Jobs at Amdaris

As a Principal AI Engineer, you will work with clients to develop and implement AI solutions, leveraging generative AI models and collaborating with cross-functional teams to drive impactful results.

As a Senior Software Developer, you will design and develop both front-end and back-end applications, lead the delivery of complex feature sets, and implement APIs while ensuring code quality and system performance.

Seeking an AI & Applications Solution Architect to enhance software strategies using AI and modern app architectures while collaborating with clients and stakeholders.

Lead design and implementation of modular DDD-based architectures, define technical standards, mentor engineers, implement CI/CD and automated testing, develop critical components, optimize performance, and liaise between architects, product and business to deliver scalable, secure software.

Design and lead solution architecture aligned with business goals. Define non-functional requirements, tech stack, standards and best practices. Validate feasibility, review and optimize code, modernize legacy systems, drive CI/CD and DevSecOps, conduct PoCs, and facilitate architectural decision-making with stakeholders.

Lead technical design and implementation of modular, DDD-based architectures. Define standards and coding guidelines, mentor engineers, participate in coding and PoCs, ensure scalability, security, and CI/CD. Collaborate with architects, product and business teams, conduct code reviews, optimize performance, and promote continuous learning and technical excellence.

Design and lead solution architecture aligning with product goals. Define tech stacks, non-functional requirements, and standards. Validate feasibility, review and modernize codebases, support DevSecOps/CI-CD, run technical evaluations and PoCs, and guide engineering teams on scalability, security, and maintainability.

The Data & Information Architect defines the data architecture, ensures governance, and enables analytics use cases through effective collaboration across teams.

Senior client-facing consultant who leads front-end AI advisory engagements: shaping use cases, value narratives, pre-sales, executive briefings, and translation of business priorities to AI engineering teams.

The Mendix Developer will design, develop, and deploy Mendix applications, leading development and ensuring best practices in a greenfield project. They will mentor junior developers and collaborate with teams to deliver high-impact solutions.

Join the foundational Mendix team to develop enterprise-grade applications, set technical standards, mentor junior developers, and collaborate in agile squads.

The Senior Workforce Manager oversees the effective management and allocation of resources across multiple projects within EMEA, ensuring optimal delivery of professional services and consultancy offerings while monitoring resource utilization and forecasting future demands.

Develop and maintain .NET-based backend services and RESTful APIs, collaborate with frontend teams, participate in architecture and refactoring, ensure code quality through testing and reviews, troubleshoot production issues, and support CI/CD and deployments.

The Platform Architect will define and govern platform architecture, establish principles, ensure composability, and facilitate decision-making across teams while collaborating closely with product and engineering stakeholders.

The Data Engineer designs, implements, and monitors security controls for cloud and on-premises infrastructure, ensuring resilience against cyber threats and compliance with regulations while collaborating with teams.

Lead design and delivery of Azure-based modern data platforms (lakehouse, warehouse, streaming). Translate business needs into scalable data architectures, build and optimize data pipelines, integrate heterogeneous sources, enable BI/AI use cases, support presales/PoCs, ensure security and governance, and mentor junior consultants.

Design, implement, and optimize Azure-based modern data platforms (lakehouse, warehouse, streaming). Build and maintain high-performance data pipelines, enable data quality, security, and governance, support analytics/AI integrations, run workshops/PoCs and presales, and mentor junior consultants.