Overview

Job Title: Software Engineer (III) - Core Engineer III

Responsibilities

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

Qualifications

• Engineer III Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.
• 6+ years in IT; 4+ years in 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).
• Familiarity with Python (useful for AI/ML pipeline integrations).
• Knowledge of Application Performance Monitoring (APM) tools (e.g., Google Cloud Monitoring, Dynatrace).
• TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Education

• Bachelors or Masters degree in Computer Science or a related field.
• Bachelor's Degree
• 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.