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Kleene it AI data partner that is revolutionising the data space, enabling organisations to gain visibility and actionable insight into their business, improve their customer experiences, accelerate growth, reduce risk, and foster a data driven culture. Already delivering great value projects for clients internationally, we are currently furthering our expansion into Europe and the US, with additional plans to target new markets in the near future. Huge growth ambitions over coming years!
Job Description
As a software engineer at Kleene, you will be responsible for designing, developing, and maintaining scalable and high-performance backend systems. This role requires deep expertise in functional programming, distributed systems, and backend architecture.
What the job involves
- Develop and maintain services using preferably Clojure and Java.
- Design and implement robust, scalable, and secure APIs.
- Work with cross-functional teams to define and implement new features.
- Optimize system performance, ensuring low-latency and high availability.
- Implement best practices for software development, including CI/CD, testing, and code reviews.
- Optimize application performance, scalability, resilience, and reliability.
- Collaborate with DevOps teams to manage deployments and infrastructure.
- Troubleshoot and debug complex system issues.
- Managing database systems and ensuring their stability, reliability, and performance.
- Identifying and resolving technical issues in a timely manner.
- Strong understanding of AI/ML/NLP.
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Key Skills
- Strong understanding of functional programming principles preferably Clojure.
- Experience with microservices architecture and RESTful API design.
- Experience of working with SQL and NoSQL databases such as PostgreSQL, MySQL, or MongoDB.
- Experience with messaging queues like SQS or Kafka.
- Experience with Large Language Models (LLMs), NLP, RAG, and Prompt Engineering.
- Experience working in Linux environment.
- Experience with containerisation technology like Docker, hosting platforms like AWS ECS, EKS, EC2.
- Ability to write clean, maintainable, and efficient code.
- Design distributed systems, scalable architectures, and optimised data models.
- Drive technical architecture discussions and influence engineering decisions.
- Knowledge of software development best practices used in SDLC and design patterns.
- Knowledge of warehouse services like Redshift, Big Query, or Snowflake.
- Humble and unafraid to ask questions while understanding the criticality.
- Ability to thrive in a fast-paced engineering environment.
- Strong analytical and problem-solving skills.
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If some of these describe you, you'll make a great fit:
- Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus.
- Experience with Langfuse or other agent monitoring tools.
- Experience with Jira or a similar issue-tracking system.
- Experience with testing frameworks.
- Understanding of Oauth, Saml authentication.
- Experience in an AGILE/SCRUM/Kanban development environment.
- Strong understanding of user authentication, user authorization, and security compliance.
Once shortlisted
- A quick chat with hiring manager.
- A assessment.
- Technical call to discuss the assessment.
- Culture Fit interview.
All the best!
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