Essential Duties and Responsibilities

• Design, build, and maintain scalable backend services and APIs using Python and Django.
• Develop and optimize data storage solutions with PostgreSQL and Redis, ensuring reliability and
  performance.
• Implement Elasticsearch for search and analytics across large datasets.
• Architect and operate distributed systems that handle high-throughput and low-latency workloads.
• Build and operate asynchronous task queues and background workers using Celery and Redis.
• Write clean, maintainable, and unit-test–focused code with strong coverage using pytest.
• Build and maintain REST APIs, ensuring proper authentication, authorization, and versioning
• Monitor, troubleshoot, and optimize backend services for scalability, reliability, and cost-effectiveness.
• Collaborate with frontend, QA, DevOps, and product teams to deliver end-to-end solutions.
• Document technical designs, APIs, and operational runbooks.
• Perform other backend software engineering duties as assigned and according to capability

Required Education and Experience

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven experience developing and maintaining backend systems in production environments.
• Strong programming expertise in Python and Django.
• Hands-on experience with PostgreSQL, including schema design and query optimization.
• Experience with Redis for caching, message queues, or real-time data.

Preferred Experience

• Practical use of Elasticsearch for indexing, search, and data analytics.
• Experience building and consuming APIs, including documentation and testing.
• Solid understanding of distributed systems design patterns.
• Strong focus on unit tests and automated testing using pytest or similar frameworks.
• Proficiency with Docker and containerized application deployments.
• Proven experience with Celery and managing background workers in production.
• Familiarity with CI/CD pipelines and DevOps practices.
• Agile/Scrum team experience

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.