Jobs at Tecsys

Provide first- and second-level technical support for Tecsys software, resolving product incidents within SLAs. Analyze issues and trends, manage tickets in ServiceNow, communicate proactively with healthcare customers, escalate when needed, and support all product modules. The role requires WMS and technical support experience, strong communication, shift flexibility, and occasional off-hours meetings. Familiarity with supply chain, ERP finance, UNIX/Linux, Windows, SQL, and AWS Aurora PostgreSQL is advantageous.

Build and maintain full-stack features for a distributed warehouse management platform across legacy and modern systems. Develop front-end, back-end, database, web, and mobile functionality; troubleshoot complex issues; optimize SQL workflows; modernize components; and participate in code reviews and technical design. Collaborate with product, architecture, QA, and support teams while using AI-assisted development tools responsibly.

Own strategy and delivery for data and customer-facing AI platforms. Define roadmaps, manage ingestion/streaming/integration/analytics capabilities, ensure data quality/governance/observability, partner with engineering, deliver AI-driven experiences, manage backlogs in Agile, measure adoption, and support go-to-market planning.

Designs and executes performance, load, stress, scalability, and endurance tests for a cloud-based enterprise supply chain platform. Investigates root causes across applications, Kubernetes, AWS, JVM, logs, and PostgreSQL; builds workload models, test environments, datasets, and automated tests using JMeter, Playwright, and Python. Analyzes metrics, queries, execution plans, locks, indexing, and APM data, collaborating with developers to resolve issues and validate improvements.

Concevoir, développer et déployer des services backend Java évolutifs et sécurisés avec Spring Boot et des microservices. Diriger les pratiques techniques par les revues de code, les discussions d’architecture, le mentorat et la collaboration avec l’assurance qualité, DevOps et les équipes produit. Transformer les besoins d’affaires en solutions distribuées performantes, intégrer l’IA au développement, évaluer les technologies émergentes et promouvoir l’observabilité, la sécurité et l’amélioration continue.

Design, develop, and deploy scalable Java backend services using Spring Boot and microservices. Lead code reviews, design discussions, testing, mentoring, and technical direction. Translate business needs into secure, performant solutions; integrate AI tools and approaches; evaluate emerging technologies; and promote observability, scalability, security, and production readiness. Collaborate with product, business, QA, DevOps, and operations teams in an agile environment.

Provides technical support for Tecsys Elite customers by managing ServiceNow cases, troubleshooting applications and integrations, analyzing logs and stack traces, writing SQL queries, and reading Java-based code. Communicates with customers, provides workarounds, documents solutions, meets SLA commitments, and coordinates escalations with infrastructure, cloud operations, business intelligence, and custom development teams.

Provides technical support for Tecsys Elite software by managing ServiceNow tickets, diagnosing application and integration issues, analyzing logs, SQL queries, Java code, and stack traces, and communicating with customers through resolution. The role develops workarounds, escalates infrastructure and customization issues to internal teams, documents solutions, and meets SLA commitments. Evening or weekend shift availability is required.

Responds to and resolves SaaS platform incidents, investigates root causes, performs operational reliability checks, and improves automation to reduce manual work and technical debt. Maintains backups, monitoring, infrastructure, and onboarding/offboarding processes while contributing to reliability projects. Develops tooling across AWS and Azure and participates in incident management, on-call rotations, escalations, and postmortems.

Le spécialiste d’application dirige la collecte de données, la définition des processus d’affaires, la configuration, le chargement de données, les tests et la formation lors d’implantations du logiciel Tecsys. Il collabore avec les équipes de projet et les clients, principalement dans les environnements hospitaliers de gestion des stocks et d’approvisionnement. Le poste exige de solides capacités de conseil, de résolution de problèmes, de communication et de dépannage, ainsi que des déplacements fréquents en Amérique du Nord.

Supports software implementation projects for healthcare supply chain clients by collecting data, configuring Tecsys solutions, identifying business requirements, defining processes, and guiding customers through system integration. Collaborates with project teams and develops expertise in application consulting, supply chain management, client relationships, and implementation delivery. The role involves frequent travel across North America and requires strong English and French communication skills.

Designs and executes load, stress, scalability, endurance, and performance tests for cloud-based enterprise applications. Investigates root causes across Kubernetes, AWS, JVM, application logs, and PostgreSQL; analyzes metrics, slow queries, execution plans, resource limits, autoscaling, and indexing. Maintains JMeter and Playwright tests, uses Datadog for monitoring, configures test environments and large datasets, automates with Python, and collaborates with developers to validate fixes.

The Associate Application Specialist will support the implementation of supply chain software solutions, collaborating with customers and the project team to meet their needs.

Analyzes financial and operational performance, develops financial models and forecasts, improves finance processes, supports budgeting and investment decisions, prepares management reports, and helps implement financial controls. The role also manages IT cost strategies, cloud billing practices, and financial operations for the Product and Technology department.

Analyze financial and operational performance, develop financial models and forecasts, improve cost and financial processes, ensure accurate transaction recording, prepare executive reports, support business and investment decisions, and help implement financial policies and controls. The role focuses on optimizing IT and cloud-related costs across the product and technology department.

Builds and automates client infrastructure deployments and scalable CI/CD solutions. Develops deployment logic, automated tests, incident-response playbooks, and infrastructure-as-code solutions. Manages AWS, Azure, hybrid architectures, Kubernetes, and container environments; monitors platform stability, resolves incidents, participates in on-call support, and collaborates with development teams on deployment automation and infrastructure scalability. The role also includes maintenance planning and continuous improvement initiatives.

Conçoit, développe et maintient des applications Java backend performantes au sein d’une équipe Agile. Prend en charge les problèmes techniques de bout en bout, contribue à l’architecture, réalise des revues de code, encadre les développeurs moins expérimentés et gère la dette technique. Collabore avec les équipes produit et qualité pour transformer les exigences en solutions fiables, tout en utilisant des outils de développement assistés par l’IA.

Designs, develops, tests, deploys, and supports high-performance Java backend applications within an Agile team. Responsibilities include shaping architecture, solving complex technical problems, conducting code reviews, mentoring developers, managing technical debt, collaborating with product and QA teams, and using AI-assisted development tools while maintaining ownership of quality, security, and correctness.

Build and automate client infrastructure deployments and scalable CI/CD solutions across development, testing, and production environments. Manage AWS and Azure infrastructure, hybrid architectures, Kubernetes, containers, and infrastructure-as-code. Develop deployment logic, automated tests, and incident-response playbooks; monitor stability, troubleshoot incidents, participate in on-call support, and collaborate with development teams on scalability and continuous improvement.

Join TecsysIQ Data & AI to build and operate a cloud data platform on Databricks and AWS. You will provision infrastructure with Terraform, manage Kubernetes/Helm and Docker, implement CI/CD, develop Databricks and Spark (batch and streaming/CDC) pipelines across Bronze/Silver/Gold layers, optimize clusters and SQL warehouses, and collaborate in Agile teams to deliver reliable, scalable data products.