Computer Scientist 2

Job Description

In this role, you will:

• Design, develop, and maintain high-quality, scalable, and resilient Java-based applications and services
• Translate complex business and product requirements into robust, maintainable, and efficient backend solutions
• Define and improve backend architecture, ensuring scalability, reliability, and high availability across distributed systems
• Build reusable frameworks, libraries, and common services that improve engineering productivity and consistency
• Collaborate closely with product managers, architects, frontend engineers, and cross-functional teams to deliver end-to-end solutions
• Design and develop RESTful APIs and microservices following industry best practices
• Ensure application performance, security, observability, and reliability in production environments
• Conduct code reviews and uphold high standards for code quality, testing, documentation, and maintainability
• Drive the adoption of modern engineering practices, including clean architecture, design patterns, and cloud-native development
• Troubleshoot and resolve complex production issues, performance bottlenecks, and scalability challenges
• Mentor junior engineers and contribute to a collaborative, globally distributed engineering culture
  

Must Haves:

• 10+ years of experience in Java backend or full-stack development with a strong backend focus
• Extensive knowledge of Java (Java 11/17+), Spring Boot, Spring Framework, and related backend technologies
• Strong understanding of object-oriented design principles, design patterns, and clean coding practices
• Experience designing and building large-scale, distributed, high-performance applications
• Hands-on experience with RESTful APIs, microservices architecture, and asynchronous event-driven systems
• Experience with messaging technologies such as Kafka, RabbitMQ, or similar platforms
• Strong knowledge of relational and NoSQL databases, including data modelling and performance optimization
• Experience working with cloud platforms (AWS, Azure, or GCP) and container technologies such as Docker and Kubernetes
• Good understanding of CI/CD pipelines, automated testing, and DevOps practices
• Strong problem-solving, debugging, and analytical skills
• Excellent communication and collaboration skills
• Bachelor’s degree or Master’s degree or equivalent experience in Computer Science or a related field
  

Nice-to-Haves:

• Experience with distributed caching technologies such as Redis or Hazelcast
• Familiarity with workflow orchestration and event streaming platforms
• Experience with observability tools such as Prometheus, Grafana, ELK, Splunk, or OpenTelemetry
• Exposure to domain-driven design (DDD), CQRS, and Event Sourcing patterns
• Experience building cloud-native applications using Kubernetes and service mesh technologies
• Understanding of application security, authentication, and authorization frameworks (OAuth2, JWT, OpenID Connect)
• Experience with infrastructure as code (Terraform, CloudFormation, etc.)
• Experience collaborating across multiple teams and geographies

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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