Jobs at Zartis

Lead QA automation within an Agile team: design test strategies, create and run manual and automated tests (API, UI, regression, functional, non-functional), integrate tests into CI/CD, manage defects, prepare test data, lead UAT, and improve QA processes and automation workflows.

The Account Manager will build and maintain client relationships, support account growth, and ensure client satisfaction while managing multiple accounts and collaborating with engineering teams.

Design and build scalable ETL/ELT data pipelines and a cloud-based data warehouse/lakehouse. Improve data quality, governance, and documentation. Work with stakeholders to enable analytics, BI, and machine learning by delivering clean, analytics-ready datasets and establishing data engineering best practices.

Zartis is seeking talented individuals for various roles in a distributed team focused on developing new technologies. Candidates should have good communication skills, be proactive, and experienced in building software from scratch.

Design, build, and operate an internal agentic platform: secure sandboxed runtimes, tool gateways, evaluation pipelines, observability, cost controls, and reusable scaffolding. Integrate across source control, CI/CD, ticketing, cloud, and telemetry systems while partnering with AI, security, and risk teams to deliver production-grade, measurable agentic workflows.

Lead and evolve the company's Risk & Compliance function: own the company-wide risk register, run annual risk assessments, manage IT security risk, lead incident response, maintain ISO 27001/Cyber Essentials and GDPR compliance across multiple EU entities, monitor emerging EU regulation (NIS2, AI frameworks), manage external relationships, and build a proactive compliance culture while directly advising the COO and C-suite.

Lead design and ownership of test automation architecture and common framework components. Provide guidance, training, and support to scrum teams, evaluate new automation technologies, assist UAT and performance teams, and participate in recruitment and PI planning.

The Commercial Director will develop Zartis's commercial strategy in Spain, focusing on AI transformation, managing leads, driving revenue growth, and building C-level relationships across various industries.

Lead modernization of CI/CD pipelines and AWS infrastructure using Terraform. Manage container workloads (ECS/Fargate, EC2), monitoring (CloudWatch, Grafana, Datadog), and Kafka streaming. Coach teams on DevOps practices, optimise costs, and support migration to microservices.

The GenAI Architect will implement AI solutions, evaluate existing systems, and collaborate on AI strategies, ensuring alignment with business objectives.

As a Principal Software Engineer, you'll develop and ship innovative AI-driven features, enhance engineering effectiveness, and lead teams in building impactful software solutions.

Design and build scalable backend services in TypeScript and NestJS, integrate AI capabilities and prompts, use Prisma and AWS for production-grade systems, contribute to architecture and technical standards, and collaborate with product and engineering stakeholders in a distributed team.

Lead evaluation and implementation of an API gateway, consolidate pipelines, define security standards and best practices, transfer API gateway knowledge across AWS/Azure/GCP, and build and operate shared platform capabilities for application teams.

Design, build, and maintain data ingestion and transformation pipelines into Microsoft Fabric using Python, SQL, and Azure/Fabric Data Factory. Implement Fabric medallion architecture, develop Power Platform solutions (Power Apps, Power Automate, Power BI), extend Dataverse, harden CI/CD with Azure DevOps, support governance, and collaborate with stakeholders to deliver and support data, automation, and reporting solutions.

Lead backend modernization from a JBoss monolith to cloud-native microservices. Build event-driven integrations with Kafka and Spring Cloud Stream, design REST APIs, deploy containerized services on Docker and AWS ECS, improve CI/CD with Jenkins and Gradle, participate in code reviews, collaborate across distributed teams, and champion AI-assisted development tools.