USEReady Technology - Senior Software Engineer/Consultant - Python/Django/AngularJS

Job Location : Remote

Job Title : Senior Software Engineer Consultant (Python/Django)-US EST Shift

Target Start Date : ASAP

Role Overview :

The Senior Software Engineer will be focused on extending the Python/Django REST microservices platform for a modern high profile system. In addition to core development, the ideal candidate will integrate, deploy, and maintain machine-learning models (e.g. recommendation engines, predictive analytics, NLP interfaces) in AWS.

Key Technical Areas :

- Core Stack : Python 3.x, Django REST Framework, SQL/RDS, Angular or React front-ends

- Cloud & DevOps : AWS (EC2, S3, Lambda, RDS, ElasticSearch, SQS/SNS, SageMaker), Docker/Kubernetes, Jenkins or CodePipeline

- AI/ML Integration : Collaborate with data scientists to productionize TensorFlow/PyTorch models, build MLOps pipelines (MLflow, Kubeflow), implement CI/CD for model retraining and monitoring

- Data & Compliance : Design data schemas and pipelines for training/inference, ensure FERPA-compliant data governance and privacy

Job Description :

KEY RESPONSIBILITIES :

Development & Architecture :

- Implement and maintain Python/Django REST services and Angular/React front-ends.

- Design and optimize SQL database schemas; build data pipelines for ML training and inference.

- Integrate machine learning models (e.g., TensorFlow, PyTorch) into microservices for features like course recommendations, retention risk scoring, and automated data validation.

Cloud & DevOps :

- Build and manage AWS infrastructure : EC2, S3, Lambda, RDS, Elasticsearch, SQS/SNS, and SageMaker (or equivalent).

- Extend CI/CD pipelines (Jenkins, AWS CodePipeline, Docker/Kubernetes) to support automated model retraining, testing, and deployment.

- Monitor system and model performance; implement logging, alerting, and cost-optimization best practices.

Collaboration & Mentorship :

- Partner with Data Science to translate business use cases into ML workflows (data ingestion, feature engineering, and model tuning).

- Review peers' code and mentor junior developers on Python, Django, AWS services, and MLOps practices.

- Communicate complex technical and AI/ML concepts clearly to both technical and non-technical stakeholders.

Standards & Compliance :

- Enforce coding, security, and data-privacy standards (FERPA compliance) across development and deployment.

- Maintain documentation for codebases, ML pipelines, and operational runbooks.

- Participate in sprint planning, estimation, and technical roadmapping.

REQUIRED EXPERIENCE :

- Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent hands-on experience.

- 5+ years of software development experience, including :

- Python and Django (or similar frameworks), REST APIs, and Angular/React (or similar).

- SQL and object-relational mapping; designing and tuning relational databases.

- AWS cloud services : EC2, S3, Lambda, RDS, Elasticsearch, and SQS/SNS.

- Git, CI/CD pipelines (Jenkins, CodePipeline), containerization (Docker), and orchestration (Kubernetes).

- 1 to 2 years of experience integrating or deploying machine learning models in production.

- Strong analytical, problem-solving, and debugging skills.

- Excellent communication, teamwork, and ability to manage shifting priorities.

DESIRED EXPERIENCE :

- Master's degree or higher in a technical field (Data Science, AI/ML, Computer Science).

- Prior work on Higher Education or Student Information Systems.

- Hands-on experience with MLOps frameworks (MLflow, Kubeflow) and cloud ML services (SageMaker, Vertex AI).

- Familiarity with NLP libraries (spaCy, Hugging Face Transformers) for chatbots or text analytics.

- Experience with data governance, privacy regulations, and ethical AI practices in educational contexts.