Principal Consultant-Integration Engineer

Inviting applications for the role of Principal Consultant-Integration Engineer

Technology and Responsibilities:

• Experience in GenAI project [Good to have]

• Programming Languages

• Python (Django, Flask)

• Frameworks

• Django / Flask (Python)

• Express.js (Node.js)

• Databases

• Relational: MySQL, PostgreSQL, Oracle

• NoSQL: MongoDB, Redis, Cassandra

• Server, Hosting & Deployment

• Docker & Kubernetes

• CI/CD tools (Jenkins, GitHub Actions)

• Cloud platforms (AWS, Azure, GCP)

• Security

• Authentication & Authorization (OAuth, JWT)

• Data validation & sanitization

• Version Control

• Git (GitHub, GitLab, Bitbucket)

• API & Microservices Development - Design scalable RESTful APIs services. Secure AI endpoints using OAuth2, JWT authentication, and API rate limiting.

• Lead the design, development, and optimization of complex Python applications and systems.

• Architect scalable and secure backend solutions, ensuring best practices in coding and design.

• Guide junior developers through mentoring, code reviews, and technical leadership.

• Collaborate with product owners, architects, and stakeholders to translate business requirements into technical solutions.

• Ensure system performance, reliability, and scalability through monitoring and optimization.

• Contribute to setting coding standards, best practices, and development processes.

• Drive automation, CI/CD integration, and DevOps practices in Python development.

Qualifications we seek in you!

Minimum Qualifications

• Python Programming: Proficiency in Python programming language.

• Knowledge of PL/SQL programming language and Oracle database concepts.

• Experience with integrating Python applications with Oracle databases using PL/SQL.

• Understanding of data analysis concepts and experience with data visualization tools.

• Strong problem-solving skills and ability to debug code.

Preferred Skills

• Experience with big data frameworks (PySpark, Dask) or data pipelines (Airflow, Luigi).

• Knowledge of DevOps practices and tools (Jenkins, GitHub Actions, Terraform).

• Familiarity with security practices in Python application development.

• Exposure to machine learning libraries (scikit-learn, TensorFlow, PyTorch) for AI-driven applications.

• Leadership in designing enterprise-grade applications and managing development teams.