Back End Developer

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.