Employer description & source details
Design, build, and maintain highly available, secure authentication systems and API services. Develop and operate low-latency microservices capable of handling high-throughput workloads. Maintain and evolve mission-critical internal databases, backend services, and distributed architectures. Ensure production systems meet stringent standards for reliability, scalability, performance, and security. Distributed Systems and Infrastructure Architect, optimise, and operate high-volume, auto-scaling infrastructure for real-time data ingestion and processing. Build and maintain systems that process substantial data volumes, including several terabytes per day, or support millions of users. Develop and improve machine learning inference infrastructure and other latency-sensitive backend services. Implement monitoring, observability, and reliability practices for production-grade distributed systems. Contribute to cloud infrastructure and deployment automation using modern DevOps tools and practices. Design and develop scalable search systems and agentic workflows capable of supporting high levels of concurrency. Improve large language model (LLM) accuracy, cost efficiency, and scalability through effective prompt and context engineering. Work on capabilities such as data ingestion, text summarisation, semantic search, traditional search, and agent orchestration. Optimise system performance and resource utilisation for AI-powered applications. Data Processing and Database Management Build and maintain large-scale and real-time data processing pipelines. Work with relational and NoSQL databases to support high-volume, distributed workloads. Design and optimise data processing architectures using technologies such as PostgreSQL, Kafka, Flink, Snowflake, Hadoop, and ZooKeeper. Ensu
Extracted skills: react, node.js, python, java, go, c++, sql, postgresql, redis, aws, docker, kubernetes