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DevOps Engineer

• Collaborate effectively with coworkers and multiple teams.
• Work with internal and vendor teams on various projects.
• Partner with the DevOps Architect to ensure solution consistency and quality.
• Automate new or update existing deployment processes.
• Recommend process improvements for continuous integration and deployment to the development team.
• Utilize industry-standard tools, including Microsoft Azure, for managing hybrid deployments across on-premises datacenters and Azure.

Senior Devops Engineer

Project Manager

• Manage end-to-end delivery of SaaS and AI consulting projects from initiation to closure.
• Coordinate with engineering and AI teams to ensure timely execution and quality delivery.
• Act as the primary point of contact for clients, ensuring clear communication and expectation management.
• Understand client requirements and translate them into project plans, timelines, and deliverables.
• Plan and allocate resources effectively across multiple projects and engagements.
• Monitor project progress, identify risks or bottlenecks, and implement mitigation strategies.
• Track project milestones, KPIs, and delivery performance metrics.
• Conduct regular client meetings, status updates, and progress reporting.
• Facilitate sprint planning, task prioritization, and delivery coordination with internal teams.
• Ensure smooth delivery of AI consulting engagements and service-based projects.
• Manage project documentation, timelines, and workflow processes.
• Collaborate with leadership to improve delivery processes and operational efficiency.
• Maintain strong client relationships and ensure high customer satisfaction.

Project Manager – SaaS, AI

Accountant

• Execute day-to-day bookkeeping and accounting for multiple clients simultaneously.
• Complete full month-end close, including bank, credit card, and balance sheet reconciliations.
• Prepare accurate financial statements (P&L, balance sheet, general ledger).
• Manage AP, AR, expense reimbursements, and accruals.
• Prepare and file GST/HST returns and support PSB rebate calculations.
• Support payroll processing.
• Maintain clean, audit-ready books in QuickBooks Online.
• Follow established SOPs and timelines; flag issues or risks proactively.
• Support year-end activities, audits, and financial reviews as required.

Senior Accountant

Support Engineer

• Manage, administer, and maintain the Temenos T24 Core Banking system, ensuring stability, performance, and security
• Monitor system performance and implement optimizations to ensure high availability and operational efficiency
• Perform COB operations, system housekeeping, and routine administrative tasks
• Ensure regular system backups and maintain effective disaster recovery procedures
• Apply patches, updates, and system upgrades in line with best practices and organizational standards
• Diagnose and resolve system issues, including performance bottlenecks, errors, and outages
• Provide technical support to users and assist with system-related training as required
• Implement and maintain security controls to protect the T24 system and sensitive banking data
• Maintain accurate system documentation, including configurations, procedures, and troubleshooting guides
• Support integration of T24 with other banking applications and third-party systems
• Ensure compliance with regulatory requirements and industry standards
• Coordinate with Temenos and third-party vendors for support, enhancements, and issue resolution
• Manage UXP, Browser Web, and Transact the latest browser configuration and installation on the application server

Senior Support Analyst – T24

• Manage, administer, and maintain the Temenos T24 Core Banking system, ensuring stability, performance, and security
• Monitor system performance and implement optimizations to ensure high availability and operational efficiency
• Perform COB operations, system housekeeping, and routine administrative tasks
• Ensure regular system backups and maintain effective disaster recovery procedures
• Apply patches, updates, and system upgrades in line with best practices and organizational standards
• Diagnose and resolve system issues, including performance bottlenecks, errors, and outages
• Provide technical support to users and assist with system-related training as required
• Implement and maintain security controls to protect the T24 system and sensitive banking data
• Maintain accurate system documentation, including configurations, procedures, and troubleshooting guides
• Support integration of T24 with other banking applications and third-party systems
• Ensure compliance with regulatory requirements and industry standards
• Coordinate with Temenos and third-party vendors for support, enhancements, and issue resolution
• Manage UXP, Browser Web, and Transact Latest Browser configuration and installation on the application server

Support Analyst – T24

Backend Engineer

• Lead the end-to-end design, development, and delivery of full-stack applications
• Own system architecture, technical decisions, and coding standards
• Mentor engineers through code reviews, design discussions, and best practices
• Collaborate closely with Product, QA, and DevOps teams to ensure high-quality delivery
• Design, develop, and maintain scalable backend services using .NET Core
• Apply strong OOP principles, software design patterns, and architectural best practices
• Implement logging and monitoring using Application Insights or similar tools
• Optimize backend performance using LINQ, SQL query optimization, and efficient database design
• Implement caching strategies to enhance application performance
• Ensure API security, authentication, and authorization standards
• Design and manage microservices-based architectures
• Develop responsive and high-performance user interfaces using React.js
• Implement reusable components and manage component lifecycle effectively
• Optimize frontend performance using Virtual DOM and best practices
• Implement React routing and application speed enhancements
• Use frontend frameworks such as Bootstrap or similar CSS frameworks
• Follow best practices for Git-based version control and branching strategies
• Collaborate with DevOps teams on CI/CD pipelines, deployments, and scalability
• Ensure application stability, performance, and maintainability across environments

Principal Fullstack Engineer – .NET, React

Machine Learning Engineer

• Design, prototype, research, and build AI systems for the Company.
• Train, evaluate, and deploy ML models in Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs), and Multimodal Large Models (MLMs).
• Improve the quality of the Company's AI Agents and RAG-as-a-service platform, including features such as agentic behavior, hallucination reduction/correction, and agent orchestration.
• Publish technical blogs, research papers, and patents.

Senior ML Engineer

• Design, prototype, research, and build AI systems for the Company.
• Train, evaluate, and deploy ML models in Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs), and Multimodal Large Models (MLMs).
• Improve the quality of the Company's RAG-as-a-service platform, including areas such as multilinguality, self-supervised learning, agentic behavior, and hallucination reduction.
• Publish technical blogs, research papers, and patents.

ML Engineer

• Critically evaluate our existing AWS infrastructure setup including RDS configurations, EC2 instances, Nginx load balancing, Docker Compose deployments, Target Groups, and Route53 DNS management
• Identify security vulnerabilities and scalability bottlenecks in the current architecture
• Design and implement infrastructure improvements with a focus on high availability, disaster recovery, and auto-scaling capabilities
• Modernize deployment strategies moving from Docker Compose to more scalable orchestration solutions where appropriate
• Conduct security audits of existing infrastructure and implement security hardening measures
• Redesign network architecture with proper VPC segmentation, security groups, and IAM policies
• Implement secrets management and encryption at rest/in transit across all services
• Establish compliance frameworks suitable for enterprise clients in manufacturing and aerospace sectors
• Architect auto-scaling solutions to handle variable workloads and traffic spikes
• Optimize database performance and implement proper backup/recovery strategies for RDS
• Design load balancing strategies that can handle global traffic distribution
• Implement caching layers and CDN strategies for improved performance
• Take full ownership of infrastructure decisions and their implementation
• Drive initiatives from conception to completion with minimal supervision
• Establish infrastructure standards and best practices across the engineering organization
• Lead incident response and post-mortem analysis for infrastructure-related issues