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Manager, DevOps at Fullsteam. Location Information: US-GA-Remote, United States. . It's fun to work in a company where people truly BELIEVE in what they're doing!. Fullsteam is a leading provider of vertical software and embedded payments technology dedicated to helping businesses flourish by providing their customers with seamless experiences. With a dynamic and growing team of over 1,900 employees, we are committed to driving innovation and delivering best-in-class software and payment solutions that empower small and medium-sized businesses across numerous industries. Our purpose is to help our customers grow their businesses and delight their customers. Join us and be a part of a forward-thinking company that values growth, excellence, and the success of our clients.. PIC Business Systems specializes in providing web-based ERP (Enterprise Resource Planning) and WMS (Warehouse Management System) software solutions specifically designed for distributors, fabricators, decorators, manufacturers, window covering retailers, apparel and promotional product suppliers, franchises, fabric mills, wholesalers, and workrooms.. Job Summary:. The Manager of Infrastructure, Analytics, and ML Engineering is responsible for leading the architecture, reliability, and performance of the systems, data, and machine learning capabilities that support our ERP platform. This strategic role oversees cloud infrastructure, DevOps processes, database management, analytics, ML model development, and AI-driven business forecasting. The Manager ensures that platform scalability, uptime, data-driven decision-making, and intelligent automation are fully aligned with the business's growth goals.. Responsibility Breakdown:. ML Engineering & AI Strategy: 33%. Infrastructure & DevOps Leadership: 33%. Analytics & Data Management: 34%. Primary Responsibilities:. ML Engineering & AI Strategy (33%):. Lead machine learning strategy and roadmap across the company. Oversee the development and deployment of ML models for predictive analytics, forecasting, and business intelligence. Establish ML model lifecycle management, including training . pipelines. , A/B testing, and model monitoring. Drive AI initiatives that enhance product capabilities and customer experience. Build and maintain ML infrastructure, feature stores, and model-serving platforms. Collaborate with product teams to identify opportunities for intelligent automation and ML-driven features. Ensure ML models meet performance, accuracy, and reliability standards. Infrastructure & DevOps Leadership (33%):. Manage and mentor a growing team of ML/platform engineers. Own uptime, observability, performance, and scalability of production environments. Design and maintain CI/CD pipelines for both applications and ML model deployments. Oversee cloud infrastructure strategy and implementation (AWS preferred). Support compliance, security, and audit-related infrastructure initiatives. Develop internal tooling to improve developer and data scientist velocity. Analytics & Data Management (34%):. Oversee database administration, including tuning, backups, replication, and migrations. Build and maintain data pipelines, . ETL. processes, and data warehousing solutions. Partner with leadership to deliver business forecasting and analytics dashboards. Ensure data quality, governance, and accessibility across the organization. Collaborate with Engineering to streamline release processes and production readiness. Skills & Competencies:. 7+ years in ML Engineering, DevOps, infrastructure, platform engineering, or related technical leadership. Strong experience with machine learning frameworks (TensorFlow, . PyTorch. , scikit-learn) and . MLOps. practices. Expertise in cloud ML platforms (AWS Bedrock preferred) and model deployment strategies. Proficient in Python, R, or similar languages for data science and ML model development. Strong experience with cloud platforms (AWS preferred), CI/CD tooling, and automation. Expertise in relational databases (MySQL/Aurora), data warehousing, and big data technologies. Experience with containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform). Strong understanding of data modeling, statistical analysis, and forecasting techniques. Excellent communication and cross-functional collaboration skills. Prior experience building or leading technical teams is strongly preferred. Bonus Skills:. Experience with deep learning, NLP, or computer vision applications. Knowledge of data governance and ML model compliance frameworks. Background in ERP systems or enterprise software analytics. Fullsteam supports an inclusive workplace that values diversity of thought, experience, and background. Fullsteam is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state, or local law.. .