Senior Java Fullstack Developer (Java+Angular)

Wissen Technology is hiring forSenior JavaFullstackDeveloper (Java+Angular)

About Wissen Technology:

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don't just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

Job Summary:We are seeking an experienced Data Pipeline Engineer / Full Stack Java Developer with 8–13 years of experience to design, build, and operate scalable, reliable data pipelines and full-stack applications for enterprise data platforms. This is a hands-on individual contributor role requiring strong expertise in Java, Spring Boot, Angular, and cloud-native development, along with experience in building end‑to‑end data and application solutions.

Experience:8- 10 Years

Location:Mumbai / Pune

Mode of Work: Hybrid

Key Responsibilities:

• Design, build, and operate scalable data pipelines for enterprise data platforms.
  
• Develop and maintain Java-based backend services using Spring Boot, Hibernate/JPA, and REST APIs.
  
• Build responsive frontend applications using Angular or similar frameworks.
  
• Collaborate with cross-functional teams to define, design, and deliver new features.
  
• Optimize application and data pipeline performance for scalability and reliability.
  
• Develop clean, maintainable, and testable code using unit testing frameworks (JUnit, Mockito).
  
• Participate in code reviews, debugging, and troubleshooting across backend and frontend layers.
  
• Work with CI/CD pipelines, containerization (Docker/Kubernetes), and cloud platforms (AWS/Azure/GCP)
  
• Ensure data quality, consistency, and reliability across systems.
  
  

Required Skills and Qualification

• 8+ years of experience in Java development and full-stack application design.
  
  
• Strong proficiency in Java, Spring Boot, Hibernate/JPA, and REST API development.
  
• Hands-on experience with frontend frameworks such as Angular, React, or Vue.js (preferably Angular).
  
• Strong knowledge of SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB).
  
• Experience building and managing data pipelines and data platforms.
  
• Familiarity with CI/CD tools (Jenkins, Git, GitHub Actions) and containerization (Docker, Kubernetes).
  
• Experience with cloud platforms such as AWS, Azure, or GCP.
  
• Strong problem-solving skills and ability to work independently.
  
  

Good to have Skills

• Experience with big data technologies or streaming systems (Kafka, Spark, etc.).
  
• Exposure to microservices architecture and distributed systems.
  
• Knowledge of data governance, data quality, and observability frameworks.
  
• Experience working in Agile/Scrum environments.
  
• Understanding of performance tuning and scalability practices in large-scale systems.
  
  

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