Back End Developer

5 days ago

Nadiad, India Kresta Softech Private Limited Full time

About the RoleWe are seeking a Backend Engineer with strong expertise in Python with Flask or other Pythonbackend frameworks. You will design, develop, and maintain APIs and backend services thatpower 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 collaboratewith frontend, DevOps, and data teams to deliver end-to-end solutions.Key ResponsibilitiesDesign and implement backend services, APIs, and integrations with external systems.Develop scalable, secure, and high-performance applications using modern backendframeworks.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, anddeployments.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 protectionstandards.Required Skills & Experience5+ 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 scalabilitybest 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 SkillsExperience with other backend stacks (Java, Go, C#, Node.js).Familiarity with React, Angular, or Vue.js to support frontend-backend collaboration whenrequired.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, cloudnetworking, 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 distributedsystems.Who Should ApplyExperienced backend engineers who enjoy solving complex problems and building reliablesystems, with an interest in supporting AI-driven solutions.

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