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Описание вакансии
TL;DR
Senior Java Backend Engineer (AWS): Building and scaling distributed systems and event-driven microservices with an accent on Java, Spring Boot, Kafka, Confluent Cloud, and cloud-native infrastructure. Focus on designing resilient services, tuning real-time data pipelines, managing Terraform and Kubernetes deployments, and building Cucumber-based automated testing.
‼️‼️🆕 Senior Java Backend Engineer
*Location:* Remote
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### About the Role
We are looking for a hands-on *Senior Java Backend Engineer* to design, build, and scale our core distributed systems and event-driven architecture. You will work closely with product and infrastructure teams to deliver high-performance microservices deployed on AWS, leveraging modern cloud-native tooling, real-time data streaming via Confluent Cloud, and robust automation testing practices.
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### Key Responsibilities
* *Design & Development:* Build scalable, resilient, and secure microservices using *Java and Spring Boot*.
* *Event-Driven Architecture:* Implement real-time data streaming and asynchronous messaging pipelines using *Apache Kafka* and *Confluent Cloud*, alongside traditional message queues.
* *Infrastructure & Deployment:* Manage cloud infrastructure on *AWS* using *Terraform* for Infrastructure as Code (IaC), including configuring Kubernetes manifests, environment variables, and *ConfigMaps*.
* *Quality & Automation:* Drive engineering excellence by writing comprehensive automated test suites using *Cucumber (BDD)* and JUnit, ensuring high test coverage and reliability.
* *Collaboration:* Participate in code reviews, system design discussions, and CI/CD pipeline optimization in an Agile environment.
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### Required Skills & Qualifications
* *Core Engineering:* 3+ years of robust software development experience with strong proficiency in *Java 17+* and the *Spring Boot* ecosystem.
* *Streaming & Messaging:* Deep hands-on experience with *Apache Kafka, schema registries, consumer/producer tuning, and managed Kafka platforms like **Confluent Cloud*. Familiarity with other message queues (e.g., RabbitMQ, AWS SQS) is a strong plus.
* *Cloud & DevOps:* Proven experience deploying and managing production workloads on *AWS* (ECS, EKS, RDS, IAM, S3).
* *Infrastructure as Code:* Strong command over *Terraform, managing cloud resources, modular configurations, and Kubernetes **ConfigMaps* / secrets management.
* *Testing:* Demonstrated experience building BDD-based automated test frameworks using *Cucumber* integrated into CI/CD pipelines.
* *Mindset:* Strong first-principles problem-solving skills, attention to detail, and a focus on clean, maintainable code architecture.
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