Cornerstone Off Campus Drive | Hiring Software Engineer | Hyderabad, India | Apply Now
Cornerstone Software Engineer L1 new hiring announced apply now . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below.
About Company
Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today.
Cornerstone Off Campus Drive Details:
Job Role: Software Engineer
Req No: 11206
Education: Bachelor’s degree in CS, IT, Engineering, or related field
Work Type: L1-Onsite
Location: Hyderabad, India
Position Overview
We are building next-generation platforms that leverage AI and machine learning to transform how organizations understand, develop, and deploy talent. Our applications serve enterprise clients and individual users through sophisticated web interfaces that handle complex data visualization, real-time analytics, and multi-tenant architectures.
In this role you will...
- Develop and maintain backend services using Java (Spring Boot) and Python (FastAPI).
- Build RESTful APIs following defined architectural standards; integrate with relational databases.
- Implement business logic, authentication mechanisms (JWT-based security), and microservices-based applications.
- Design, develop, and deploy AI/ML models (NLP, predictive analytics, computer vision).
- Implement Retrieval-Augmented Generation (RAG) architectures to enhance AI solutions with knowledge retrieval.
- Prepare data pipelines for training, preprocessing, and feature engineering.
- Containerize applications using Docker and support CI/CD pipelines and cloud deployments (AWS preferred).
- Write clean, testable, and maintainable code; implement unit and integration tests (JUnit, Pytest).
- Collaborate with cross-functional teams to integrate AI/ML solutions into production-ready applications.
- Monitor and optimize model and application performance; troubleshoot and resolve technical issues.
- Participate in code reviews, agile ceremonies, and knowledge-sharing initiatives.
You’ve got what it takes if you have…
Programming
- Proficiency in Java 17+ and Python 3.x
- Java: Spring Boot (REST APIs, configuration), Spring Data JPA, Spring Security basics
- Python: FastAPI, Pydantic, SQLAlchemy, async/await concepts, Pytest
AI & ML
- Knowledge of machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
- Experience in RAG architectures, model training, evaluation, optimization, and deployment
- Familiarity with large language models (LLMs) is a plus
Architecture & APIs
- REST API development and microservices concepts
- Familiarity with OpenAPI/Swagger
Database
- PostgreSQL/MySQL experience; writing queries and understanding relationships
- Exposure to migration tools
Cloud & DevOps
- Docker (basic containerization)
- Exposure to AWS services (EKS, RDS preferred)
- Familiarity with CI/CD pipelines (GitHub Actions or similar)
- Basic logging and monitoring understanding
Soft Skills
- Strong analytical and problem-solving skills
- Ability to work in Agile environments
- Good collaboration and communication skills
- Willingness to learn and adapt to new technologies
- Ownership of assigned tasks and timely delivery
How to Apply Cornerstone Off Campus Drive?
All interested and eligible candidates can apply for the drive online by the following link as soon as possible.
Application Link: Click Here
Note: Apply the job before link Expires
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