Teams at Virtasant

Build and support backend-heavy software across Python and Java, with a primary focus on agentic AI. Develop MCP servers, LLM agents, tool-calling and multi-agent systems; evaluate agent behavior and production observability. Contribute to architecture, testing, code reviews, technical-debt reduction, and scalable microservices. Collaborate with Product Management and QA while working independently. Familiarity with cloud infrastructure, especially GCP, is valuable; React and TypeScript experience is preferred.

Build, operate, and evolve large-scale Kubernetes and cloud infrastructure. Responsibilities include platform reliability, production troubleshooting, automation, infrastructure as code, CI/CD, observability, incident response, disaster recovery, migrations, and technical leadership. The role requires autonomous ownership of complex infrastructure initiatives, production coding in Go, Python, or Java, and direct collaboration with technical stakeholders.

Lead customer-facing cloud and AI optimization deployments from discovery through production. Partner with executive sponsors and engineering teams to assess architecture, design deployment roadmaps, solve infrastructure and AI optimization problems, navigate change and compliance processes, and deliver measurable outcomes. The role requires deep public-cloud, production engineering, enterprise architecture, AI infrastructure, and external consulting experience, plus ownership of executive communication, adoption metrics, playbooks, and expansion opportunities.