Back End Developer

European Tech Recruit

Murcia, Spain

1 day ago

Apply on www.buscojobs.com.es

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience required

2 years minimum

Working hours

Shift work

Job source

www.buscojobs.com.es

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Airflow Amazon Web Services Continuous Integration Relational Databases Github PostgreSQL MySQL Performance Tuning Queueing Systems RabbitMQ

+19 more

Prometheus Software Engineering Systems Integration Management of Software Versions Workflow Management Systems Datadog Large Language Models Grafana Backend Gitlab Git Kubernetes Deployment Automation HuggingFace Apache Kafka Machine Learning Operations Nim (Programming Language) Restful APIs Microservices

Job description

Senior Recruitment Consultant

Software Engineering, Embedded Computing, AI/ML, Semiconductor & SalesJoin a European deep?tech leader in quantum and AI.A well?funded, fast?growing company backed by major global investors with its groundbreaking technology is already transforming AI, compressing large language models by up to 95% and cutting inference costs by **%.This is your chance to be part of a team often described as a”quantum?AI unicorn in the making.”This is a Hybrid opportunity working out of Zaragoza.Required Qualifications2-5 years of experience developing and maintaining backend systems inPythonorGo.Strong understanding of RESTful API or gRPC design, versioning, and performance optimization.Experience withDockerand basic familiarity withKubernetesfor deploying scalable services.Solid understanding of relational databases (PostgreSQL/MySQL) and schema design.Experience integrating or automating workflows across multiple systems (data, CI/CD, ML).Proficiency with Git, testing frameworks, and CI/CD pipelines (GitLab, GitHub Actions).Experience with AWS or cloud?based deployment environments.A product?oriented mindset - able to turn R&D scripts or prototypes into stable, usable APIs or microservices.Preferred QualificationsExperience with ML workflow orchestration (Flyte, Airflow, MLflow, or Kubeflow).Exposure to LLM inference/deployment tools (vLLM, Hugging Face Hub, NVIDIA NIM, or Triton).Experience building or integrating benchmarking, evaluation, or data automation pipelines.Familiarity with message queues or event?driven architectures (Kafka, NATS, RabbitMQ).Understanding of observability tooling (Prometheus, Grafana, OpenTelemetry).Compensation:Competitive salary, with a signing bonus and a retention bonus at the end of the contract.Flexibility:This is a hybrid role with flexible working hours.A relocation package is available if needed.Culture:We are a fast?scaling company committed to equal pay, diversity, and an inclusive culture.You’ll gain international exposure in a multicultural, cutting?edge environment.Interested?Apply directly through LinkedIn, or send your CV toBy applying to this role you understand that we may collect your personal data and store and process it on our systems.For more information please see our Privacy Notice#J-**-Ljbffr

Requirements

2-5 years of experience developing and maintaining backend systems inPythonorGo. Strong understanding of RESTful API or gRPC design, versioning, and performance optimization. Experience withDockerand basic familiarity withKubernetesfor deploying scalable services. Solid understanding of relational databases (PostgreSQL/MySQL) and schema design. Experience integrating or automating workflows across multiple systems (data, CI/CD, ML). Proficiency with Git, testing frameworks, and CI/CD pipelines (GitLab, GitHub Actions). Experience with AWS or cloud?based deployment environments. A product?oriented mindset - able to turn R&D scripts or prototypes into stable, usable APIs or microservices. Preferred Qualifications Experience with ML workflow orchestration (Flyte, Airflow, MLflow, or Kubeflow). Exposure to LLM inference/deployment tools (vLLM, Hugging Face Hub, NVIDIA NIM, or Triton). Experience building or integrating benchmarking, evaluation, or data automation pipelines. Familiarity with message queues or event?driven architectures (Kafka, NATS, RabbitMQ). Understanding of observability tooling (Prometheus, Grafana, OpenTelemetry).

Benefits & conditions

Compensation:Competitive salary, with a signing bonus and a retention bonus at the end of the contract. Flexibility:This is a hybrid role with flexible working hours. A relocation package is available if needed. Culture:We are a fast?scaling company committed to equal pay, diversity, and an inclusive culture. You’ll gain international exposure in a multicultural, cutting?edge environment. Interested?