Staff Software Engineer

• Architect, design, and develop cloud‑native, multi‑tenant SaaS backend services using Java and the Spring ecosystem.
• Define and evolve scalable, secure, and high‑performance system architectures for distributed, multi-tenant platforms.
• Design and implement microservices-based architectures, ensuring loose coupling, resiliency, and scalability.
• Build SaaS capabilities such as tenant isolation, configuration management, feature flags, and role-based access control.
• Develop and maintain RESTful and event-driven services integrated with UI, data, and platform layers.
• Leverage containerization (Docker) and orchestration (Kubernetes) to deploy and scale services in cloud environments.
• Collaborate with cloud and DevOps teams to implement CI/CD pipelines for build, test, security scan, and deployment.
• Apply Test-Driven Development (TDD) and test automation to ensure high code quality and system reliability.
• Design systems with strong emphasis on security, observability, performance, and fault tolerance.
• Use Python to build lightweight microservices, automation scripts, or rapid prototypes where appropriate.
• Explore and apply AI/ML, GenAI, and LLM-based solutions to improve platform capabilities and engineering productivity.
• Mentor engineers, conduct design and code reviews, and drive backend engineering standards across teams.
• Partner closely with product management and architecture teams to align technical solutions with business goals.

Must-Have Skills & Qualifications

• 10–12 years of software engineering experience, with significant hands-on work in backend and distributed systems.
• Strong proficiency in Java and Spring (Spring Boot, Spring Cloud).
• Deep understanding of object-oriented design principles, design patterns, and clean architecture.
• Proven experience designing and building secure, scalable, high-performance distributed systems.
• Strong experience with microservices architectures.
• Hands-on experience with:
  • Containerization: Docker
  • Orchestration: Kubernetes
  • Cloud platforms: AWS
• Solid experience with Git, Jenkins, and modern CI/CD practices.
• Strong experience with Test-Driven Development (TDD), test automation, and continuous integration.
• Experience building and operating production-grade SaaS platforms.

Good-to-Have Skills

• Experience with Python for scripting, automation, or building lightweight microservices.
• Exposure to Python-based ML, GenAI, AI tools, and LLM models.
• Hands-on experience using AI coding assistants (e.g., GitHub Copilot) to improve developer productivity.
• Familiarity with event streaming, messaging systems, or distributed data stores.
  • Experience with observability tools for monitoring, logging, and tracing in cloud-native systems.