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Architects and engineers scalable Snowflake-based AI and data infrastructure for production applications. Designs warehouses, Snowpark workloads, AI-ready pipelines, model integrations, governance, CI/CD, observability, and cost optimization. Evaluates infrastructure technologies, leads architecture reviews, defines roadmaps and standards, ensures security and compliance, and mentors engineering teams while aligning technical solutions with client requirements and business outcomes.

The job description provides no specific responsibilities or qualifications beyond the Test Automation Engineer title. The role presumably involves developing and maintaining automated software tests, but no further details are provided.

The job description provides no specific responsibilities or qualifications beyond the Test Automation Engineer title.

Design, build, configure, and deploy AEM applications, components, and templates aligned with business requirements. Develop cloud-native AEM solutions using AEM as a Cloud Service, Cloud Manager, OSGi, and Edge Delivery Services. Collaborate across teams, provide technical leadership, make team decisions, resolve complex problems, facilitate knowledge sharing, and monitor project progress. Use AI-assisted development tools for code generation, testing, and refactoring.

Design, build, configure, test, and debug Salesforce applications supporting business processes. Collaborate with stakeholders and cross-functional teams to gather requirements, develop scalable solutions, participate in code reviews, and improve development practices. The role requires Salesforce Lightning Web Components, Apex, Salesforce APIs, web development skills, and independent subject matter expertise.

Develop and enhance scalable Java-based software systems and web services. Lead technical design, architecture, implementation, testing, debugging, code reviews, and modernization initiatives across cloud and distributed environments. Mentor engineers, guide technical direction, improve existing codebases, support customers, and collaborate with product, engineering, and cross-functional teams. Apply AWS or Azure, CI/CD, DevOps, data platforms, security practices, and emerging AI technologies to deliver robust enterprise solutions.

Designs and leads scalable software architecture across engineering teams. Responsibilities include technical design, architectural governance, platform convergence, system reliability and modernization, code reviews, mentoring, and stakeholder communication. The role requires developing .NET full-stack solutions and expertise in cloud, DevOps, microservices, REST APIs, infrastructure as code, AI/LLMs, and multi-cloud environments using AWS and Azure.

Design, build, configure, test, and debug Salesforce applications using Lightning Web Components, Apex, and Salesforce APIs. Collaborate with stakeholders and cross-functional teams to gather requirements, develop scalable solutions, participate in code reviews, and improve development practices. Work independently toward subject matter expertise while contributing to team discussions and resolving application development issues.

Designs and develops enterprise data platform solutions using Databricks, collaborating with integration and data architects to align platform components and data models. Leads AI-driven solution delivery using Generative AI and Agentic AI, including prompt engineering and evaluation frameworks, to automate processes and generate measurable business value while ensuring scalability and responsible use.

Develop and maintain ELT/data transformation pipelines using dbt on Snowflake. Build ingestion jobs with Fivetran/HVR, schedule via Maestro, perform unit testing and code reviews, troubleshoot production issues, and collaborate with data engineering, platform, and business teams.