Fullstack Developer

Description:

We are looking for a highly motivated Full Stack Backend Software Intern to join our team. The ideal candidate should have a strong interest in AI, LLM (Large Language Models), and related technologies, along with the ability to work independently and complete tasks with minimal supervision.

Responsibilities:

• Research and gather requirements for backend software projects.
• Develop, test, and maintain backend components of web applications.
• Collaborate with front-end developers to integrate user-facing elements with server-side logic.
• Optimize applications for maximum speed and scalability.
• Implement security and data protection measures.
• Stay up-to-date with emerging technologies and industry trends.
• Complete tasks with minimal hand-holding and supervision.
• Assist with frontend tasks using JavaScript and React if required.

Requirements:

• Proficiency in backend development languages such as Python or Node.js
• Familiarity with frontend technologies like HTML, CSS, JavaScript, and React.
• Experience with relational and non-relational databases.
• Understanding of RESTful APIs and microservices architecture.
• Knowledge of AI, LLM, and related technologies is a plus.
• Ability to work independently and complete tasks with minimal supervision.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.
• Currently pursuing or recently completed a degree in Computer Science or related field.

Benefits:

• Opportunity to work on cutting-edge technologies in AI and LLM.
• Hands-on experience in developing backend systems for web applications.
• Mentorship from experienced developers and engineers.
• Flexible working hours and a supportive work environment.
• Possibility of a full-time position based on performance.
• 
  

If you are passionate about backend development, AI, and LLM, and are eager to learn and grow in a dynamic environment, we would love to hear from you. Apply now to join our team as a Full Stack Backend Software Intern.

You will:

• Write excellent production code and tests and help others improve in code-reviews
• Analyze high-level requirements to design, document, estimate, and build systems
• Coordinate across teams to identify, resolve, mitigate and prevent technical issues
• Coach and mentor engineers within the team to develop their skills and abilities
• Continuously improve the team's practices in code-quality, reliability, performance, testing, automation, logging, monitoring, alerting, and build processes

You have:

For (Fullstack):

• 2 - 10 Years of experience
• Strong with DS & Algorithms
• Hands on Experience in the Programming languages: JavaScript (React or Angular), Python, SQL.
• Experience with AWS.

For (Geo Team):

• 4 - 10 years of experience
• Experience with Big Data technologies like Hadoop, Spark, Map Reduce, Kafka, etc
• Experience using object-oriented languages (Java, Python)
• Experience in working with different AWS technologies.
• Experience in software design, architecture and development.
• Excellent competencies in data structures & algorithms.

For (Backend):

• 2 - 10 years of experience
• Hands on product development experience using Java/ C++/Python
• Experience with AWS,SQL,GIT
• Strong with Data structures and Algorithms

Additional nice to have skills/certifications:

For Java skill set:

Mockito, Grizzly, Netty, VertX, Jersey / JAX-RS, Swagger / Open API, Nginx, Protocol Buffers, Thrift, Aerospike, Redis, Kinesis, Sed, Awk, Perl

For Python skill set: Data Engineering experience, Athena, Lambda, EMR, Spark, Glue, Step Functions, Hadoop, Kinesis, Orc, Parquet, Perl, Awk, Redshift

For (Data Engineering):

• 2 - 10 years of experience
• Experience with object-oriented/object function scripting languages: Python.
• Experience with AWS cloud services: EC2, RDS, Redshift,S3,Athena, Glue
• Must be proficient in GIT, Jenkins, CICD (Continuous Integration Continuous Deployment)
• Experience in big data technologies like Hadoop, Map Reduce, Spark, etc
• Experience with Amazon Web Services and Dockers

Relevant work experience in ASP.net, C#

At least 2 years of experience with WCF Services

Very strong C# fundamentals
Has experience in building applications in C#

Experience and proficiency in client-side scripting languages, in particular HTML, CSS, and JavaScript

Experience and proficiency in cloud environment, in particular AWS

Additional skills-

- experience of handling Photon Engine

- knowledge of Scripting language like Python, Shell

- Knowledge of apache web server and php application deployment

- Performance monitoring- apps and cloud infra

• Design and develop high-volume, low-latency applications for mission-critical systems, delivering high-availability and performance.
• Contribute in all phases of the development lifecycle.
• Write well designed, testable, efficient code.
• Ensure designs are in compliance with specifications.
• Prepare and produce releases of software components.
• Build and deploy on to AWS
• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Job Description:

• Knowledge of front-end technologies like Vue JS/ Angular JS / ReactJS .
• Basic knowledge of GIT or  BitBucket  or TFS or Jenkins
• Experience in technologies like Devops, NodeJS, ExpressJS, .Net Core
• Understanding of Microservice architecture , Docker containers and  Database designs
• Knowledge of various AWS services such as CloudWatch, Lambda, EC2, ECS, S3, AWS Document DB/DynamoDb, Cloud formation
• Soft skills - Self driven and independent, Good team player, good interpersonal skills, Flexible and Proactive, Good communication with client.
• Building reusable components and front-end libraries for future use.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.
• Ability to understand business requirements and translate them into technical requirements.
• Translating designs and wireframes into high quality code.
• Review the React code of team members, Help technically where-ever required as a one- team approach.