6 cloud application developer jobs at 2 companies in Huntsville, TX
🚀PromotedHiringCafe
Founding Full-stack / Product Engineer
Cupertino, CA, US
$130k-$300k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Help us build a 100× better job search engine. We need a full-stack engineer with great taste, sharp fundamentals, and a track record of shipping polished product on React/Next.js plus a real backend (Firebase, Elasticsearch, Redis, Stripe).
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
5+ YOE5–8+ years in application security; CI/CD security; SBOM/NIST/SSDF knowledge; secrets management; WAF and API security; SAST/DAST/SCA; cloud security; programming in Python/Java/Go/Node.js.
Principal AI & Machine Learning Engineer, Spring, Texas, Onsite
Spring, Texas, United States
$152k-$349k/yrOnsiteFull Time
Hewlett Packard EnterpriseNYSE: HPE: Provides global edge-to-cloud technology solutions and IT infrastructure services.
10+ YOE10+ years software engineering experience focused on AI/ML application development and deployment; Kubernetes, MLOps, cloud, Python, CI/CD experience; team leadership and AI governance knowledge.
Principal AI & Machine Learning Engineer, Spring, Texas, Onsite
Spring, Texas, United States
$152k-$349k/yrOnsiteFull Time
Hewlett Packard EnterpriseNYSE: HPE: Provides edge-to-cloud IT infrastructure and platform services.
10+ YOE10+ years software engineering with AI/ML application development and deployment; expertise in Kubernetes, MLOps tools, cloud platforms, Python, CI/CD; Bachelor’s or Master’s in CS/Engineering/AI/ML or related.
Principal AI & Machine Learning Engineer, Spring, Texas, Onsite
Spring, Texas, United States
$152k-$349k/yrOnsiteFull Time
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
10+ YOE10+ years in software engineering focused on AI/ML application development and deployment; expertise with Kubernetes, MLOps, cloud platforms, Python and CI/CD; leadership and mentoring experience; Bachelor’s or Master’s in CS/Engineering/AI/related.