Sr Java Backend Developer

Job summary

Design, develop, and maintain high-performance backend services using Java, Spring Boot, and Microservices architecture. Integrate Generative AI and LLM capabilities into backend workflows while ensuring scalability, resiliency, and performance.

Job details

Sr Java Backend Developer (10 + yrs exp) Toronto, ON - Hybrid (4 Days WFO) 6-12 months Role Descriptions: Key ResponsibilitiesDesign| develop| and maintain highperformance backend services using Java (17+)| Spring Boot| and Microservices architecture.Build and expose RESTful and eventdriven APIs supporting enterprisescale applications.Integrate Generative AI / LLM capabilities (e.g.| text generation| summarization| Q&A| classification) into backend workflows.Design| test| and optimize prompts and prompt orchestration strategies to ensure accuracy| determinism| and performance.Develop AIaware backend components such as:Prompt templates and prompt pipelinesRetrievalAugmented Generation (RAG) servicesAI inference orchestration layersImplement secure API integrations with AI platforms and internal data sources| ensuring compliance with enterprise security standards.Apply prompt versioning| evaluation| and monitoring techniques to improve AI output quality over time.Ensure nonfunctional requirements: scalability| resiliency| performance| and observability.Contribute to CI/CD pipelines| containerization| and cloudnative deployments.Participate in code reviews| architecture discussions| and technical design decisions.Support production systems and troubleshoot complex backend or AIintegration issues.Required Technical SkillsCore Backend Engineering5+ years of strong handson experience in Java backend development.Expertise in Java 11/17+| Spring Boot| Spring MVC| Spring Security.Solid experience in Microservices| REST APIs| and API design (OpenAPI/Swagger).Experience with containers and cloud platforms (Docker| Kubernetes| OpenShift| Azure/AWS).Strong knowledge of SQL and NoSQL databases (e.g.| DB2| PostgreSQL| MongoDB).Experience in CI/CD| DevOps practices| and automated testing.AI & Prompt EngineeringHandson experience integrating Large Language Models (LLMs) into backend systems.Strong understanding of prompt engineering techniques| including:Zeroshot| fewshot| and chainofthought promptingPrompt templates and dynamic prompt generationGuardrails| validation| and hallucination reductionExperience building RAGbased solutions using vector stores and embeddings.Familiarity with AI orchestration frameworks or SDKs ( enterprise or opensource ).Ability to evaluate prompt and model responses for quality| bias| and consistency.Security & ComplianceExperience implementing OAuth2.0| JWT| SSL/TLS| and secure API patterns.Awareness of data privacy| PII handling| and AI governance in regulated environments (BFSI preferred).

What you’ll do

Design, develop, and maintain high-performance backend services using Java, Spring Boot, and Microservices architecture. Integrate Generative AI and LLM capabilities into backend workflows while ensuring scalability, resiliency, and performance.

Requirements

Requires over 10 years of experience in Java backend development with expertise in Spring Boot and cloud-native deployments. Candidates must have hands-on experience integrating LLMs and building RAG-based solutions.

Listed skills

• Microsoft Azure · Preferred
• Kubernetes · Preferred
• SQL · Preferred
• REST APIs · Preferred
• CI/CD · Preferred
• Docker · Preferred
• Amazon Web Services · Preferred
• Java · Preferred
• prompt engineering · Preferred
• Spring Boot · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Java
• Spring Boot
• Microservices
• REST APIs
• Generative AI
• LLM
• Prompt Engineering
• RAG
• Docker
• Kubernetes
• Azure
• AWS
• SQL
• NoSQL
• CI/CD
• OAuth2.0

Job areas

• Technology
• Software
• Engineering
• Consulting
• Data & Analytics

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