Senior Software Engineer (Full Stack)

Key Responsibilities:

• Software development on backend (Python,TypeScript) and frontend (TypeScript/JavaScript - 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 automated testing pipelines.
• 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, TypeScript/JavaScript - React framework.
• Experience in building data intensive applications in a modern technology stack: Cloud services (AWS), 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 automated testing strategies.
• Understanding of System Integration patterns.

Preferred:

• Experience working with AWS Cloud
• 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 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.