Backend Developer, AWS - Django

March 4

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MindTech

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MindTech is a company offering IT outsourcing solutions focused on nearshore development with a strong presence in Latin America. They provide services such as staff augmentation, customized projects, and management of specific projects through external teams. MindTech handles business intelligence, data science, machine learning, and various app development services for iOS and Android platforms. The company leverages technologies such as React, Node. js, Python, . NET, and Java to deliver enterprise applications, cloud operations, and data engineering. MindTech is known for its fast and cost-effective solutions, aiming to drive digital transformation across multiple industries while ensuring high-quality product delivery through QA testing and automation. The company's expertise also extends to cybersecurity and the utilization of Salesforce & SAP for personalized customer experiences. With over 17 years of experience and a commendable customer satisfaction score, MindTech positions itself as a strategic ally in technological and digital transformation for its clients.

51 - 200 employees

🤝 B2B

☁️ SaaS

🏢 Enterprise

📋 Description

• Design, develop, and optimize backend services in Python for a neural network-based singing voice synthesis library aimed at research. • Design and implement cloud-based job submission for GPU-based inference workloads. • Deploy, monitor, and scale applications on AWS, GCP, or Azure. • Build and integrate APIs, data pipelines, and cloud infrastructure to support ML/AI workloads. • Collaborate with cross-functional teams, including ML engineers, DevOps, and product teams, to optimize performance and efficiency. • Implement best practices for cloud security, cost efficiency, and scalability.

🎯 Requirements

• Strong Python development skills with at least 5 years of experience in backend or full-stack applications. • Possess understanding of generative AI applications, models, and frameworks (OpenAI, Anthropic, CUDA, Langchain, Bedrock, VertexAI, etc.) • Experienced with backend workflow automation tooling (e.g. Airflow, Dagster, AWS Step Functions, or similar) • Experience with cloud computing (AWS preferred, but GCP or Azure is acceptable). • Experience with Relational and Non-Relational Databases • Familiarity with GPU-based workloads, inference, and job scheduling in cloud environments. • Hands-on experience with containerization (Docker, Kubernetes) and serverless computing. • Experience with APIs, microservices, and scalable backend architectures. • Proficiency with CI/CD pipelines, infrastructure-as-code (Terraform, CloudFormation, or similar). • Knowledge of data processing frameworks (e.g., Apache Spark, Dask) is a plus. • Strong problem-solving skills and ability to work in a fast-paced environment. • Nice to have: amateur-level (or higher) experience as singer or instrumentalist