Hybrid Backend Engineer

at Dcycle

• Job title: Backend Engineer
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Docker, DynamoDB, EC2, GRPC, Kafka, Postgres, Python, Ray
• Location requirements: Hybrid, Madrid, Spain

About the role

• Backend Engineer designing scalable backend services for Dcycle. Focused on Python, microservices, and collaborating across teams in a hybrid work environment.

Responsibilities

• Design and implement scalable, secure, and maintainable backend services with high-quality code.
• Build robust solutions using Python (2-4 years of experience), with a strong focus on best practices and clean architecture.
• Develop microservice solutions using RESTful APIs and event-driven systems (e.g., gRPC, Kafka, SQS), ensuring alignment with product requirements and technical excellence.
• Contribute to CI/CD pipelines (GitHub Actions, AWS CodePipeline) to guarantee reliable deployments and efficient development workflows.
• Work with AWS cloud-native infrastructure, leveraging services like EC2, ECS, Lambda, RDS, DynamoDB to deliver scalable products.
• Apply infrastructure-as-code principles using CloudFormation and CDK to maintain consistency and security across environments.
• Implement system design patterns, including domain-driven design, CQRS, and event sourcing, where they create clear value.
• Collaborate cross-functionally with DevOps, Data, Design, and frontend teams to deliver high-impact features and improvements.
• Use AI and Claude as daily work tools: for debugging, documentation, preparing new features, understanding legacy code, exploring solutions, etc.
• Drive technical excellence, performance, and reliability in everything you build, contributing to a culture of continuous improvement.
• Support and learn from team members while taking full ownership of your deliverables.

Requirements

• 2-4 years of backend experience
• Python (intermediate-advanced level)
• REST/gRPC APIs & messaging queues
• Testing frameworks (pytest, unittest) with TDD/BDD methodologies
• CI/CD with GitHub Actions, CodePipeline, containerization via Docker
• AWS Cloud Architecture: EC2, ECS, Lambda, API Gateway, Route 53, ELB
• Databases: PostgreSQL, RDS, DynamoDB, Aurora
• Event-driven design using SQS, SNS, Step Functions, EventBridge
• Infrastructure as Code: CDK, CloudFormation
• Security: IAM, KMS, encryption, least privilege, secret management
• Monitoring & Compliance: CloudWatch, X-Ray, AWS Config, ISO 27001 understanding

Benefits

• 23 vacation days
• 7 days of team-building per year
• Cobee card for added flexibility
• Subsidized training for continuous development