Job Description
Key Responsibilities:
- Software development on backend and frontend (Python, SQL, REST, JavaScript, TypeScript / node.js + React framework)
- Write efficient and maintainable code following best practices in software engineering.
- Working with DevSecOps tools for deploying and versioning code.
- Deploy solutions on the cloud with CI/CD integration.
- Deliver enterprise AI projects, products, and platforms with a focus on scalability and reusability.
- Work on technical pilots and feasibility studies of new opportunities to create value and transitioning successful pilots to scalable production implementations.
- Develop integrations with other applications and services.
- Develop unit tests of the application both positive and negative cases.
- Application release and second level support
- Stay up to date with the latest advancements in software engineering technologies.
- Participate in Agile ceremonies with the team to execute on prioritized projects and features.
- Work closely with cross-functional teams, including product managers, data scientists, and software engineers, to understand requirements and deliver AI-driven solutions.
Requirements:
- 4+ years hands-on coding and software design experience building robust and scalable software using Python, SQL, REST, JavaScript, TypeScript / node.js + React framework.
- Experience in building data intensive applications in a modern technology stack: Cloud services (AWS, Azure), data pipelines, SQL/No-SQL databases (graph databases is a plus)
- Experience in designing, architecting, and maintaining applications.
- Experience building and consuming web-based APIs.
- Experience with CI/CD environments and test-driven development leveraging a Version Control system.
- Excellent collaboration and communication skills for working with cross-functional teams.
- Experienced with developing unit testing and different testing strategies such as performance testing.
- Understanding of System Integration patterns.
Preferred:
- Experience working in an Agile Methodology
- Familiar in fields related to artificial intelligence, machine learning, and data science.
- Knowledge of Generative AI solutions and applications
- Experience working with AWS Cloud
- Experience with building, deploying, and managing docker images.
Education:
- Candidates are evaluated case-by-case but appreciate qualifications in quantitative, scientific and technology disciplines such as Mathematics, Statistics, Computer Science, Data Science, Analytics, Physics, and Bioinformatics.
Current Contingent Workers apply
Data Engineering, Data Visualization, Design Applications, Software Configurations, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Designs, Systems Integration, Testing
*A job posting is effective until 11:59:59PM on the dayBEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFOREthe job posting end date.
A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.