#D870ECB2284C2545017B477C54C11057-9b3048
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:
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
Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math.)
Additional Information
Relocation Assistance Provided: Yes