Optomi, in partnership with a leader in commercial real estate technology, is looking for a Junior Full-Stack Engineer.
**Tuesday/ Thursday On-Site in Richardson, TX**
** No sponsorship available**
Position Summary: As a Software Engineer for the Valuations & Advisory Services (VAS) team, you will play a critical role in shaping the future of technology in commercial real estate (CRE). You'll design, develop, and implement innovative software solutions that power our next-generation platforms, directly contributing to the AI transformation of the VAS business. You will be part of a dynamic, cross-functional global team, contributing across the full software development lifecycle – from conceptualization to deployment and monitoring.
What the right candidate will enjoy:
- Working on cutting-edge AI/Machine Learning, Data, and predictive analytics technologies.
- Being part of a world-class engineering team that builds groundbreaking, innovative products.
- Opportunities for professional growth and learning in a fast-paced environment.
What type of experience does the right candidate have:
- Minimum of a Bachelor's degree in Computer Science or Engineering.
- 1-3 years of relevant work experience.
- 1 year of experience in the Software Development Life Cycle (SDLC).
- 1 year of experience in full-stack software development using Java Technologies such as Java Spring Boot.
- 1 year of experience in one of the Cloud Technologies of AWS, GCP, or Azure.
- 1 year of experience in database development like SQL Server, PostgresDB, Oracle, etc.
- At least 1 year of experience with RESTful APIs or Microservices.
- Knowledge of Data Science fundamentals and Data Engineering
What the responsibilities are of the right candidate:
- Execute the full Software Development Life Cycle (SDLC) to build high-quality, innovative, and performant software.
- Leverage and integrate cutting-edge AI/Machine Learning and Large Language Models (LLMs) into applications.
- Support integration efforts by writing code, testing components, and validating data flows.
- Collaborate effectively within a dynamic, cross-functional global team.
