Software Engineer, Platform & Integrations (Santo Domingo)
Team: Research & Development
Location: Remote - Santo Domingo
Commitment: Full Time
Workplace Type: remote
You Have
- Expertise in at least one popular Python framework (i.e. Django)
- Excellent Communications Skills in English
- 3+ years in Software Development, preferably in a SaaS environment
- Understanding of and experience with SQL, NoSQL Databases, and Caching engines such as MSSQL, MySQL, MongoDB, Redis
- Strong knowledge of object oriented design, coding, and test patterns
- Experience working as part of an “agile” development team
- Understanding using Git for version control in a team environment
- Understanding of Continuous Integration / Continuous Deployment tools and techniques
- Understanding of how to utilize Docker and Kubernetes to build highly scalable applications
- Aptitude towards numerical data manipulation and analysis
- Ability to communicate clearly and concisely, verbally and in writing
- Desire to take ownership and work autonomously while being part of a close-knit team
- Ability to work independently and solve problems
- Experience working with Salesforce APIs is a plus
- Experience with Microsoft Azure services
You Will
- Design, build, and maintain scalable backend services using Python and modern frameworks (e.g., Django)
- Contribute to the modernization of the platform by migrating existing services to Python
- Develop data integration services and connectors to support multiple products and clients
- Work with SQL and NoSQL databases, as well as caching technologies, to ensure performance and reliability
- Build, test, and maintain clean, well-structured, and well-documented code following best practices
- Collaborate closely with product managers, engineers, and cross-functional teams in an Agile environment
- Participate in code reviews, architecture discussions, and technical decision-making
- Use Git for version control and follow CI/CD practices for efficient and reliable deployments
- Leverage Docker and Kubernetes to build and scale highly available applications
- Analyze and work with large datasets, supporting data processing and analytics initiatives
- Take ownership of features and services from design through deployment and maintenance
- Troubleshoot, debug, and resolve complex technical issues independently and collaboratively
- Communicate clearly and effectively in English, both verbally and in writing
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