Job Overview
Role: Associate, Software Development/Engineering Location: Noida Experience: 1 – 5 Years Qualification: B.E / B.Tech / B.Sc / M.E / M.Tech / M.Sc Key Skills: Java 17+, Spring 6, Kubernetes, Docker, AWS, Hibernate
Job Description
For the S&P Global Recruitment 2026 drive, the team is seeking an experienced Java Developer to design, develop, and maintain high-performance enterprise applications. You will operate in a dynamic environment, transitioning seamlessly between backend development, API integrations, and cloud deployments. You will collaborate closely with architects, product managers, and finance stakeholders to deliver robust, scalable solutions. A deep understanding of cloud-native development —specifically using Docker, Kubernetes, and AWS—is essential for this role.
Roles and Responsibilities
- Application Development: Designing, developing, and maintaining scalable and high-performance Java applications.
- Cloud Integration: Utilizing cloud platforms ( AWS ), containerization ( Docker ), and orchestration ( Kubernetes ) for cloud-native deployment.
- Full SDLC: Participating in the complete software development lifecycle—from requirements gathering to design, testing, and deployment.
- Code Optimization: Optimizing application performance, troubleshooting complex issues, and participating in code reviews to enforce best practices.
- Collaboration: Working effectively with cross-functional and multi-national teams to align technical solutions with business needs.
Skills and Eligibility Criteria
Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Experience: 1 to 5 years of hands-on experience in Java development.
Mandatory Technical Skills:
- Expertise in Java 17+ and Spring Framework 6
- Strong proficiency with Hibernate and building RESTful APIs
- Experience in Cloud-Native environments: AWS, Docker, Kubernetes
- Strong understanding of software design patterns and object-oriented principles
Competencies:
- Financial knowledge, familiarity with finance jargon, or prior experience in fintech
- Enthusiasm for or familiarity with Data Science / Machine Learning
- Demonstrable experience in scoped application development