Senior Software Developer Jobs

Senior Software Developer

Randstad

Location:
Canada , North York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Our client is looking for a Senior Software Developer for a 5 month contract in North York. Do you have 7+ years hands-on Java development in an enterprise environment, including Spring Boot, REST API design, integration patterns, and production support / incident management? Do you have 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? If so, this would be a great opportunity for you! ...

Job Responsibility:

Design, build, and maintain secure, scalable Java services and APIs using Spring Boot
Translate technical requirements into production-grade application code, integration logic, and robust data access layers
Write clean, testable Java (unit, integration, regression), contribute to CI/CD pipelines, and support automated deployments
Design, build, and optimize data workflows – including SQL queries, ETL logic, and caching for reliability, integrity, and performance in production
Collaborate with data engineers and analysts to ensure service-layer alignment with enterprise data models and reporting needs
Diagnose and resolve production issues (performance, defects, incidents)
participate in on-call / support rotations as needed
Review code, enforce engineering standards, document solutions, and mentor intermediate developers
Collaborate with architects, QA, product owners, and business SMEs in an iterative / Agile delivery model to plan, scope, and land increments
Apply AI/ML capabilities (LLMs, retrieval-augmented generation, classic ML models) to enhance existing Java services where appropriate
Design and consume AI-backed services (e.g., classification, summarization, recommendations, reasoning assistants) through secure REST integrations
Support model lifecycle activities such as monitoring output quality, drift awareness, and safe, auditable usage of AI features

Requirements:

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)
Strong Java and Spring Boot experience building enterprise services at scale (API design, dependency management, error handling, observability, performance tuning)
Advanced SQL fluency (Oracle, MySQL, PostgreSQL) — complex joins, window functions, data validation, and query optimization
Working knowledge of data modeling, ETL/ELT pipelines, and API-driven data integration
Hands-on experience with Git, automated testing, secure coding practices, code reviews, and CI/CD pipelines
Experience deploying containerized services (Docker) to managed platforms or Kubernetes
comfort with production-grade runtime concerns (logging, metrics, alerts)
Ability to integrate third-party / platform services and expose them through hardened APIs
Familiarity with responsible use of AI services in production: PII handling, privacy controls, auditability, bias/safety considerations
Ability to translate business needs into technical designs and incremental deliverables
strong troubleshooting and communication skills

Nice to have:

Asset: exposure to AI/ML development workflows (Python, data prep, prompt design, vector search, etc.)
ability to partner with data/AI specialists and embed their outputs in Java services
Integration of AI assistants / copilots / LLM features (for example: routing a user request from a Java service to Azure OpenAI, Copilot, Bedrock, etc.)
Retrieval-augmented generation patterns (prompt construction, grounding with vector stores such as FAISS, pgvector, Azure AI Search)
Experience with analytics and data visualization tools (Power BI, Looker, or Tableau) to surface operational and model KPIs
Understanding of data governance and quality frameworks (metadata management, lineage, audit trails)
Experience in case management / benefits administration domains (for example, Curam or similar social services platforms)
Experience with secure handling of sensitive client data (privacy, masking, role-based access, audit trails)

What we offer:

Earn a competitive rate within the industry
Potential for extension

Additional Information:

Job Posted:
December 23, 2025

Expiration:
January 29, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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