Senior Cloud Software Engineer (AWS/AI)- (full stack) bei ECSTECH

ECS is seeking a Senior Cloud Software Engineer (with AI/ML) expertise to work in our Memphis, TN office in a hybrid capacity.

ECS is seeking a Senior Cloud Software Engineer with deep expertise in full-stack development, cloud infrastructure, and AI/ML integration. This role involves designing and deploying intelligent, scalable solutions in AWS environments, with a strong emphasis on modernizing analytical workflows and embedding machine learning capabilities into mission-critical systems.

The ideal candidate is a versatile technologist who thrives in fast-paced environments, rapidly adapts to emerging tools and platforms, and consistently delivers innovative, data-driven solutions. You’ll play a key role in transitioning legacy services to the cloud, collaborating with a team of developers and architects to build resilient platforms that support advanced analytics, real-time processing, and intelligent automation.

You should be able to apply scientific rigor, business insight, and engineering best practices to solve complex customer challenges. This includes evaluating data accuracy, deploying ML models, and building systems that extract actionable insights. You’re an expert in computer science, engineering, or business, and capable of mentoring others while sharing your cloud and AI/ML expertise across teams and contracts.

Key Responsibilities

• Lead the design, development, and deployment of full-stack software solutions, including RESTful APIs, modern JavaScript-based user interfaces, and scalable cloud-native architectures
• Architect and implement complex analytical workflows and AI/ML pipelines, integrating models into production systems for AWS services
• Define and manage data exchange processes between internal and external systems, ensuring secure, high-throughput communication and interoperability
• Apply deep expertise in software engineering to troubleshoot and resolve intricate system-level issues, using best practices in performance tuning, testing, and code reviews
• Rapidly prototype intelligent applications and analytical tools to support dynamic client initiatives, leveraging infrastructure-as-code and DevOps automation
• Evaluate cloud infrastructure and data systems for accuracy, reliability, and cost-efficiency, optimizing deployments across hybrid environments
• Communicate complex technical concepts clearly across technical, managerial, and customer audiences, translating requirements into actionable solutions
• Research and analyze customer needs to deliver tailored, scalable, and secure cloud applications with embedded machine learning capabilities
• Monitor and manage deployed environments, ensuring operational stability, security, and performance
• Mentor and train team members, sharing expertise in cloud engineering, software development, and AI/ML integration across organizational boundaries