Live opening · Posted 5 days ago

Django Backend Lead Developer

Inherent Technologies · Washington, DC (Remote)

Linkedin Yes

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At a glance

The key details from the original listing.

Posted 5 days ago

CompanyInherent Technologies

LocationWashington, DC (Remote)

Work modeYes

SkillsPython, AWS, Azure, Docker, Kubernetes

Source

ListedPosted 5 days ago

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About the role

Description supplied by the original job listing.

Position: Django Backend Lead Developer
Location: Jersey City, NJ/Charlotte, NC ***(Remote)***
Duration: 1 Years
Key Responsibilities
Lead the development of backend systems using Django/Databricks.
Design and implement scalable and secure APIs.
Integrate Azure Cloud services for application deployment and management.
Collaborate with front-end developers, product managers, and other stakeholders to deliver comprehensive solutions.
Conduct code reviews and ensure adherence to best practices.
Optimize database performance and manage data storage solutions.
Ensure high performance and security standards for applications.
Participate in architecture design and technical decision-making.
Skill Requirements
Proficient in python programming language with a strong understanding of python frameworks.
Experience in designing and implementing microservices architecture.
Handson experience with cloud platforms such as AWS, azure, or google cloud.
Knowledge of containerization and orchestration tools like docker and Kubernetes.
Strong problem-solving skills and the ability to troubleshoot complex technical issues.
Excellent communication and leadership abilities to effectively lead a technical team.
10+ years of experience in backend development.
5+ years of experience with Django.
Experience in Databricks is a plus.
Proven experience with Azure Cloud services.
Familiarity with Agile methodologies.
Experience with database management (SQL and NoSQL).
Skills: Django, Python, Azure Cloud, SQL/NoSQL databases, RESTful APIs, Git, and Agile methodologies
Nice to have: Azure Databricks, Delta Lake and Delta tables, PySpark

Work arrangement
Yes

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