About the Role
We are seeking a Backend Engineer with strong expertise in Python with Flask or other Python
backend frameworks. You will design, develop, and maintain APIs and backend services that
power high-volume, data-intensive applications.
This role involves integrating applications with Azure Functions, building robust APIs for AI-
driven workflows, and ensuring high performance, scalability, and reliability. You will collaborate
with frontend, DevOps, and data teams to deliver end-to-end solutions.
Key Responsibilities
- Design and implement backend services, APIs, and integrations with external systems.
- Develop scalable, secure, and high-performance applications using modern backend
frameworks.
- Optimize application performance, database queries, and overall system efficiency.
- Collaborate with frontend engineers to ensure smooth integration of APIs and data flows.
- Work with DevOps and QA teams to enable CI/CD pipelines, automated testing, and
deployments.
- Write clean, maintainable, and well-documented code.
- Participate in code reviews, debugging, and troubleshooting production issues.
- Ensure backend systems are compliant with security best practices and data protection
standards.
Required Skills & Experience
- 5+ years of experience in backend development.
- Proficiency in Python backend frameworks (Flask, FastAPI, or Django).
- Strong experience with RESTful API development.
- Database expertise: PostgreSQL, MySQL, MongoDB, or Redis.
- Experience with message queues (RabbitMQ, Kafka, or Celery).
- Solid understanding of software design patterns, microservices architecture, and scalability
best practices.
- Hands-on with version control (Git/GitHub) and collaborative workflows.
- Knowledge of Docker and containerized deployments.
- Familiarity with cloud infrastructure (Azure preferred) for backend hosting.
Good-to-Have Skills
- Experience with other backend stacks (Java, Go, C#, Node.js).
- Familiarity with React, Angular, or Vue.js to support frontend-backend collaboration when
required.
- Basic understanding of CI/CD pipelines, containerisation (Docker), and orchestration
(Kubernetes).
- Exposure to Prometheus, Grafana, ELK stack for system monitoring and troubleshooting.
- Experience with Azure (preferred) or AWS/GCP, Terraform for infrastructure-as-code, cloud
networking, and security fundamentals.
- Understanding of deployment strategies, networking, and scaling workloads in Kubernetes.
- Awareness of cloud-native security, API security, and best practices for securing distributed
systems.
Who Should Apply
Experienced backend engineers who enjoy solving complex problems and building reliable
systems, with an interest in supporting AI-driven solutions.
