Top Tech Jobs & Startup Jobs

Conçoit, exploite et fait évoluer des plateformes CI/CD et leurs runners cloud ou auto-hébergés. Intègre l’intelligence artificielle et l’automatisation aux pipelines, établit des standards de gouvernance et de sécurité AI, et accompagne les équipes de développement dans l’adoption des pratiques DevOps, DevSecOps et CI/CD. Optimise la performance, la sécurité et les coûts des environnements Azure.

Develop and maintain AWS cloud environments using Infrastructure as Code, Configuration as Code, and continuous deployment practices. Automate deployment and configuration scripts with Terraform and Ansible, manage GitHub Actions CI/CD pipelines, support application deployment and testing, and integrate development environments. The role also involves technology monitoring, feasibility studies, cloud security principles, and collaboration with multidisciplinary teams.

Lead change management for large-scale digital transformation projects by analyzing impacts, developing transition and communication strategies, creating engagement and training plans, preparing governance materials, tracking progress, documenting risks, and producing stakeholder communications. The role requires strong bilingual French-English communication, at least five years of change management experience, and the ability to explain complex concepts clearly.

Pilote l’adoption et la mise à l’échelle de l’intelligence artificielle dans les équipes d’affaires et TI. Conçoit des stratégies de gestion du changement, des programmes de formation, des communautés de pratique et des ressources d’utilisation de l’IA. Mesure l’adoption, la création de valeur et le retour sur investissement, élimine les obstacles et traduit les politiques de gouvernance en pratiques opérationnelles. Collabore avec les équipes techniques pour aligner l’adoption sur la livraison de solutions IA.

Designs and leads enterprise AI and generative AI solutions from use-case definition through production. Responsibilities include cloud-native architecture using AWS Bedrock and SageMaker, defining AI standards, selecting platforms and models, partnering with executives, ensuring governance and compliance, and mentoring delivery teams. The role also incorporates responsible AI, risk management, monitoring, lifecycle practices, LLM platforms, RAG, agent systems, and MLOps.

Designs, develops, and maintains high-performance Java platforms supporting lending businesses. Builds Spring Boot microservices, REST APIs, and data access layers; applies automated testing, code reviews, security, and SDLC best practices. Collaborates with global teams in Agile delivery, drives technical initiatives, and provides technical guidance.

Develops and executes integrated B2B marketing initiatives supporting business growth, sales enablement, offer positioning, content marketing, thought leadership, events, client engagement, and corporate communications. Partners with business leaders, sales teams, subject matter experts, and stakeholders to create compelling marketing materials, launch service offerings, strengthen brand consistency, and support business development and pipeline generation.

Develop and optimize Python backend services for financial forecasting automation. Build and evolve distributed architectures and data pipelines using DataIQ, Databricks, and Snowflake. Automate recurring processing with Python and SQL, collaborate with engineering, data, and infrastructure teams, and contribute to architecture decisions, testing, CI/CD, monitoring, security, and performance improvements. Integrate legacy platforms such as Teradata while modernizing deliverables toward Snowflake.

Develop and deploy production-grade AI and generative AI solutions, including NLP, LLM, predictive-model, and intelligent-agent applications. Build AI services with AWS Bedrock and SageMaker, design APIs and microservices, and establish practices for model lifecycle management, monitoring, security, privacy, responsible AI, and cost optimization. Provide technical leadership through code reviews and mentoring while applying AI-assisted development tools.

Develop and optimize Python backend services that automate financial forecasting and recurring processing. Build and evolve data pipelines and distributed architectures using SQL, DataIQ, Databricks, and Snowflake. Collaborate with engineering, data, and infrastructure teams on integrations, architecture, testing, CI/CD, monitoring, performance, reliability, and security. Work with Teradata and legacy platforms while delivering solutions in a regulated financial environment.