Senior Software Engineer — AI-Driven Cloud Microservices

Checkmarx Ltd.

Braga

Presencial

EUR 60 000 - 90 000

Tempo integral

Há 8 dias

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Resumo da oferta

Checkmarx Ltd. in Portugal Braga is seeking a Senior Software Engineer to design and operate cloud-native microservices, contribute AI-driven features, and own services end-to-end from architecture to observability.

You will work with Go and Python, Docker and Kubernetes, and collaborate across teams to deliver scalable security-focused software, with CI/CD, gRPC/REST, and modern testing practices. Join a collaborative culture that values innovation, continuous learning, and impact across

Qualificações

  • 5+ years of professional software engineering experience.
  • Strong in Go and/or Python.
  • Solid understanding of distributed systems (message queues, APIs, relational databases).
  • Experience with Docker and Kubernetes.
  • Strong testing, CI/CD, and observability fundamentals.

Responsabilidades

  • Design, build, and operate distributed microservices (message queues, gRPC/REST APIs, relational databases).
  • Contribute to AI-driven features and pipelines, integrating LLMs and agent frameworks into production systems.
  • Own services end-to-end: architecture, coding, testing, CI/CD, production observability.
  • Deploy and operate services in Kubernetes, following GitOps practices.
  • Participate in design discussions and code reviews.

Conhecimentos

Go
Python
Distributed systems
Docker
Kubernetes
CI/CD
Observability
gRPC/REST
PostgreSQL
AI/LLMs

Ferramentas

RabbitMQ

Descrição da oferta de emprego

Checkmarx Ltd. in Portugal Braga is seeking a Senior Software Engineer to design and operate cloud-native microservices, contribute AI-driven features, and own services end-to-end from architecture to observability.

You will work with Go and Python, Docker and Kubernetes, and collaborate across teams to deliver scalable security-focused software, with CI/CD, gRPC/REST, and modern testing practices. Join a collaborative culture that values innovation, continuous learning, and impact across

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