détails d'emploi
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!
...
Our client is looking for a Senior Software Developer for a 5 month contract in North York.
This is a hybrid role.
Advantages
• Earn a competitive rate within the industry.
• Location:
From October 20, 2025, the candidate is required to work onsite 4 days a week and 1 day from home
From January 5, 2026, the candidate is required to work onsite 5 days a week fully.
• Potential for extension
Responsibilities
• 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.
Qualifications
Must Have
• 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).
General Skills
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.
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.
Desirable Skills
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).
Summary
If you are interested in the Senior Software Developer role in North York, please apply online at www.randstad.ca. Qualified candidates will be contacted.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
voir plus
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!
Our client is looking for a Senior Software Developer for a 5 month contract in North York.
This is a hybrid role.
Advantages
• Earn a competitive rate within the industry.
• Location:
From October 20, 2025, the candidate is required to work onsite 4 days a week and 1 day from home
From January 5, 2026, the candidate is required to work onsite 5 days a week fully.
• Potential for extension
Responsibilities
• 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.
Qualifications
Must Have
• 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).
General Skills
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.
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.
Desirable Skills
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).
Summary
If you are interested in the Senior Software Developer role in North York, please apply online at www.randstad.ca. Qualified candidates will be contacted.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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