Job Description Summary

Job Description

Key Responsibilities

• Architect design and develop cloudnative multitenant SaaS backend services using Java and the Spring ecosystem.
• Define and evolve scalable secure and highperformance 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

• 1012 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.

Leadership & Collaboration

• Ability to influence system architecture and technical direction across multiple teams.
• Strong communication skills to translate complex technical concepts to diverse stakeholders.
• Proven experience mentoring engineers and fostering engineering excellence.
• Comfortable balancing deep hands-on development with technical leadership and ownership.

Education

• Bachelors Degree in Computer Science or STEM Majors (Science Technology Engineering and Math)

Additional Information