Sr Software Engineer

Responsibilities

• Design, develop, and maintain robust and scalable backend systems using Spring Boot.
• Build and manage RESTful APIs and microservices architecture.
• Collaborate with frontend developers, DevOps engineers, and product teams to deliver end-to-end features.
• Ensure code quality through unit testing, integration testing, and code reviews.
• Participate in architecture discussions and contribute to technical decision-making.
• Optimize applications for performance, scalability, and security.
• Familiarity with AI tools and platforms, such as: OpenAI (GPT-3/4, Assistants API), Anthropic, or similar LLM providers.
• Ability to integrate AI capabilities into applications, such AI copilots, smart chatbots, automated data processors, content generators.
• Understanding of prompt engineering, context handling, and AI output refinement.
• Work closely with product, design, and engineering teams to deliver high-quality mobile experiences.
• Ensure the performance, quality, and responsiveness of applications.
• Write clean, scalable, and well-documented code.
• Participate in code reviews and provide constructive feedback to peers.
• Debug and fix issues, perform unit and integration testing.
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Qualifications

• A Bachelor's Degree in Computer Science, Engineering or a related field
• 5+ years of hands-on experience in backend development with Java and Spring Boot.
• Strong understanding of microservices architecture and RESTful API design.
• Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Couchbase).
• Familiarity with message brokers (e.g., Kafka, RabbitMQ) for asynchronous communication.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Solid knowledge of software development best practices, including clean code, testing, and design patterns.
• Familiar with version control systems such as Git.
• Understanding of security best practices (e.g., OAuth2, JWT, HTTPS, CSRF protection).
• 2+ years of experience on architecting fault tolerant, high scale distributed systems
• Ability to integrate AI capabilities into applications, such AI copilots, smart chatbots, automated data processors, content generators.
• Commanding knowledge of data structures, algorithms, and object oriented design
• Familiar with version control systems like Git.
• Experience with Azure, Google Cloud, Amazon Web Services and cloud specific PaaS and SaaS solutions
• Experience with mission critical, 24x7 systems
• Experience with high throughput cloud native distributed systems
• Strong problem-solving skills and ability to work independently.