Top Tech Jobs & Startup Jobs

Own product information quality and movement from business teams to market. Validate, enrich, upload, and syndicate product data through inRiver and other PIM systems. Resolve data gaps with stakeholders, support channel data issues, communicate requirements, track launch status, and maintain syndication templates for retailers and marketplaces.

Own the transition of AI/ML models from experimentation to production. Build scalable infrastructure, automation, and CI/CD pipelines; implement monitoring, dashboards, drift detection, experiment tracking, and model versioning; and manage cloud environments and GPU resources for reliable, cost-effective deployments. Collaborate with data scientists and AI researchers to productionize models. The role requires onsite work in Dallas, Texas.

Own the transition of AI/ML models from experimentation to production. Build scalable infrastructure, automation, CI/CD workflows, monitoring, drift detection, experiment tracking, and model versioning. Collaborate with data scientists and AI researchers to productionize models, while managing cloud environments and GPU resources for reliable, cost-effective deployments. The role requires onsite work in Dallas, Texas.

Own the transition of AI/ML models from experimentation to reliable production deployment. Build scalable infrastructure, automation, and CI/CD workflows; implement monitoring, dashboards, drift detection, experiment tracking, and model versioning. Collaborate with data scientists and AI researchers, while managing cloud environments and GPU resources for scalable, cost-effective operations. The role requires onsite work in Dallas, Texas.

Own the transition from AI/ML experimentation to reliable production deployment. Build scalable infrastructure, automation, and CI/CD workflows; implement monitoring, dashboards, drift detection, experiment tracking, and model versioning. Collaborate with data scientists and AI researchers to productionize models, while managing cloud environments and GPU resources for scalable, cost-effective operations. The role requires onsite work in Dallas, Texas, despite conflicting remote-work language in the benefits section.

Build and maintain backend services primarily with Java and Spring Boot, while supporting an Angular frontend. Design RESTful APIs, transition database-centric systems toward domain-driven architecture, and work with complex SQL, PostgreSQL, Oracle, JPA, and Hibernate on high-transaction platforms. Collaborate within cross-functional Agile squads to deliver scalable, high-quality features. Cloud, Docker, CI/CD, legacy modernization, and loyalty or fintech experience are advantageous.

Develop and maintain Python scripts to integrate SAST, DAST, and SCA security gates into CI/CD pipelines, tune scanning tools to reduce false positives, deploy hardened baselines, and provide code-level remediation guidance to development teams.

Build and maintain automated test frameworks for a large-scale platform using TypeScript and Playwright. Develop functional, integration, and API tests; integrate test suites into CI/CD pipelines; troubleshoot defects; and contribute independently to production backend code. The role initially emphasizes test automation, with opportunities to expand into Java or Kotlin backend engineering. Cloud, containerization, microservices, performance, reliability, accessibility, and contract testing experience are beneficial.

Develop and support complex Salesforce Service Cloud solutions using Apex, LWC, Flows, REST and Bulk APIs. Maintain Aura and Visualforce components, integrations, and CI/CD pipelines. Support AI-enabled workflows, omnichannel routing, case orchestration, and Salesforce-to-data-platform integrations. Participate in production support and DFR rotations by monitoring platform health, triaging alerts, investigating automation failures, managing incidents, and documenting findings.