The Cloud Developer will lead the design, optimization, and deployment of hybrid cloud / on-prem AI solutions in support of advanced analytics. This includes integrating AI workflows, building microservices, automating deployments, and supporting DevSecOps in secure environments.
Qualifications :
Key Responsibilities :
Architect and operate hybrid cloud solutions for AI applications.Optimize cloud computing (e.g., PySpark, distributed computing, model training / inference).Build and automate tools / scripts for AI model deployment and monitoring.Develop software pipelines for data querying, merging, and analysis.Implement CI / CD pipelines and support multi-environment (dev / test / prod) operations.Integrate microservices with high-performance on-prem servers.Support security, emergency response, monitoring, and performance optimization.Collaborate with data scientists on model deployment and infrastructure.Required Skills :
Programming : Python, Bash, TerraformDevelopment : Anaconda, CI / CD (Git, Jenkins, Jira, Confluence)Cloud : AWS, cloud-based SQL databases, cloud / on-prem integrationETL : Apache NiFi or similarDevSecOps tools & cybersecurity expertiseExperience in automated testing, infrastructure deployment, and senior-level presentationsDesired Skills :
AI model fine-tuning and cloud deployment optimizationFront-end development (e.g., Flask )Data visualization using TableauGenerative AI, classification, or predictive modeling supportRCT Systems offers :
Competitive benefits package (medical, dental, vision, life insurance)Immediate 401k vestingGenerous PTO and flexible schedules$500.00 annual technology allowanceRCT Systems is committed and proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex (to include pregnancy and related conditions, sexual orientation, and gender identity), national origin, disability, veteran status, or any other federally protected class.
