Job Description

We're hiring a seasoned, hands?on Senior Software Engineer to design, build, and operate full?stack cloud applications with a strong emphasis on AI/ML-powered features. You'll work closely with product, design, QA, and engineering teams across multiple geographies to deliver scalable microservices, content?driven React + AEM front ends, and AI-enabled services on Google Cloud. Strong experience in automated testing (BDD/Gherkin) and modern test frameworks is required.



Minimum 8 years of professional experience, preferably with eCommerce platforms and integrations using full?stack technologies. Proven ability to drive delivery through cross?functional alignment and stakeholder collaboration. Strong expertise in digital front?end technologies (React) and/or full?stack development using JavaScript and Spring Boot. Comfortable making data?driven decisions to align engineering work with the product roadmap and business priorities. Active participant in engineering team ceremonies; able to collaborate across teams to execute programs within the Mobile platform. Working knowledge of cloud services and infrastructure?as?code practices. Experience with SRE practices and CI tooling (examples: Cloud Build, Tekton); able to coordinate service activities with a focus on observability, tracing, and monitoring. Demonstrated ability to work effectively in diverse, multi?stakeholder teams. Experience and willingness to operate in a global delivery model. Excellent written and verbal communication; able to adapt style to different audiences. Proven track record of driving development of complex, highly technical services and capabilities. Experience with deployments via source control/change sets and building CI/CD pipelines.

Build and maintain full?stack features using React (integrated with AEM) and Java/Spring Boot microservices. Design, implement, and operate cloud?native services on GCP cloud environments. Integrate AI/ML capabilities into products (model inference, feature pipelines, embeddings, generative AI use cases, etc.) and collaborate with data/ML teams on deployment and MLOps. Develop and maintain automated test suites (unit, API, integration, end?to?end) and author BDD scenarios. Implement test automation using Selenium, Playwright, and/or Cypress and integrate tests into CI/CD pipelines. Lead technical architecture discussions, design reviews, and cross?functional collaboration across distributed, multi?geography teams. Mentor and grow engineers via pair programming, code reviews, and coaching; promote TDD, clean code, and refactoring. * Troubleshoot production issues, participate in incident reviews, and drive reliability and performance improvements.