Predigle - Software Developer - Full Stack Engineering (1-4 yrs)

Predigle is Hiring for the Role of Full Stack Developer [Angular 14+/Python-Django/MongoDB]!

About the Company :

Predigle, an EsperGroup company, is an American multinational organization focused on building a disruptive technology platform that revolutionizes the way businesses conduct their daily operations. Predigle has grown rapidly to offer multiple products and services.

Primary Technical Skills :

- HTML, SCSS, Typescript, JavaScript, Core Java, Data Structures, XML/JSON/YAML

- Frontend : Material UI, Angular 14+

- Backend : OOPS, Adv Python (or) Golang, Rest API, Django framework exposure is a plus

- Databases : MongoDB, SQL / PostgreSQL

- Testing : Automated Unit & Functional Testing. Selenium, Pytest exposure is a plus

- Add-on Technical Skills : MEAN or MERN stack framework exposure is a plus

- Cloud : Google Cloud Platform (GCP). Cloud Certifications are a plus

- CI/CD & DevOps : Git, Docker, Kubernetes, Kafka. Knowledge of DevOps tools is a plus

Responsibilities :

- Write, debug, and maintain code

- Maintain code integrity and structure

- Design, develop, test, and deploy robust, scalable, and secure back-end APIs and microservices

- Collaborate closely with front-end developers, product teams, and stakeholders to translate business requirements into effective back-end solutions

- Develop clean, maintainable, and well-documented code, adhering to coding best practices

- Perform systems analysis and design for new and existing applications

- Maintain software quality by proactively thinking through all edge cases and addressing them

- Support applications and/or services as and when required

- Collaborate with the rest of the engineering team to design and launch new features

- Continuously find ways to enhance existing functionality/features in the apps

- Design & build software for NFR (non-functional requirements) - apps built for reliability, high availability, scalability, and performance

- Optimize database performance, ensure data integrity, and handle large-scale data processing

- Troubleshoot and resolve production issues, ensuring system uptime and performance

- Stay current with the latest back-end technologies, industry trends, and security standards, recommending and integrating improvements as necessary

- Experience with cloud platforms (e.g., GCP) and containerization technologies (e.g., Docker) is a plus

- Familiarity with message queuing systems (e.g., Kafka) and DevOps