Senior Full-Stack C#/.NET Engineer, you will fork and set up existing applications, implement architectural adjustments, and ensure deployment in Azure. The role requires close collaboration with stakeholders and troubleshooting legacy code.

As a Senior Project Manager, you'll lead AI and software delivery projects, overseeing all phases from scoping to execution, collaborating with various teams and clients to ensure successful outcomes.

Deliver end-to-end data science projects using machine learning and deep learning, collaborate with stakeholders, and support client engagement through analytical planning and solution design.

The Data Engineer will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.