Full Stack lead Developer (Java, Angular, Scala)
Role details
Job location
Tech stack
Requirements
We are seeking a highly skilled Full Stack Engineer with 3+ years of experience in Angular and Java, along with hands-on exposure to Scala and Apache Spark, to join our team. The ideal candidate will have expertise in Angular (TypeScript, RxJS), Java (Spring Boot, Spring MVC), RESTful API development, and database technologies (SQL and NoSQL). You will play a key role in designing, developing, and delivering scalable end-to-end solutions, spanning responsive frontend applications, robust backend services, and efficient data processing pipelines, while collaborating with cross-functional teams to drive innovation and business success., Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
In this role, you will:
Frontend (Angular)
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Design and develop dynamic, responsive web applications using Angular
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Build reusable, modular components and Angular modules
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Manage application state and data flow using RxJS and NgRx/NgXS
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Integrate RESTful APIs and handle asynchronous data streams
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Ensure performance optimization, lazy loading, and accessibility standards
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Collaborate with UX/UI designers to deliver intuitive user experiences
Backend (Java)
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Design, develop, and maintain scalable backend services using Java (Spring Boot / Spring MVC)
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Build and expose RESTful or GraphQL APIs for frontend consumption
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Implement business logic, workflows, and data processing layers
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Manage authentication and authorization using Spring Security, OAuth2, or JWT
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Work with relational and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.)
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Optimize application performance, memory management, and scalability
Data / Big Data Engineering (Scala)
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Develop data pipelines and processing workflows using Scala and Apache Spark
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Build and maintain ETL/ELT processes for large-scale data processing
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Work with distributed data systems such as Kafka, Hadoop, or Flink
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Optimize Scala code for performance in high-throughput, low-latency environments
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Collaborate with data engineers and analysts to deliver data-driven features
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Work with cloud data platforms such as AWS EMR, Databricks, or GCP Dataproc