Software Engineer

Position Description:

Job Summary We are seeking a highly skilled and motivated Senior Java Full Stack Developer (5–8 years of experience) to join our dynamic engineering team. In this role, you will be responsible for designing, developing, and deploying robust, scalable, and secure end-to-end applications. The ideal candidate will possess deep expertise in Java and Spring Boot for backend services, strong proficiency in Angular for crafting modern user interfaces, and hands-on experience with Google Cloud Platform (GCP). Additionally, a strong interest or experience in integrating AI/Machine Learning APIs to build intelligent, next-generation features is highly desired. Key Responsibilities 1. Backend & Frontend Development (Full Stack) Design, develop, and maintain high-performance, scalable backend services using Java (8/11/17+) and Spring Boot. Architect and build robust, responsive, and state-of-the-art user interfaces using Angular (v18+), TypeScript, HTML5, and SCSS/CSS3. Design and implement secure, versioned, and well-documented RESTful APIs and microservices. Ensure seamless integration between backend microservices and frontend components. 2. Cloud Infrastructure & DevOps (GCP) Deploy, manage, and scale containerized applications on Google Cloud Platform (GCP) utilizing services such as GKE, Cloud Run. Work with cloud databases and storage solutions (e.g., Cloud SQL, Cloud Storage). Participate in building and maintaining automated CI/CD pipelines (Cloud build, Tekton) to ensure seamless delivery. 3. AI Integration & Innovation Integrate AI/ML capabilities into existing applications by consuming modern LLM APIs (such as Google Vertex AI, OpenAI) and building intelligent search or automation features. Collaborate with data science or AI teams to implement, test, and optimize AI-driven application workflows. 4. Database, Architecture & Code Quality Design and optimize relational database schemas (PostgreSQL, Oracle) and utilize NoSQL databases when appropriate. Write clean, well-tested, and maintainable code adhering to SOLID principles and industry design patterns. Write comprehensive unit and integration tests using JUnit, Mockito, and Jasmine/Karma (or Jest). Conduct peer code reviews and leverage tools like SonarQube, CyCode and FOSSA to maintain high standards of code quality and security. 5. Collaboration & Agile Delivery Actively participate in Agile/Scrum ceremonies (daily stand-ups, sprint planning, backlog grooming, and retrospectives). Collaborate closely with Product Owners, UI/UX Designers, and QA Engineers to translate business requirements into technical solutions. Mentor junior and mid-level developers, assisting in technical problem-solving and knowledge sharing.

Skills Required:

Full Stack Java Developer, LLM, Microservices, Spring Boot, API, GenAI, Angular, GCP, Cloud Architecture

Skills Preferred:

LLM, GenAI

Experience Required:

Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in development Required Technical Skills & Qualifications Education: Bachelor’s or Master’s degree in Computer Science or a related field. Experience: 5 to 8 years of professional experience in software development. Core Java: Deep understanding of Java, multi-threading, concurrency, memory management, and OOPs concepts. Spring Framework: Extensive experience with Spring Boot, Spring Cloud, JPA/Hibernate, and Spring Security. Frontend Framework: Strong hands-on experience with Angular, state management (NgRx/RxJS), and modern web standards. GCP Ecosystem: Hands-on experience with Google Cloud Platform services (CloudRun, Cloud SQL, Pub/Sub, IAM, Vertex AI). AI/ML Integration: Conceptual or practical experience utilizing machine learning APIs, LLMs, prompt engineering, or vector databases. Databases: Proficiency in SQL and relational database management systems (RDBMS). Tools: Proficient with Git, Gradle, Docker, and Kubernetes. Preferred/Nice-to-Have Skills Experience with Event-Driven Architecture (using Google Pub/Sub or Apache Kafka). Experience in optimizing frontend performance and loading states in Angular. Familiarity with Python (useful for AI/ML pipeline integrations). Knowledge of Application Performance Monitoring (APM) tools (e.g., Google Cloud Monitoring, Dynatrace).

Education Required:

Bachelor‘s Degree

Education Preferred:

Additional Safety Training/Licensing/Personal Protection Requirements:

Additional Information :

Additional Information The ideal candidate is a strong Java developer who embraces AI as a tool to enhance software development and application capabilities. This role focuses on building production software systems that intelligently leverage AI, rather than developing AI/ML models. Experience with traditional software engineering practices, design patterns, and enterprise architecture is paramount, with AI serving as an accelerator and feature enhancer for business solutions.