Senior Java Developer
P
PragmatikeSoftware Engineering
Remote (Portugal)Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Fluent English
- Experience
- 7+ years
- Required Skills
- DockerJavaKubernetesMongoDBMySQLSpring BootRESTful APIsTerraformMicroservices
Requirements
- 7+ years of professional experience developing backend applications with Java
- Strong expertise with Java 17/21 and frameworks such as Spring Boot, Spring Cloud, or Micronaut
- Experience designing and building microservices, distributed systems, and RESTful APIs
- Solid understanding of software architecture, design patterns, and scalable backend design
- Hands-on experience with cloud platforms and modern infrastructure, including Docker, Kubernetes, Terraform, and CI/CD pipelines
- Experience with observability and monitoring tools such as OpenTelemetry, Dynatrace, or similar platforms
- Strong knowledge of relational and NoSQL databases, including MySQL and MongoDB
- Experience with testing practices including unit testing, integration testing, and Test-Driven Development (TDD)
- Familiarity with Agile development methodologies, DevOps practices, and collaborative engineering workflows
- Ability to effectively use AI-assisted development tools to accelerate implementation and improve engineering productivity
- Fluent English communication skills
- Must be based in Portugal
Responsibilities
- Design, develop, and maintain scalable backend applications using modern Java (17/21) and the Spring ecosystem
- Own software delivery from architecture and implementation through deployment, monitoring, and production support
- Build and evolve microservices, RESTful APIs, and distributed systems with a focus on performance and reliability
- Participate in solution design, technical decision-making, and architectural discussions across engineering teams
- Diagnose production issues, optimize system performance, and implement robust long-term solutions
- Collaborate closely with product and engineering stakeholders to challenge requirements and deliver high-quality outcomes
- Mentor developers through code reviews, technical guidance, and knowledge sharing
- Contribute to technical hiring and help strengthen engineering standards across the organization
- Leverage AI coding assistants to improve development speed, code quality, and debugging workflows
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