The Role
The Full Stack Engineer will develop and maintain web applications using Python. Responsibilities include collaborating on designs, coding, API management, testing, and ensuring code quality.
Summary Generated by Built In
We are seeking a highly skilled Full Stack Engineer with expertise in Python to join our team. As a Full Stack Engineer, you will be responsible for developing and maintaining both the front-end and back-end components of our web applications. You will collaborate with cross-functional teams to design, implement, and deploy scalable solutions that meet our business requirements. The ideal candidate should have a strong foundation in Python development and be proficient in both front-end and back-end technologies.
Responsibilities:
- Develop and maintain high-quality web applications using Python and associated frameworks.
- Collaborate with product managers, designers, and other stakeholders to gather requirements and define project specifications.
- Design and implement scalable and efficient solutions that meet business requirements and align with best practices.
- Develop and maintain APIs and integrate them with front-end components.
- Create and optimize database schemas, queries, and performance tuning.
- Implement secure authentication and authorization mechanisms.
- Write clean, well-documented, and maintainable code.
- Conduct code reviews and provide constructive feedback to ensure code quality and adherence to standards.
- Perform unit and integration testing to ensure robustness and reliability of the software.
- Troubleshoot and debug issues reported by users or identified during testing.
- Stay updated with emerging technologies, industry trends, and best practices in web development.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Strong proficiency in Python programming language and its associated frameworks (e.g., Django, Flask).
- Experience in front-end technologies such as HTML, CSS, JavaScript, and modern JavaScript frameworks (e.g., React, Angular, Vue.js).
- Solid understanding of web technologies including HTTP, RESTful APIs, and web security.
- Proficiency in database design and development using SQL and familiarity with ORMs (e.g.,SQLAlchemy).
- Familiarity with version control systems (e.g., Git) and collaborative development workflows.
- Knowledge of software engineering principles, design patterns, and best practices.
- Experience with cloud platforms (e.g., AWS, Azure) and deployment of web applications.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration abilities.
- Ability to work effectively in a fast-paced and dynamic environment.
Good to have Qualifications:
- Experience in building scalable and distributed systems.
- Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines.
- Experience with Agile development methodologies.
Skills Required
- Bachelor's degree in Computer Science, Engineering, or a related field
- Strong proficiency in Python programming language and its associated frameworks (e.g., Django, Flask)
- Experience in front-end technologies such as HTML, CSS, JavaScript, and modern JS frameworks (e.g., React, Angular, Vue.js)
- Solid understanding of web technologies including HTTP, RESTful APIs, and web security
- Proficiency in database design and development using SQL and familiarity with ORMs (e.g., SQLAlchemy)
- Familiarity with version control systems (e.g., Git) and collaborative development workflows
- Knowledge of software engineering principles, design patterns, and best practices
- Experience with cloud platforms (e.g., AWS, Azure) and deployment of web applications
- Strong problem-solving skills and attention to detail
- Excellent communication and collaboration abilities
- Ability to work effectively in a fast-paced and dynamic environment
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The Company
What We Do
Koantek is a Databricks-exclusive system integrator focused on enterprise-scale data and AI transformation, helping clients modernize, migrate, and scale AI solutions.







