Jobs 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.

Provide hands-on IT support for employees across Europe, including helpdesk troubleshooting, hardware deployment, endpoint management, onboarding and offboarding, SaaS administration, IAM workflows, and MSP coordination. The role also supports AI tool administration and ongoing IT initiatives. This is an independent, onsite position in León, Spain, collaborating with a US-based IT team during afternoon and evening hours on a temporary fixed-term basis.

Lead product vision, discovery, roadmap development, and execution for a B2B SaaS operations product serving utility and government customers. Conduct customer research, define requirements and success metrics, guide enterprise deployments, collaborate with engineering, design, sales, and customer success, and support pricing, packaging, beta testing, and go-to-market strategies.

Owns cloud architecture standards, governance, FinOps, security, and operational resilience across AWS and Azure. Leads post-M&A cloud consolidation, integration, workload migration, and infrastructure harmonization. Provides architectural guidance to engineering teams, promotes Terraform and Ansible automation, develops disaster recovery and operational practices, documents reference patterns, mentors teams, and evaluates cloud technologies for cost, performance, security, and reliability.

Build and optimize backend services, APIs, databases, and high-performance compute models. Develop systems in C# and Java and optimized C++ simulation code using concurrency, synchronization, multiprocessing, and numerical methods. Design IPC mechanisms, profile performance-critical workloads, contribute to architecture and code reviews, mentor engineers, and support testing and CI/CD. Preferred experience includes parallel computing, scientific or geospatial modeling, cloud infrastructure, containers, observability, and high-throughput pipelines.