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Title

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Distributed Systems Engineer

Description

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We are looking for a Distributed Systems Engineer to join our dynamic technology team. In this role, you will be responsible for designing, building, and maintaining distributed computing systems that are scalable, reliable, and efficient. You will collaborate with cross-functional teams to develop solutions that power mission-critical applications and services. Your expertise in distributed architectures, cloud platforms, and networking will be essential in ensuring high availability and performance across our infrastructure. As a Distributed Systems Engineer, you will analyze system requirements, identify bottlenecks, and implement robust solutions to address complex technical challenges. You will work closely with software engineers, DevOps, and product managers to deliver seamless and resilient distributed systems. Your responsibilities will include designing APIs, optimizing data storage and retrieval, and ensuring data consistency and fault tolerance. You should have a strong background in computer science, with experience in distributed algorithms, consensus protocols, and large-scale system design. Familiarity with cloud services such as AWS, Azure, or Google Cloud Platform is highly desirable. You will also be expected to monitor system performance, troubleshoot issues, and implement automation to streamline operations. The ideal candidate is passionate about distributed computing, enjoys solving challenging problems, and stays up-to-date with the latest industry trends. Excellent communication skills and a collaborative mindset are essential, as you will be working with diverse teams to deliver high-quality solutions. If you are excited about building the backbone of modern digital services and thrive in a fast-paced environment, we encourage you to apply.

Responsibilities

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  • Design and implement scalable distributed systems
  • Collaborate with cross-functional teams to define system requirements
  • Develop and maintain APIs for distributed applications
  • Optimize data storage, retrieval, and consistency
  • Monitor system performance and troubleshoot issues
  • Ensure high availability and fault tolerance
  • Implement automation for deployment and operations
  • Document system architecture and processes
  • Participate in code reviews and technical discussions
  • Stay updated on emerging technologies and best practices

Requirements

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  • Bachelor’s or Master’s degree in Computer Science or related field
  • Proven experience with distributed systems and cloud platforms
  • Strong programming skills in languages such as Java, Go, or Python
  • Familiarity with distributed algorithms and consensus protocols
  • Experience with containerization and orchestration tools
  • Excellent problem-solving and analytical skills
  • Strong understanding of networking and security principles
  • Ability to work collaboratively in a team environment
  • Excellent written and verbal communication skills
  • Experience with monitoring and automation tools

Potential interview questions

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  • Can you describe your experience with distributed systems?
  • Which cloud platforms have you worked with?
  • How do you ensure data consistency in distributed environments?
  • What programming languages are you most proficient in?
  • Describe a challenging problem you solved in a distributed system.
  • How do you monitor and troubleshoot distributed applications?
  • What tools do you use for automation and deployment?
  • How do you stay updated with new technologies in distributed computing?
  • Have you worked with containerization or orchestration tools?
  • What is your approach to ensuring system security and reliability?