Clojure Developer

Qualifications

• At least 4 years of experience in architecting large-scale systems with challenges of scalability and delivering sub-second latencies on 99.99% uptime.
• Expertise in Clojure programming language.
• Kafka to process large amounts of data is a must.
• Experience with monitoring tools such as Grafana and Splunk.
• Proven understanding of microservices-oriented architecture and extensible REST APIs.
• Experience with cloud application development (2 years).
• Experience in containerization and orchestration technologies like Docker and Kubernetes.
• Experience with CI/CD pipelines and best practices.
• Advanced knowledge of performance, scalability, and system architecture with an eye toward avoiding and reducing technical debt.
• Practical knowledge of agile software development methodologies (e.g., Scrum).
• Experience in large-scale distributed systems and event-driven architectures.
• Strong background in algorithms and data structures.

We are seeking a skilled Clojure Developer to join our team for a Point-of-Sale migration project. The ideal candidate will have a strong background in architecting large-scale systems and will be responsible for migrating old POS systems to new ones. This role involves not only coding but also setting up pipelines and pushing to production.

• Architect and develop large-scale systems with a focus on scalability and delivering sub-second latencies with 99.99% uptime.
• Migrate old POS systems to new ones, ensuring seamless integration and minimal disruption.
• Set up and maintain CI/CD pipelines to streamline the development and deployment process.
• Push updates and new features to production environments.
• Write clean, maintainable, and efficient code in Clojure.
• Design and implement algorithms and data structures to solve complex problems.
• Develop and maintain microservices-oriented architecture and extensible REST APIs.
• Build and optimize cloud-based applications, focusing on scalability, data-driven solutions, and cost optimization.
• Process large amounts of data using Kafka.
• Utilize containerization and orchestration technologies such as Docker and Kubernetes.
• Ensure high performance, scalability, and system architecture while minimizing technical debt.
• Collaborate with multidisciplinary teams using agile software development methodologies (e.g., Scrum).
• Work with non-relational databases (e.g., Cosmos
  
  DB) to manage and store data.
• Stay current with emerging technologies and industry trends.

• Mid-Senior level

• Contract

• Engineering and Information Technology
• Staffing and Recruiting