CoffeeBeans
Website:
coffeebeans.io
Company:
https://www.linkedin.com/company/coffeebeans-brewinginnovations
Seniority: Mid-Senior level
Industries: IT Services and IT Consulting
Job details:
Experience: 8-10 | Location: Bangalore | WorkMode: Hybrid
About Us
CoffeeBeans Consulting is a premier tech consulting firm dedicated to transforming organizations into AI-ready enterprises. We specialize in structuring data efficiently across diverse sources, enabling cutting-edge AI-driven solutions. Our expertise spans data architecture, pipelines, governance, MLOps, and Gen AI solutions, positioning us at the forefront of the evolving technology landscape.
Role Overview
As a FullStack Engineer at CoffeeBeans Consulting, you will play a pivotal role in shaping the future of AI integration across industries. This is an opportunity to leverage your expertise in Java and React to develop innovative solutions that empower organizations to harness the full potential of their data. Your contributions will not only enhance our clients' operational efficiency but also position you as a leader in the GenAI space, driving significant career transformation.
Key Responsibilities
- Design and develop scalable, high-performance web applications using Java and React.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Optimize applications for maximum speed and scalability.
- Maintain and improve existing codebases while ensuring high code quality and performance.
- Participate in code reviews and contribute to team knowledge sharing.
- Stay abreast of emerging technologies and industry trends to innovate and enhance our solutions.
Required Skills
- Proficiency in Java and React frameworks.
- Strong understanding of web development principles and practices.
- Experience with RESTful APIs and microservices architecture.
- Familiarity with version control systems, preferably Git.
Preferred Skills
- Experience with cloud platforms such as AWS or Azure.
- Knowledge of containerization technologies like Docker or Kubernetes.
- Familiarity with CI/CD pipelines and DevOps practices.
- Exposure to machine learning concepts and data engineering principles.
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