Jobs at Zartis

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.

Lead end-to-end product design for CRM, member and staff workflows; create scalable patterns, dashboards and prototypes; validate with user research and data; contribute to the design system; collaborate with engineers and PMs; and explore AI to improve product and design workflows.

Design, build, and maintain scalable cloud-native backend services (C#, .NET Core) and frontend components (TypeScript/Angular) for a SaaS product. Integrate payment APIs, implement multi-tenant patterns, support CI/CD and observability, follow spec-first TDD, and collaborate with architecture teams to move greenfield projects into production.

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.

Join a distributed team building a fitness-industry platform. Collaborate with designers, product and QA to design and deliver scalable services. Mentor peers, write clear Go code, improve performance and scalability, and apply Agile, DevOps and CI/CD practices to deliver high-quality software.

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.

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.

Design, build, and run backend microservices (Java/Kotlin + Spring Boot) and Vue-based frontend components. Implement event-driven integrations (Kafka), apply DDD and hexagonal architecture, ensure resilience and observability, own quality across SDLC (unit/integration/E2E), and work in XP/Agile teams with full-stack ownership and CI/CD practices.

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.