Golang Backend Engineer – Hybrid, Cloud-Native & Scalable

Noesis Portugal

Porto

Hybrid

EUR 42,000 - 65,000

Full time

14 days+
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Job summary

Noesis Portugal is seeking a skilled backend developer to design, implement, and maintain Go-based services in a cloud-first AWS environment. The role emphasizes code quality, security, scalability, and collaboration within the squad.

You'll work with Docker, CI/CD, databases such as PostgreSQL and DynamoDB, and messaging systems like Kafka or SQS, contributing to architecture decisions and documentation while growing technical skills.

Qualifications

  • Degree in Computer Science, Software Engineering, or a related field.
  • Experience or strong interest in backend development with Golang.
  • Knowledge of AWS, Docker, Git, and CI/CD.
  • Experience with relational and NoSQL databases, particularly PostgreSQL, Redis/Valkey, or DynamoDB.
  • Familiarity with messaging systems and event-driven architectures like Kafka or SQS.
  • Knowledge of unit and integration testing and software architecture principles.

Responsibilities

  • Develop and maintain backend services using Golang within a cloud-first AWS environment.
  • Implement solutions from development through production, including tests and CI/CD pipelines.
  • Participate in code reviews and collaborate to ensure code quality, security, scalability, and maintainability.
  • Contribute to technical documentation and ongoing improvement of systems and practices.

Skills

Golang backend development
AWS
Docker
Git
CI/CD
PostgreSQL
Redis/NoSQL databases
Kafka or SQS

Education

Degree in Computer Science or related field

Tools

PostgreSQL
DynamoDB
Kafka
SQS
Docker
Git
CI/CD tooling

Job description

Noesis Portugal is seeking a skilled backend developer to design, implement, and maintain Go-based services in a cloud-first AWS environment. The role emphasizes code quality, security, scalability, and collaboration within the squad.

You'll work with Docker, CI/CD, databases such as PostgreSQL and DynamoDB, and messaging systems like Kafka or SQS, contributing to architecture decisions and documentation while growing technical skills.

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