[Hiring] Lead Python Developer @Weekday AI

Role Description

We are seeking a highly skilled and motivated Python Developer with robust experience in building and optimizing scalable software solutions on AWS. This role requires expertise in applying Python across both general backend systems (API development) and data-intensive applications (ETL/automation) with focus on Kafka. The ideal candidate will leverage their strong Python knowledge, AWS cloud computing skills, and modern software practices to ensure high-performance, secure, and reliable systems.

Key Responsibilities

• Core Python & Application Development
  • Design & Development: Utilize extensive expertise in Python to develop, automate, and enhance solutions spanning both data and application layers.
  • Backend Systems: Create and deploy reliable backend services and RESTful APIs, demonstrating a strong grasp of the overall backend architecture.
  • Web Frameworks: Use your experience with Python web frameworks such as Flask, FastAPI, or Django to build scalable, high-quality applications.
  • Scalability & Security: Maintain high performance, scalability, security, and resilience across all applications and infrastructure.
• AWS, Kafka & Database
  • Cloud Proficiency (AWS): Exhibit solid experience in deploying, managing, and supporting Python applications and services within the AWS environment.
  • Kafka / MSK: Design and develop scalable microservices that utilize asynchronous messaging through Kafka to enable low-latency and resilient transaction processing.
  • Database Proficiency: Show expertise in database management by writing advanced SQL queries and implementing Object-Relational Mapping (ORM) methods.
  • Methodologies: Collaborate effectively in a fast-paced setting using software development practices such as Agile/Scrum.

Qualifications

• At least 7 years of professional software development experience with a significant focus on Python.
• Essential experience with core AWS cloud services including Lambda, RDS, Step Functions, S3, EC2, CloudWatch, API Gateway, MSK, Redis, Timestream, Athena, among others, for application hosting, deployment, and infrastructure management.
• Demonstrable experience with one or more major Python web frameworks (Flask, FastAPI, or Django).
• Experience working with Kafka or other messaging systems like RabbitMQ or ActiveMQ, including producing and consuming data from Kafka topics.
• Strong skills in both relational and NoSQL databases, with advanced knowledge of SQL and ORM techniques.
• Familiarity with containerization technologies such as Docker and a solid understanding of orchestration principles.

Good to Have

• Proven experience in creating and optimizing production-level ETL and data pipelines.
• Capability to design, build, and maintain highly scalable ETL processes and data pipelines for handling and analyzing extensive datasets.
• Practical experience with specialized AWS data services like Glue, Athena, Kinesis, and EventBridge.
• Experience in developing and managing data warehouses, data lakes, and complex integrations with CRM systems and analytics platforms.

Skills

• Python
• AWS
• Kafka