Platform Engineer

Company Description Flowgentic Technologies designs and implements AI-driven platforms that automate and optimize core business workflows. The company focuses on building scalable, intelligent systems that translate complex data and processes into measurable business outcomes. Team members collaborate across engineering and product to deliver solutions that are robust, secure, and adaptable to diverse industries. Joining Flowgentic Technologies offers the opportunity to work with modern AI technologies, contribute to high-impact products, and grow in a dynamic, innovation-focused environment.Role Description As a Platform Engineer at Flowgentic Technologies, you will design, build, and maintain the core infrastructure and services that power our AI-driven systems. This full-time remote role involves developing reliable and scalable platform components, implementing automation for deployment and monitoring, and ensuring high availability and performance across environments. You will collaborate with software engineers, data teams, and product stakeholders to integrate new features, optimize existing workflows, and improve developer experience. Daily responsibilities include troubleshooting platform issues, managing cloud resources, refining CI/CD pipelines, and contributing to technical documentation and best practices.Qualifications Candidates should possess strong Software Development and Programming skills, with experience in at least one modern language (e.g., Python, Go, Java, or similar) and familiarity with API-driven architectures.Candidates should possess solid Infrastructure skills, including working with cloud platforms (e.g., AWS, Azure, GCP), containerization/orchestration tools, and CI/CD pipelines.Candidates should possess practical Databases skills, covering relational and/or NoSQL databases, data modeling, and performance optimization.Candidates should possess advanced Troubleshooting skills, with the ability to diagnose complex system issues, analyze logs and metrics, and implement resilient solutions.Experience with platform engineering or DevOps practices, including automation, observability, and configuration management, is beneficial.Strong communication and collaboration abilities, with a focus on documentation, code reviews, and cross-functional teamwork.Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.Background working with AI-driven or data-intensive systems and an interest in continuous learning in cloud, infrastructure, and AI technologies is a plus.