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Lead customer-facing design and delivery of production-grade AI and agentic analytics on GoodData Cloud. Own discovery, prototyping, integration, and production handoff using semantic models, LLMs, embeddings, vector search, REST APIs, and local inference. Advise on architecture, governance, TCO, and multi-tenant secure designs while coordinating across product, consulting, sales, and support.

Develop and maintain Kotlin/Spring microservices, support automation with Python, use docker-compose for development and Kubernetes in production, design scalable data systems, write clean/testable code, and help shape technical direction and best practices.

Design and implement backend microservices for an AI-native analytics platform, focusing on scalable distributed data processing, orchestration, and integration. Write high-quality, test-driven code in Python/Kotlin/Rust, deploy on Kubernetes, influence API design and best practices, and take end-to-end ownership while collaborating with product, architecture, and QA.

Operate and improve hybrid cloud and on‑prem infrastructure: design deployment tooling, manage VMs/Kubernetes/bare metal, ensure availability/SLA, automate with IaC and AI agents, participate in on‑call rotation, and collaborate on security, monitoring, and platform improvements.

Drive full-cycle enterprise SaaS sales: source and close new business, run complex multi-stakeholder deals, own account growth (renewals, upsells, cross-sell), forecast accurately, and build regional presence via events and meetings.

Support integration, installation, and operation of a cloud-native platform on AWS/Azure and Kubernetes. Improve Helm charts, Terraform providers, GitOps, observability dashboards and docs. Collaborate on SaaS infrastructure, optimize Kubernetes operations using CNCF projects, Flux, and GitHub Actions, and leverage Grafana/Loki/Mimir/Tempo and AI tools to automate and troubleshoot deployments.

Design, build, and productionize multi-layered agentic AI systems (routers, tool-calling agents, RAG pipelines, evaluation, AI monitoring). Implement Python microservices on Kubernetes, optimize for scalability, performance, and security, and collaborate with cross-functional teams to transition AI solutions into production.

Join the Professional Services team to build AI-driven data applications, collaborating on customer solutions using GoodData's platform and technologies, while participating in agile processes and knowledge sharing.