Job Title: Mainframe Developer (Role: Senior Developer / Designer) Location: 160 Front Street West, Toronto Work Type: Hybrid (2 days/week at office) Assignment Length: 12 months Years of Experience: 8+ Detailed Job Description: - Tech stack – IBM Mainframe - JCL, COBOL, SQL, DB2, Deep IMS knowledge, Endever, File-AID, CA-7 - Tools: INSYNC, Jira, confluence, Service Now - AI: Should be AI aware / GitHub Copilot/ VSCode - Designer skills: Should be able to independently analyze IMS Segments, create detailed design, lead junior developer, participate end to end field mapping, develop/ unit test and deploy code - DB2: Great understanding of DB2 objects and processing. Should be able to independently analyze DB2 objects. - Soft skill: this person will be placed in a pod with no major mainframe experience hence person should be able to learn independently. Candidate should be a good problem solver with good ability to adapt & learn. - RTO: Expected to be in the office 2 to 4 days a week - Nice to have (non-mandatory) knowledge of Kafka & RESTful APIs Top 3 Required Skills: 1. IMS 2. DB2 3. COBOL Top 3 Preferred Skills: 1. SQL 2. CA-7 3. JCL
Role: Java angular full stack – E2E Tech Lead Location: Toronto Hybrid- 2 days a week in office Duration: 12 months Act as the end-to-end technical owner for business banking initiatives Must have strong knowledge on the business banking data Lead solution design(real-time and batch integrations) across different application and platforms(on-prem, cloud) Define and enforce architectural patterns and best practices to ensure technical excellence Prior experience leading large, cross-functional delivery teams
Role: GenAI developer Location: Toronto Office Hybrid: 2 days in office a week Primary Skills: (GenAI developer) Python, LLMs, PyTorch 5+ years of professional experience in software development. Strong proficiency in Python (FastAPI, Flask, asyncio, pandas, etc.). Hands-on experience with AWS services related to AI/ML and serverless architectures. Strong understanding of LLMs, transformers, embeddings, vector databases, and GenAI concepts. Experience with Git, containerization (Docker), and orchestration (Kubernetes/EKS is a bonus). Familiarity with security, compliance, and responsible AI guidelines.
Role: Full stack Developer – React with Generative AI Experience Location: Toronto, ON Hybrid Experience: 8+ Years Job Summary We are looking for a skilled Frontend Developer with strong expertise in React.js and hands-on exposure to Generative AI applications. The ideal candidate should have experience building modern, scalable web applications and integrating AI-powered features such as chat interfaces, copilots, AI search, summarization, or LLM-based workflows into frontend applications. The candidate should possess strong UI development skills, API integration experience, and the ability to collaborate with backend, AI/ML, and product teams to deliver intelligent user experiences. Required Skills Strong experience in React.js, JavaScript (ES6+), and TypeScript Hands-on experience with Generative AI / LLM integrations Experience integrating OpenAI, Azure OpenAI, Gemini, Claude, or similar AI services Strong knowledge of HTML5, CSS3, Tailwind CSS, Material UI, or Bootstrap Experience with REST APIs and GraphQL Knowledge of state management libraries like Redux, Context API, Zustand, or Recoil Experience building responsive and reusable UI components Familiarity with prompt engineering concepts and AI-powered UI workflows Understanding of authentication mechanisms (OAuth, JWT, SSO) Experience with Git, CI/CD pipelines, and Agile methodologies Responsibilities Develop and maintain scalable frontend applications using React.js Build AI-powered UI features such as chatbots, AI assistants, smart search, summarization, and recommendation systems Integrate frontend applications with LLM APIs and AI platforms Collaborate with backend and AI/ML teams to implement GenAI-driven solutions Optimize application performance, responsiveness, and accessibility Design reusable and modular UI components Participate in code reviews, testing, debugging, and deployment activities Work closely with product owners and UX teams to enhance user experience Ensure security and best practices in frontend development Preferred Qualifications Experience with Next.js or server-side rendering frameworks Exposure to vector databases, RAG architecture, LangChain, or Semantic Search Experience with WebSockets or real-time applications Knowledge of cloud platforms like AWS, Azure, or GCP Familiarity with Docker and Kubernetes Experience working in enterprise-scale applications Nice to Have Experience with AI copilots or conversational UI applications Exposure to Python or Node.js backend services Knowledge of AI observability and prompt evaluation tools Experience with Figma and UI/UX collaboration Keywords for Sourcing React.js, Frontend Developer, UI Developer, TypeScript, JavaScript, GenAI, Generative AI, OpenAI, Azure OpenAI, LLM, ChatGPT, Prompt Engineering, AI Chatbot, Next.js, Redux, Tailwind CSS, LangChain, RAG, Semantic Search, REST API, GraphQL
A technology solutions firm in Toronto is looking for a skilled Java Backend Developer to design and implement scalable RESTful APIs using Spring Boot. The successful candidate will work on microservices architecture and has experience with cloud platforms like AWS or Azure. Responsibilities include optimizing system performance, collaborating with frontend teams, and ensuring high security standards. This is an excellent opportunity to further develop your expertise in a dynamic environment. #J-18808-Ljbffr
Elevate data governance practices as a Data Governance Manager. Ensure compliance, maintain data quality, and manage application records in a proactive and supportive manner across teams.
The position focuses on overseeing change request governance, where you'll validate entries and ensure compliance with enterprise standards. Acting as a liaison among key stakeholders, you will provide guidance and support for data entry requirements, as well as generate reports to assist in monitoring data quality. Your role is pivotal to supporting compliance with internal and regulatory frameworks.
Key Responsibilities:
• Manage application records within the data governance framework
• Validate and document change requests effectively
• Liaise with application and technology stakeholders
• Generate insightful reports for data quality monitoring
• Contribute to compliance aligned with governance policies
Requirements:
• 6–8 years of data governance experience
• Proficient in ensuring data quality and compliance
• Experience working with cross-functional technology teams
• Familiarity with governance and compliance standards is preferred
• Skilled in data reporting and documentation practices
Utilize your expertise in data governance to enhance the quality and compliance of application records for improved organizational outcomes.
#J-18808-Ljbffr
Recruitment Account Manager at Tekgence Inc
Duration – Contract Role
Job Description
Must Have
Minimum of 12+ years of software development experience
10+ years of experience in design and implementing cloud-based architecture using Azure services
10+ years of strong expertise in Microsoft Azure services, including:
Function App
Event Hub
Blob
Minimum of 8+ years of experience in Java, .NET, Python
Develop and deploy scalable, secure, and efficient cloud-based applications using Azure services
Troubleshoot and resolve complex technical issues
Experience with Azure DevOps, Azure Monitor, and Azure Security Center
Knowledge of containerization using Docker and Kubernetes
Certification in Microsoft Azure, such as Azure Developer Associate or Azure Solutions Architect Expert
Skills and Knowledge
Minimum of 7+ years in C# (.NET Core), Visual Studio, Apache Web Services, XML, and Restful-API/Kafka & event-driven integration capabilities.
5+ years’ experience in the C#/.NET Stack including Core/6+ in Azure cloud.
Experience with various Design Patterns (MVC, MVVM, etc.), SOA and other Architectural concepts.
Must have development experiences in Azure Integration Services (Logic Apps, Azure Functions, Azure Event Hub, Azure Redis, Cosmos DB, Blob Storage, KeyVault), SQL, Azure Repos, CI/CD pipelines.
Proficiency in managing large sets of data, including ANSI-SQL querying structured and unstructured data sources (Snowflake, Oracle, SQL, No‑SQL).
Experience with ELK and other logging capabilities.
Experience with Snowflake data integration.
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Information Technology
Industries
IT Services and IT Consulting
Toronto, Ontario, Canada | Salary: CA$100,000.00-CA$130,000.00
#J-18808-Ljbffr
A leading financial services firm is seeking an experienced Business Systems Analyst to support data-driven initiatives. This role involves collaboration with stakeholders and requires strong analytical skills and expertise in SQL and Excel. The ideal candidate will have 5-7 years of experience, particularly in derivatives within capital markets. Responsibilities include gathering requirements, analyzing data, and supporting project delivery in a fast-paced environment. #J-18808-Ljbffr
Role Description:Experience Required: 6–8 years
The APM / TDAR Data Governance Analyst is responsible for maintaining accurate, complete, and compliant application records within the APM system of record and TDAR. This role ensures data quality, taxonomy alignment, and adherence to enterprise standards by continuously reviewing, validating, and remediating application entries.
The analyst will oversee change request governance, including validating new entries, updates, and decommissioning requests, completing all ticket documentation, and ensuring alignment with CMDB and CSDM structures. Acting as a liaison between Application Owners, Technology Owners, ServiceNow platform teams, and ETAM Governance, the role provides guidance on APM standards, data entry requirements, and compliance expectations.
Responsibilities also include generating dashboards and reports to support data quality monitoring, tracking exceptions, and supporting KPI and KRI reporting. The role further contributes to compliance activities aligned with Technology Asset Management (TAM) standards, OSFI B‑13, and internal governance policies.
#J-18808-Ljbffr
The GCP Technical Lead is responsible for leading end‑to‑end application and database migration initiatives to Google Cloud Platform. This role requires strong hands‑on expertise in designing cloud architectures, defining migration strategies, and guiding cross‑functional teams through the transition of on‑premise applications and databases to GCP.
Key Responsibilities:
Lead full lifecycle GCP migration projects for applications and databases.
Develop migration strategies including rehost, replatform, and rearchitect approaches.
Assess on‑premise systems and define target‑state architectures on GCP.
Design and implement migration workflows using tools such as:
Migrate for Compute Engine (M4CE)
Migrate for Anthos
Database Migration Service (DMS)
Application Migration
Assess dependencies, performance, and compatibility with GCP services.
Re‑architect legacy applications using GKE, Cloud Run, App Engine, or Compute Engine.
Integrate GCP services including IAM, VPC, Cloud Load Balancing, Cloud DNS, and Secret Manager.
Optimize application performance and cost post‑migration.
Database Migration
Lead database migrations (Oracle, SQL Server, MySQL, PostgreSQL) to:
BigQuery
AlloyDB
Spanner (if applicable)
Perform schema conversion, capacity planning, and tuning.
Ensure data integrity, minimal downtime, and rollback options.
Technical Leadership
Provide direction to development and migration teams throughout the project lifecycle.
Define cloud best practices, governance standards, and quality controls.
Conduct technical reviews and ensure delivery excellence.
DevOps & Automation
Implement CI/CD using Cloud Build, ArgoCD, Jenkins, GitHub, or GitLab CI.
Automate infrastructure with Terraform, Deployment Manager, or Ansible.
Ensure logging and monitoring with Cloud Logging, Cloud Monitoring, Prometheus, and Grafana.
Security & Compliance
Implement GCP security best practices including IAM, VPC Service Controls, firewall policies, encryption, and KMS.
Align solutions with organizational compliance frameworks.
Strong hands‑on experience with GCP core services (Compute, Storage, VPC, IAM, Cloud SQL, GKE, Pub/Sub).
Expertise in application and database migration to GCP.
Proficiency with Docker, Kubernetes, and microservices architectures.
Experience with Terraform or other IaC tools.
Strong networking, DNS, firewall, and authentication knowledge.
Excellent leadership, communication, and stakeholder management abilities.
Ability to drive technical decisions and mentor engineering teams.
Preferred Certifications
Google Professional Cloud Architect (PCA)
Google Professional Cloud Database Engineer
Google Professional Cloud DevOps Engineer
#J-18808-Ljbffr
