Sr. Backend Java Developer

Senior Backend Java/Spring Developer – with AI Enablement

AI required

The Senior Backend Developer is responsible for designing, developing, and maintaining scalable, high-performance backend systems using Java and Spring technologies, bridging software development with operations, building and maintaining scalable infrastructures (AWS/GCP/on prem), CI/CD pipelines, and backend APIs. This hybrid role focuses on building robust microservices, APIs, and enterprise applications while ensuring performance, security, reliability, and automation while leveraging modern AI‑assisted tools and AI capabilities.

• Design, develop, and maintain scalable backend services and microservices using Java (17+) and Spring Boot.
• Build and optimize RESTful APIs and distributed systems ensuring high availability, performance, and security.
• Lead system design, architecture decisions, and code reviews to enforce best practices.
• Integrate AI/ML capabilities and third‑party AI services/APIs into backend systems to enable intelligent workflows and automation.
• Leverage AI‑assisted development tools (e.g., Git Hub Copilot, ChatGPT) to improve productivity, code quality, and testing efficiency.
• Develop and maintain infrastructure‑as‑code (IaC) and automated testing frameworks using JUnit and Mockito; incorporate intelligent/AI‑driven testing techniques where applicable.
• Collaborate with cross‑functional teams including frontend (Angular/React), QA, Dev Ops, and product teams.
• Implement and manage CI/CD pipelines, Dev Ops practices, and containerized deployments.
• Perform database design and optimization using Oracle, SQL, and PL/SQL.
• Monitor and support production applications using observability tools; apply intelligent monitoring and anomaly detection techniques.
• Conduct root‑cause analysis, debugging, and performance tuning.
• Ensure adherence to coding standards, security policies, and compliance requirements.
• Mentor junior developers and promote adoption of modern engineering and AI‑enabled practices.
• Stay updated with emerging technologies in backend engineering, cloud platforms, and AI‑driven development.

• 7–10+ years of experience in Java and Spring (Spring Core, Spring Boot, Hibernate) development.
• Strong expertise in object‑oriented design, microservices architecture, and distributed systems.
• Experience with Dev Ops practices, CI/CD pipelines, and branching strategies.
• Familiarity with AI‑assisted development tools and understanding of AI/ML concepts.
• Hands‑on experience with test automation and quality engineering practices.
• Experience with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).

• Sub‑skills:
  • Spring Core, Spring Boot, Hibernate
  • JUnit, Mockito testing frameworks
  • Oracle concepts, SQL, PL/SQL
  • Angular 15+

• Experience with React.
• Familiarity with Kafka (or similar messaging/streaming technologies).
• Experience with Appian or BPM tools.
• Knowledge of BPMN tools (RHPAM, IBM BPM).
• Applied understanding of Dev Ops tools and containerization (Docker Compose).
• Exposure to AI‑driven testing, predictive analytics, or intelligent automation frameworks.
• Awareness of event‑driven architecture and observability tools.
• Certifications in cloud, Dev Ops, or AI/ML technologies are a plus.

Bachelor’s/University degree or equivalent experience, potentially Master’s degree/MBA.