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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Plenit (formerly Jotelulu) - **Location:** Madrid, Spain (Remote available) - **Salary:** €50,000.0 - €80,000.0 - **Contract:** Permanent contract - **Skills:** Proxmox, Clean Code Principles, PHP (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Proxy Servers, Software Applications, Microsoft Azure, Cloud Computing, Software Quality, Code Review, Databases, Relational Databases, Database Design, Software Debugging, Dependency Injection, Distributed Systems, Domain Name System (DNS), Elasticsearch, Protocol Buffers, Monitoring of Systems, Hypertext Transfer Protocols (HTTP), Kernel-Based Virtual Machine, PostgreSQL, Enterprise Messaging Systems, MySQL, Networking Basics, OpenStack, Software Architecture, Queueing Systems, RabbitMQ, Redis, Cloud Services, Prometheus, Service-Oriented Architecture, Software Construction, Software Engineering, Symfony, Systems Integration, TCP/IP, Virtualization Technology, Private Cloud Environment, Google Cloud, Load Balancing, Grafana, Concurrency, Caching, Indexer, Backend, Event Driven Architecture, Containerization, Kubernetes, Storage Technologies, Code Testing, Integration Frameworks, Api Design, Restful APIs, Grpc, Software Version Control, Docker, Golang, Vmware, Microservices - **Published:** September 15, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role + 3+ years of professional software engineering experience. + Strong professional experience developing production systems with Go (Golang). + Strong understanding of Go fundamentals, including concurrency, goroutines, channels, interfaces, error handling, context management, and memory considerations. + Experience designing and building backend services in distributed or service-oriented architectures. + Strong understanding of and practical experience applying Hexagonal Architecture (Ports and Adapters), including clear separation between domain, application, and infrastructure layers, dependency inversion, and dependency injection. + Strong experience building and consuming REST APIs and working with API-first systems. + Experience with relational databases such as PostgreSQL, MySQL, or similar technologies. + Good understanding of database design, indexing, transactions, consistency, and performance. + Experience working with asynchronous processing, event-driven architectures, message queues, or distributed workflows. + Strong understanding of software engineering fundamentals including testing, clean code, maintainability, version control, and code review. + Experience working with containerized applications using Docker. + Familiarity with CI/CD pipelines and automated software delivery. + Comfortable using AI-assisted development tools as part of daily engineering work, while critically validating generated output and maintaining responsibility for security, privacy, testing, and code quality. + Experience debugging production systems and performing root-cause analysis. + Comfortable working with logs, metrics, traces, dashboards, and monitoring systems. + Understanding of common distributed-system challenges such as partial failures, retries, idempotency, race conditions, timeouts, and eventual consistency. + Experience working collaboratively with Engineering, Infrastructure, Product, or Platform teams. + Ability to communicate technical decisions clearly and challenge solutions constructively. Nice to have + Previous experience building software for cloud providers, infrastructure platforms, hosting companies, developer platforms, or similar technical environments. + Strong knowledge of cloud infrastructure concepts including compute, networking, storage, virtualization, provisioning, or orchestration. + Experience with Kubernetes and container orchestration. + Experience with gRPC and Protocol Buffers. + Experience with RabbitMQ, Redis Streams, or similar messaging technologies. + Experience building high-throughput or highly concurrent systems in Go. + Experience working with microservices at meaningful production scale. + Experience with observability stacks such as Prometheus, Grafana, VictoriaMetrics, VictoriaLogs, Elasticsearch, OpenTelemetry, or similar technologies. + Experience with Redis or other caching technologies. + Experience with public or private cloud technologies such as AWS, Azure, GCP, OpenStack, VMware, Proxmox, KVM, or similar platforms. + Knowledge of networking fundamentals including HTTP, DNS, TCP/IP, proxies, load balancing, and service communication. + Experience modernizing or decomposing legacy applications into independently deployable services. + Previous professional experience with PHP and Symfony is valuable, particularly for engineers comfortable working across an evolving codebase. + Experience contributing to architectural decisions or mentoring other engineers. ## Description Plenit is growing both in product surface and technical complexity. Our platform connects infrastructure, automation, partner workflows, provisioning, billing, APIs, and customer-facing services across multiple countries and thousands of workloads. As we scale, we need engineers who can build reliable backend systems that remain simple to operate, easy to evolve, and resilient under increasing load. You will join a multidisciplinary engineering team responsible for designing, building, and maintaining the services that power Plenit's platform. Go is becoming an increasingly important part of our backend architecture, particularly for services where performance, concurrency, scalability, and operational simplicity matter. This is not a role where you will only implement tickets. You will be expected to understand the problem behind the feature, participate in technical decisions, challenge assumptions, design solutions, and take responsibility for what you put into production. You will work closely with Software Engineering, Infrastructure, Product, UX, and other technical teams to solve problems that often sit between application software and real cloud infrastructure. You should be comfortable reasoning about APIs, distributed systems, asynchronous workflows, databases, observability, failures, and production behaviour. And most importantly, you should care about building software that keeps working when the easy assumptions stop being true. Expected outcomes and impact + Design, develop, and maintain backend services and APIs primarily using Go. + Build reliable software that supports Plenit's cloud services, internal platform capabilities, and partner-facing products. + Design scalable and maintainable services capable of supporting increasing volumes of users, workloads, devices, and infrastructure operations. + Work on systems involving provisioning, orchestration, automation, lifecycle management, integrations, and asynchronous workflows. + Design clear and stable APIs that can be safely consumed by other Plenit services, frontend applications, partners, and third-party integrations. + Participate in architectural and technical design decisions, balancing scalability, maintainability, delivery speed, and operational complexity. + Design efficient data models and access patterns using relational databases and other storage technologies where appropriate. + Work with event-driven architectures, message queues, background processing, and distributed workflows. + Build software with production reliability in mind, including graceful failure handling, retries, idempotency, timeouts, concurrency, and observability. + Write maintainable, well-tested code and contribute to strong engineering standards around testing, code reviews, documentation, and deployment. + Investigate production incidents, identify root causes, and implement improvements that prevent recurring issues. + Improve the performance and reliability of existing services as the platform scales. + Contribute to the migration and evolution of parts of our existing platform architecture toward Go-based services where it provides clear value. + Work closely with Infrastructure teams to understand the real systems our software controls and avoid building abstractions disconnected from operational reality. + Collaborate with Product and Engineering leads to turn business and partner problems into technically sound solutions. + Participate actively in code reviews, technical discussions, engineering planning, and continuous improvement initiatives. + Help simplify our architecture wherever possible. We prefer understandable systems over unnecessary sophistication. + Own the software you build through its full lifecycle: design, development, testing, deployment, observability, maintenance, and evolution. 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