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

Requirements

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonDjangoPostgreSQLRedisElasticsearchCeleryREST APIspytestunit testingscalable backend services

Soft Skills

collaborationtroubleshootingdocumentationcommunicationproblem-solving

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Engineering