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A leading provider of advanced simulation tools is seeking a Full Stack Developer for a fully remote position. You will engage in cutting-edge projects involving data ingestion, ETL services, and deploy scalable SaaS solutions using AWS, Azure, and GCP. This role offers competitive salary and professional growth opportunities within a collaborative environment.
Employer Industry: Simulation Technology
Why consider this job opportunity:
- Fully remote position offering flexibility in work location
- Opportunity for career advancement and growth within a leading provider of advanced simulation tools
- Collaborative and innovative work environment with a focus on redefining simulation technology
- Engage in cutting-edge projects involving machine learning and data ingestion
- Competitive salary and benefits package, including health and wellness programs
What to Expect (Job Responsibilities):
- Design, develop, and maintain data ingestion and ETL services for operational use
- Contribute to software architecture to enhance system performance and maintainability
- Implement scalable SaaS solutions using AWS, Azure, and GCP
- Build and maintain RESTful APIs, ensuring efficient endpoint design for data and model predictions
- Create technical documentation for software components, APIs, and machine learning models
What is Required (Qualifications):
- Bachelor’s or master’s degree in computer science or a related field, or equivalent experience
- 5-8 years of experience in full-stack development with languages such as C#, .Net, and Python TypeScript
- Proficiency in SaaS solution development, databases, SQL, data modeling, and RESTful APIs
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their services for application deployment
- Strong problem-solving skills and ability to analyze complex datasets
How to Stand Out (Preferred Qualifications):
- Experience with discrete event simulation (DES) and digital twin applications
- Background in data science and data engineering, including data preparation for machine learning
- Knowledge of tools such as Apache Airflow, AWS services, and CI/CD pipeline creation
- Experience with multi-tenant architecture
- Applied mathematical or statistical skills
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