5 years
0 Lacs
Posted:1 month ago|
Platform:
On-site
Full Time
Design, develop, and maintain backend applications, APIs, and services using Python.
• Write clean, maintainable, and scalable code following industry standards and best practices.
• Optimize application performance and ensure high availability and scalability.
• Review code and mentor junior developers to ensure code quality and foster knowledge sharing.
• Implement unit and integration tests to ensure application robustness.
• Set up and manage CI/CD pipelines using tools like Jenkins, GitLab CI, or CircleCI.
• Collaborate with DevOps to deploy applications on cloud platforms, preferably Google Cloud Platform (GCP).
• Design and build cloud-native applications using APIs, containers, and Kubernetes.
• Leverage GCP services to develop scalable and efficient solutions.
• Ensure application security, manage access controls, and comply with data privacy regulations.
• Work closely with frontend developers, DevOps engineers, and product managers for seamless project delivery.
• Design, manage, and optimize relational and NoSQL databases (PostgreSQL, MySQL, MongoDB).
• Monitor application performance using tools like Prometheus, Grafana, or Datadog. • Build dynamic, responsive UIs using Angular and JavaScript.
• Develop and maintain reusable Angular components in collaboration with UX/UI teams.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Proven experience in designing and deploying scalable applications and microservices. App Integration
experience is preferred .
• Knowledge of CI/CD pipelines – Jenkins, GitLab CI, CircleCI
• Frontend Development – JavaScript, Angular
• Code Versioning – Git
• Testing – Unit & Integration Testing
• Strong understanding of security principles, authentication (OAuth2, JWT), and data protection.
• Monitoring Tools – Prometheus, Grafana, Datadog
• Security and Compliance Standards – GDPR, PCI, Soc2
• DevOps Collaboration
• UX/UI Collaboration for Angular components
• Experience with asynchronous programming (e.g., asyncio, Aiohttp).
• Experience with big data technologies like Spark or Hadoop.
• Experience with machine learning libraries (e.g., TensorFlow, PyTorch) is a plus
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