4 months ago
Madrid, SpainSenior
Responsibilities
- Design and develop core services, APIs, and infrastructure for the AI Software Factory.
- Build orchestration systems that coordinate specialized agents, manage dependencies, schedule work, and support long-running asynchronous workflows.
- Develop secure, stateful agent runtimes with lifecycle management, context handling, tool invocation, retries, recovery, and execution isolation.
- Implement sandboxing, fine-grained permissions, and security boundaries for agent interactions with code, tools, and internal systems.
- Integrate LLMs, development workflows, internal APIs, and external tools through secure interfaces and standards such as MCP and A2A.
- Enable engineers to guide, supervise, and collaborate with autonomous agents.
- Evaluate emerging technologies, experiment with architectural patterns, and help define autonomous software engineering practices.
- Apply distributed-systems, concurrency, fault-tolerance, and software-architecture expertise to complex engineering problems.
Requirements
- Strong software engineering experience, ideally with Go, building robust backend services, APIs, and distributed systems.
- Experience with Kubernetes, containers, and cloud-native infrastructure, ideally on Google Cloud Platform.
- Understanding of concurrency, failures, asynchronous execution, complex state transitions, and distributed-system design.
- Commitment to clean architecture, well-designed APIs, maintainable code, and automated testing.
- Understanding of authentication, authorization, isolation, security boundaries, and execution of untrusted workloads.
- Curiosity about LLMs and autonomous agents, including tool calling, context management, multi-agent collaboration, and agent orchestration.
- Willingness to explore emerging technologies, navigate ambiguity, take ownership of difficult technical problems, and contribute to architecture decisions.
- Experience with Google ADK, MCP, A2A, gVisor, WebAssembly, event-driven architectures, workflow engines, distributed schedulers, AI coding agents, OAuth, RDF, or SPARQL is a bonus rather than a requirement.
Benefits
- Customised benefits package based on location.
- Choice of preferred tech equipment.
- Remote work with occasional in-person gatherings.
- Five additional paid days off annually and work-anniversary recognition.
- Health and wellness support, including designated wellness packs and access to Headspace.
- Quarterly development talks, weekly work-time training and development, Udemy courses, career paths, and internal mentorship.
- Customised onboarding plan.
- Opportunity to work from another Signicat office for two months per year and from any EU country for three weeks per year.
- Employee engagement and feedback tools.
- Frequent office gatherings and a biennial Kick-off event.
Tech Stack
Categories
About Signicat
Signicat builds a pan-European digital identity platform used by banks, fintechs, telcos, public authorities and healthcare providers to verify people and businesses, authenticate users, and enable compliant electronic signing. It sells APIs and cloud services for eIDs, KYC/AML, IDV, and fraud prevention. Founded in 2006 and headquartered in Trondheim, Norway, the company is privately held and backed by Nordic Capital.