Top Tech Jobs & Startup Jobs

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 of AI/ML models from experimentation to reliable production. Build scalable infrastructure, automation, and CI/CD workflows; implement monitoring, dashboards, drift detection, experiment tracking, and model versioning; and manage cloud environments and GPU resources for cost-effective deployment. Collaborate with data scientists and AI researchers to productionize models. This onsite Dallas role requires U.S. work authorization, relevant technical experience, and strong MLOps, containerization, cloud, and AI/ML knowledge.

Build and maintain full-stack features for a production healthcare platform using React, Next.js, TypeScript, Node.js, and PostgreSQL. Contribute to AI/LLM-adjacent codebases, work with sensitive regulated data, and collaborate with product, QA, and design teams in an Agile environment.

Build scalable full-stack applications for merchant processing, compliance automation, and AI-enabled operational tools. Develop React frontends and C#/.NET backends, design APIs and data flows, contribute to Azure cloud infrastructure, implement automated testing and secure software practices, and support Azure-hosted LLM solutions. The role also involves architecture contributions, AI-assisted coding, code reviews, operational delivery, and establishing development practices in a fast-growing engineering organization. Daily onsite work in Irvine, California is required.

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.

Integrate and script SAST, DAST, and SCA security gates into CI/CD pipelines, tune scanners to reduce false positives, deploy hardened baselines, and provide code-level remediation guidance to development teams using Python and Java.

Implement and maintain Python automation to integrate SAST/DAST/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.

Design, build, and maintain scalable backend REST APIs (Python/FastAPI or Flask) and responsive React/TypeScript frontends. Surface, validate, and resolve issues in data from ETL pipelines, data lakes, and ML outputs. Manage PostgreSQL schemas/migrations, containerize apps with Docker, use AI-assisted tools responsibly, collaborate with engineers, and own problem definition in ambiguous, ad hoc environments.

Lead a regional cross-functional DevSecOps pod in a follow-the-sun delivery model. Oversee ASPM integrations, AI-enabled secure code scanning, secure code reviews, infrastructure architecture, technical escalations, and shift handoffs across time zones. Provide technical direction, mentorship, and ownership of system performance, structural integrity, and security in a regulated enterprise environment.

Leads a regional DevSecOps engineering pod in a follow-the-sun program. Responsibilities include ASPM integrations, AI-enabled secure code scanning, shift handoffs, technical escalations, secure code reviews, infrastructure architecture guidance, system security and performance ownership, mentorship, and delivery leadership in regulated enterprise environments.