Senior Cloud Application Developer - II. Design and implement Generative AI applications, including prompt engineering, fine-tuning, and orchestration of LLM workflows. Collaborate with data scientists, MLOps, platform engineers, and product owners to deliver GenAI solutions aligned to real-world use cases. Lead the technical roadmap, architecture decisions, and delivery of GenAI projects across the enterprise. Mentor and guide a team of software engineers and AI practitioners, fostering a culture of continuous learning and innovation.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum of 6 years of experience in development, with a focus on cloud computing.
- Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and services, including compute, storage, networking, and security.
- Strong programming skills in languages such as Python, Java, or Node.js
- Experience with AWS services, including EC2, S3, Lambda, RDS, DynamoDB, API Gateway, and CloudFormation.
- Knowledge of cloud architecture patterns, best practices, and security principles.
- Experience with containerization technologies, such as Docker and Kubernetes, is a plus.
- Familiarity with data pipeline and ETL tools, such as Apache NiFi, AWS Glue, or Apache Airflow is a plus.
- Experience leading initiatives related to continuous improvement or implementation of new technologies.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance