Senior Engineer I at Phillips 66 combining engineering and physics models with ML. Enhancing safety, reliability, and profitability through digital product development.
About the role
- Java Backend Developer at Perfecto building scalable backend systems using Java and Spring Boot. Collaborating with cross-functional teams to deliver high-quality solutions.
Responsibilities
- Design, develop, and maintain scalable backend services using Java and Spring Boot.
- Collaborate with frontend developers, QA, DevOps, and product teams to deliver end-to-end solutions.
- Build and maintain RESTful APIs and microservices.
- Optimize backend systems for performance, reliability, and scalability.
- Write clean, efficient, and well-documented code following best practices.
- Implement security and data protection measures.
- Perform unit, integration, and performance testing.
- Troubleshoot and debug production issues.
- Participate in code reviews and contribute to continuous improvement.
- Stay current with emerging technologies and backend development trends.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- 7+ years of experience in backend development with a strong focus on Java.
- Proficiency in Java 12+ and Spring Boot framework.
- Experience with RESTful API design and development.
- Solid understanding of microservices architecture and distributed systems.
- Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
- Experience with message brokers like Kafka or RabbitMQ.
- Knowledge of containerization and orchestration tools (Docker, Kubernetes).
- Proficiency with version control systems like Git.
- Experience with CI/CD pipelines and tools like Jenkins, GitLab CI, or similar.
- Familiarity with Agile/Scrum methodologies and tools like Jira or Trello.
- Hands-on experience building and maintaining data pipelines using cloud-native tools such as AWS Glue, Azure Data Factory, or Google Cloud Dataflow.
- Experience integrating backend services with data lakes, data warehouses (e.g., Amazon Redshift, BigQuery ), and real-time streaming platforms (e.g., Kafka, Kinesis).
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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