Staff Software Engineer

• Design and develop scalable, maintainable, and reusable backend services and components with a strong emphasis on performance and reliability.
• Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery.
• Build robust, extensible APIs and services using Java and modern backend frameworks, ensuring flexibility for customer-specific needs.
• Contribute to the design and implementation of new products and features while enhancing existing product capabilities.
• Integrate automated testing into development workflows to ensure consistent quality across releases.
• Participate in design and code reviews ensuring best practices in performance, maintainability, and testability.
• Develop comprehensive test strategies covering functional, regression, integration and performance aspects.
• Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality.
• Promote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team. Qualifications

To be Successful in this role :

• Experience in leveraging critical thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI s potential impact on the function or industry.
• 9+ years of experience in software engineering, with a track record of delivering high-quality products.
• Strong proficiency in Java and object-oriented programming; experience with Python or other languages is a plus.
• Experience building RESTful APIs and distributed backend services.
• Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization.
• Familiarity with automated testing frameworks (e.g., JUnit, TestNG, Mockito) and integrating tests into CI/CD pipelines.
• Understanding of software quality principles including reliability, observability, and production readiness.
• Ability to troubleshoot complex distributed systems and optimize performance across backend services.
• Experience with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency.
• Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems.

• Why Join Us

• Build and deliver high-impact software that powers platforms used by millions of users.
• Collaborate in a culture that values craftsmanship, quality, and innovation.
• Work symbiotically with AI and automation tools that enhance engineering excellence and drive product reliability.
• Be part of a culture that encourages innovation, continuous learning, and shared success.