Teams at Technosylva

Lead the technical strategy for quality engineering, automation, AI-driven testing, and quality metrics. Design scalable test solutions, resolve complex automation challenges, build reporting dashboards, identify quality risks, collaborate across engineering and product teams, and mentor QA professionals. The role requires advanced end-to-end and API automation expertise, strong Agile and CI/CD knowledge, and experience applying AI to testing workflows.

Build and operate production AI platform services, including gateways, model routing, plugin and MCP review pipelines, observability, evaluations, cost attribution, agent identity, secrets, and security controls. Develop developer tooling and enablement resources, collaborate with Security teams, manage incidents, and participate in on-call support. The role requires strong software, platform, DevOps, or SRE experience with LLM APIs, cloud infrastructure, CI/CD, Kubernetes, Terraform, and observability systems.

Own the architecture and technical direction of the company’s AI platform, including model gateways, routing, agent orchestration, MCP, identity and governance, evaluation, observability, security, and FinOps. Build and operate production services, establish engineering standards and golden paths, partner with Security and Legal, mentor engineers, influence cross-functional decisions, and participate in on-call and incident response.