Senior Java Fullstack Developer

• Lead the design, development, and maintenance of robust, scalable full-stack applications using Python and Java across various services and platforms
• Drive technical projects from inception through deployment
• Collaborate extensively with cross-functional teams, product owners, and architects to translate business requirements into technical solutions
• Mentor and guide junior developers
• Conduct thorough code reviews
• Spearhead efforts in debugging, performance tuning, and optimizing complex systems
• Actively contribute to the continuous improvement of development processes, tools, CI/CD pipelines, and overall system architecture
• Architect and implement solutions involving various database systems, sophisticated APIs, and complex third-party integrations
• Oversee the deployment, monitoring, and operational support of applications in production environments

• Minimum of 8 years of progressive professional experience in full-stack software development
• Proficiency in Java: Expert-level command of Java 8+ and the broader Java ecosystem
• Extensive experience with enterprise frameworks like Spring Boot, Spring Cloud
• Strong understanding of JVM performance tuning, memory management, and garbage collection
• Proficiency with build automation tools such as Maven or Gradle
• Fullstack Development & Architecture: Proven experience with modern frontend technologies including HTML5, CSS3, and advanced JavaScript/TypeScript
• Expertise in designing, implementing, and optimizing complex database schemas for both relational and NoSQL databases
• Demonstrated experience with ORM/ODM frameworks
• Strong understanding of RESTful API design principles, GraphQL, and microservices architecture patterns
• General Technical & Leadership Skills: Expertise in version control systems, especially Git
• Extensive experience with designing, implementing, and managing CI/CD pipelines
• Proficient in containerization technologies (Docker) and container orchestration platforms (Kubernetes)
• Deep understanding of cloud platforms (e.g., AWS, Azure, GCP)
• Exceptional problem-solving, analytical, and debugging skills
• Proven ability to lead technical discussions, make informed architectural decisions, and drive consensus
• Excellent communication, interpersonal, and presentation skills

(Preferred) Lead the development, integration, and operationalization of machine learning models and pipelines, incorporating MLOps best practices