Backend Developer (AWS, Django)

Mindtech is your gateway to exciting and impactful tech projects. We specialize in end-to-end software outsourcing, linking Latin American talent with global opportunities. Our fast, cost-effective approach ensures that our clients receive exceptional service and innovative solutions. With a diverse team of over 70 skilled professionals across Latin America and the US, we are committed to delivering software that drives success.

Position Overview:

We are seeking a Senior Python Cloud Developer to join our team and play a key role in developing and deploying backend systems in the cloud related to a music-gen AI project. The ideal candidate is a strong Python developer with experience in cloud-based job submission for GPU workloads and inference. While there is a slight preference for AWS, we are open to expertise in GCP or Azure if that aligns with the candidate’s background.

Key Responsibilities:

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.

Desired skills & Qualifications:

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