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Software Engineer – Infrastructure

Remote | Pakistan

Full-Time | Pacific Time

About the product and job role:

Our Product: Ejento, built by Data Science Dojo, is a cutting-edge RAG platform that enables LLM application developers to build retrieval-augmented generation (RAG)-based applications efficiently. Our platform provides seamless integration of retrieval systems with LLMs, empowering developers to build scalable, context-aware AI solutions. At Data Science Dojo, we are committed to advancing AI by creating intuitive, high-performance interfaces that enable users to interact with AI-powered systems effortlessly.

Job Role: We are seeking a Software Engineer – Infrastructure to design, automate, and optimize cloud infrastructure, ensuring scalable and efficient deployment processes. In this role, you will manage cloud resources, enhance CI/CD pipelines, and contribute to the reliability and performance of our systems.

What you will do:

  • Develop and maintain backend solutions with a focus on automation and scalability.
  • Work with cloud infrastructure and DevOps tools to streamline deployments and optimize performance.
  • Manage Infrastructure as Code (IaC) and automate cloud resource provisioning.
  • Implement and manage containerized applications to improve deployment efficiency.
  • Collaborate with cross-functional teams to enhance system reliability, security, and scalability.
  • Stay updated with industry best practices and emerging technologies in backend development, cloud computing, and DevOps.

What we are looking for:

  • An undergraduate degree in Software, Information Systems, Computer Engineering, Computer Science, or equivalent experience, or a related field.
  • Basic experience or coursework in backend development and scripting.
  • Familiarity with DevOps practices, CI/CD pipelines, and deployment strategies.
  • Basic understanding of cloud platforms, containerization, and infrastructure automation, with familiarity with Infrastructure as Code (IaC) tools like Bicep or Terraform.
  • Strong analytical and problem-solving skills with a passion for security and risk mitigation.
  • Willingness to learn and adapt in a dynamic, fast-paced environment.
  • Ability to work independently and collaboratively across teams to address security challenges effectively.
  • Passion for education and data science, with an eagerness to explore security implications in these domains.

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