Cotiviti US & Canada Page
Principal Software Engineer
Cotiviti US & Canada Page, Myrtle Point, Oregon, United States, 97458
Overview
Employer Industry: Technology - Machine Learning Operations (MLOps) Why consider this job opportunity
Opportunity for significant influence in designing a cutting-edge MLOps platform Competitive salary commensurate with experience Collaborative work environment with a focus on innovation Chance to engage in executive business reviews and manage key stakeholder relationships Work with advanced technologies like AWS, Kubernetes, and MLFLOW Potential for professional growth in a rapidly evolving field What to Expect (Job Responsibilities)
Design and architect the overall MLOps platform Lead security and authentication integration across systems Establish technical standards and architectural guidelines Drive technology selection and roadmap creation for the platform Conduct executive business reviews and manage stakeholder relationships What is Required (Qualifications)
8+ years in software architecture with a focus on ML infrastructure Expertise in large-scale distributed systems design Deep knowledge of MLFLOW, AWS EMR/SageMaker, Kubernetes, and Prometheus Experience with secure authentication and service design Strong background in data modeling and system integration How to Stand Out (Preferred Qualifications)
Experience with ML governance and compliance frameworks #MachineLearning #SoftwareArchitecture #MLOps #CloudComputing #TechnologyLeadership We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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Employer Industry: Technology - Machine Learning Operations (MLOps) Why consider this job opportunity
Opportunity for significant influence in designing a cutting-edge MLOps platform Competitive salary commensurate with experience Collaborative work environment with a focus on innovation Chance to engage in executive business reviews and manage key stakeholder relationships Work with advanced technologies like AWS, Kubernetes, and MLFLOW Potential for professional growth in a rapidly evolving field What to Expect (Job Responsibilities)
Design and architect the overall MLOps platform Lead security and authentication integration across systems Establish technical standards and architectural guidelines Drive technology selection and roadmap creation for the platform Conduct executive business reviews and manage stakeholder relationships What is Required (Qualifications)
8+ years in software architecture with a focus on ML infrastructure Expertise in large-scale distributed systems design Deep knowledge of MLFLOW, AWS EMR/SageMaker, Kubernetes, and Prometheus Experience with secure authentication and service design Strong background in data modeling and system integration How to Stand Out (Preferred Qualifications)
Experience with ML governance and compliance frameworks #MachineLearning #SoftwareArchitecture #MLOps #CloudComputing #TechnologyLeadership We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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