Software Engineer - In-Store Systems [United Kingdom]
OloFull Time
Junior (1 to 2 years)
Recent graduates with a Bachelor's or Master's degree in Computer Science or a related technical field, based in the UK with a UK address, are required. Candidates must possess good knowledge of data structures and algorithms and proficiency in at least one programming language such as Java, C, C++, Python, or Go. The role also requires self-motivation, strong team collaboration and communication skills, and a readiness to work in a fast-paced, innovative environment with an interest in building large-scale distributed systems.
Contribute to the design, development, and operation of scalable, resilient data infrastructure for observability, logging, alerting, and metrics. Collaborate with engineers to build and maintain core platform components like Health+, Metrics API, and Alert Platforms. Write clean, efficient, and well-tested code, participate in code reviews and technical discussions, and take ownership of small projects to deliver features impacting Confluent Cloud's reliability and usability.
Data streaming solutions for real-time processing
Confluent specializes in data streaming solutions, focusing on helping businesses manage and process real-time data streams. Its main product is built on Apache Kafka, an open-source platform that allows users to create real-time data pipelines and streaming applications. Clients, including large enterprises and financial institutions, utilize Confluent's tools to collect, process, and analyze data streams, which helps them make quicker and more informed decisions. Unlike many competitors, Confluent offers a subscription-based model for its cloud platform, Confluent Cloud, and its on-premises software, Confluent Platform, ensuring a steady revenue stream. The company also provides professional services like training and consulting to assist clients in optimizing their data streaming solutions. Confluent's goal is to be a leader in the data streaming market, enabling organizations to leverage real-time data for improved operational efficiency.