Backend Software Engineer

RemoteStar • Spain
Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Backend Software Engineer responsible for developing and maintaining backend systems in Python or Go. The role requires strong understanding of RESTful API or gRPC design, versioning, and performance optimization. Experience with Docker and basic familiarity with Kubernetes for deploying scalable services is also required.

Key Highlights
Backend Software Engineer
Python or Go
RESTful API or gRPC design
Key Responsibilities
Developing and maintaining backend systems in Python or Go
Strong understanding of RESTful API or gRPC design, versioning, and performance optimization
Experience with Docker and basic familiarity with Kubernetes for deploying scalable services
Technical Skills Required
Python Go RESTful API gRPC Docker Kubernetes PostgreSQL MySQL Git GitLab GitHub Actions AWS cloud-based deployment environments
Benefits & Perks
Signing bonus
Retention bonus
Relocation package
Fixed-term contract
Hybrid role and flexible working hours
Equal pay guaranteed
International exposure in a multicultural, cutting-edge environment
Nice to Have
ML workflow orchestration
LLM inference/deployment tools
Benchmarking, evaluation, or data automation pipelines
Message queues or event-driven architectures
Observability tooling

Job Description


About client :

Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international.


Required Qualifications


  • 2–5 years of experience developing and maintaining backend systems in Python or Go.
  • Strong understanding of RESTful API or gRPC design, versioning, and performance optimization.
  • Experience with Docker and basic familiarity with Kubernetes for 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).
  • Demonstrated ability to collaborate with product and design teams to define backend contracts that enable intuitive user experiences.

We offer


  • Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.
  • Relocation package (if applicable).
  • Fixed-term contract ending in June 2026.
  • Hybrid role and flexible working hours.
  • Be part of a fast-scaling Series B company at the forefront of deep tech.
  • Equal pay guaranteed.
  • International exposure in a multicultural, cutting-edge environment.

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