Job Description

Term: December 03, 2025- March 31, 2026
Location: Onsite/Hybrid, 5700 Yonge St, Toronto, ON
Our client is seeking a Senior Software Developer
Key Deliverables for Senior Software Developer:
Product Requirements: Translate complex technical and business needs into secure, scalable Java services using Spring Boot. Collaborate with architects, product owners, and SMEs to define service capabilities, data access layers, and AI-enhanced features.
Product Delivery: Design and implement production-grade APIs, data workflows, and integration logic. Build robust CI/CD pipelines, support automated deployments, and ensure code quality through testing and reviews. Optimize SQL queries and ETL logic for performance and reliability.
Prioritization: Scope and plan Agile increments, manage backlog items, and prioritize enhancements based on business impact and technical feasibility. Address production issues proactively, ensuring high availability and performance of deployed services.
Collaboration: Partner with data engineers, analysts, and AI/ML specialists to align service layers with enterprise data models and embed intelligent features. Participate in on-call rotations, mentor developers, and promote engineering best practices. Integrate third-party services securely and support responsible AI usage through monitoring, auditability, and privacy controls.
Must Haves:
7+ years hands-on Java development in an enterprise environment, including Spring Boot, REST API design, integration patterns, and production support / incident management.
Strong SQL and data handling expertise: capable of analyzing schemas, building optimized queries, integrating APIs with data stores, and enforcing data quality in service logic.
Proven experience supporting applications in production: triaging defects, analyzing incident root cause, applying hotfixes, improving resiliency and performance.
Ability to consume and operationalize AI services: call LLM endpoints, handle prompt/response patterns, enforce guardrails, and log usage safely.
Practical understanding of core ML / LLM concepts (supervised vs unsupervised learning, prompt engineering, retrieval, drift) sufficient to collaborate with data/AI teams and ship AI-enabled features.
Comfort working in a secure, governed environment (privacy, PII protection, access control, auditability).

Skills Required