Senior Java Developer with DevOps skills
⚲ Krakow
Do uzgodnienia
Wymagania
- Java
- Spring
- Hibernate
- Docker
- Kubernetes
Opis stanowiska
Team: Highly open-minded, progressive, and professional team.
Technologies: Highly scalable and flexible web application based on state-of-the-art technologies like Java, JSF, JUnit, Mockito, PowerMock, JBehave, Grails, Spring, Hibernate, Sybase, Maven, GitLab, Liquibase, JMeter, Sublime, React, Cucumber.
Process: Agile process implemented, including artifacts such as product backlog refinement, sprints, product backlogs, retros, velocity, and feedback from end users. Quality is everything. UI/ UX developer and TDD/ BDD approaches with extended OOP/ clean practices on the board.
Infra: Superb infrastructure for development and communications.
Ongoing learning: Regular business training from real market operators from NY and London.
Innovation: open forum with top-down and bottom-up ideas for technical and organizational improvements. Moreover, towards Release When Ready, Release on Demand, Molecular Platform with Kafka, Flink, Elasticsearch, Docker for AI, and Azure cloud adoption.
- Design, develop, and enhance Java-based applications in line with business and functional requirements.
- Analyse existing code, troubleshoot issues, and implement performance, reliability, and maintainability improvements.
- Perform unit testing, code reviews, and support system integration and user acceptance testing activities.
- Develop and maintain CI/CD pipelines, infrastructure-as-code, and deployment automation using GitLab, Azure Pipelines, Terraform, and Unix scripting (around 30% of the time).
- Collaborate with cross-functional teams throughout the software development lifecycle, including requirements analysis, release management, and production support.
Technologies: Highly scalable and flexible web application based on state-of-the-art technologies like Java, JSF, JUnit, Mockito, PowerMock, JBehave, Grails, Spring, Hibernate, Sybase, Maven, GitLab, Liquibase, JMeter, Sublime, React, Cucumber.
Process: Agile process implemented, including artifacts such as product backlog refinement, sprints, product backlogs, retros, velocity, and feedback from end users. Quality is everything. UI/ UX developer and TDD/ BDD approaches with extended OOP/ clean practices on the board.
Infra: Superb infrastructure for development and communications.
Ongoing learning: Regular business training from real market operators from NY and London.
Innovation: open forum with top-down and bottom-up ideas for technical and organizational improvements. Moreover, towards Release When Ready, Release on Demand, Molecular Platform with Kafka, Flink, Elasticsearch, Docker for AI, and Azure cloud adoption.
- Design, develop, and enhance Java-based applications in line with business and functional requirements.
- Analyse existing code, troubleshoot issues, and implement performance, reliability, and maintainability improvements.
- Perform unit testing, code reviews, and support system integration and user acceptance testing activities.
- Develop and maintain CI/CD pipelines, infrastructure-as-code, and deployment automation using GitLab, Azure Pipelines, Terraform, and Unix scripting (around 30% of the time).
- Collaborate with cross-functional teams throughout the software development lifecycle, including requirements analysis, release management, and production support.
🔍 Dekoder Ogłoszenia
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Highly open-minded, progressive, and professional team.
Może oznaczać zespół, który jest otwarty na nowe pomysły, ale także może być niejasne, czy faktycznie jest progresywny, czy po prostu tak się prezentuje.
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state-of-the-art technologies
Lista technologii jest długa i zawiera zarówno nowoczesne, jak i starsze pozycje, co może sugerować utrzymanie legacy code.
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Quality is everything.
Podkreśla wagę jakości, ale nie precyzuje, jakie konkretne metody i narzędzia są stosowane do jej zapewnienia poza TDD/BDD.
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Superb infrastructure for development and communications.
Określenie 'superb' jest subiektywne i może oznaczać infrastrukturę, która jest jedynie wystarczająca, a nie wybitna.
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towards Release When Ready, Release on Demand, Molecular Platform with Kafka, Flink, Elasticsearch, Docker for AI, and Azure cloud adoption.
Wymienione są ambitne cele i technologie, ale nie jest jasne, na jakim etapie ich wdrożenia jest projekt i jakie są realne wymagania.