Senior Software Engineer (React + Python)
Argentina / Brazil / Colombia
Application Development – Full-stack Development /
Remote
Solvd is an AI-first advisory and digital engineering firm on a mission to redefine how AI transforms business. Working at the intersection of strategy and execution, we help clients move from experimentation to real ROI through the industry’s most advanced strategic advisory, data and platform engineering, and AI integration services. We’re an AI-native firm with over 12 years of experience, supported by offices in the USA, Brazil, Mexico, Ukraine, Poland, Argentina and Georgia.
We are seeking a highly skilled and self-driven Senior Software Engineer (React + Python) to join our growing team.
Responsibilities:
- Understand the product and engineering roadmap and act as a subject matter expert on advanced infrastructure and platform capabilities, features, and offerings.
- Work with the Product Owner to vet requirements, ensuring that they are detailed enough for the development team.
- Participate and provide leadership in the application design and development activities.
- Independently identify opportunities to improve system scalability and stability; implement enhancements and best practices in accordance with modern development principles and methodologies.
Requirements:
- A bachelor’s degree in Computer Science, Engineering or a related subject.
- Minimum 5-7 years of experience in software development.
- Minimum 4 years of experience as a full-stack developer.
- Ability to collaborate with team members with different skills and different levels of experience.
- Strong communications skills.
- Willingness and ability to learn on the job.
- Ability to foster a positive team environment.
- Ability to mentor junior members of the team.
Leverage your skills and experience in the following:
- Programming languages: Python, React.
- AWS services: Athena, S3, Redshift, ECS, RDS, Lambda, Step Functions.
- Frameworks: Flask, Tornado, and Django.
- Agile software: Scrum, TDD, continuous integration, automated testing.
- Data tools: Pandas, Numpy, and Airflow.
