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Job Location | London |
Education | Not Mentioned |
Salary | £40,000 - £100,000 per annum |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent, full-time |
As a Software Engineer (Core) at Grakn Labs, you will be building a distributed database - Grakn, the query language - Graql, and all the technology infrastructure in the organisation.Grakn is a distributed knowledge graph: a logical database that allows you to organise large and complex networks of data as one body of knowledge. Grakn provides the knowledge engineering tools for developers to easily leverage the power of Knowledge Representation and Reasoning when building complex systems. Ultimately, Grakn serves as the knowledge-base foundation for cognitive and intelligent systems.Graql is Grakns query language. It provides an expressive knowledge schema language through an enhanced entity-relationship model, transactional queries that perform deductive reasoning in real-time, and analytical queries with native distributed Pregel and MapReduce algorithms. Graql provides a strong abstraction over low-level data constructs and complex relationships.Graql is distributed as an open-source technology, while Grakn comes in two forms: Grakn Core - which is also open-source, and Grakn KGMS - our enterprise Knowledge Graph Management Service, available through Google Cloud and Amazon AWS.Under-the-hood, our technology is built with open-source and distributed technology stacks: from ANTLR to TinkerPop, Hadoop, Spark, Cassandra, Akka, gRPC, Bazel, and Kubernetes. We are also still evolving the Grakn architecture to be even more scalable and well be adopting new frameworks that could revolutionise our performance. Our main (back-end) development language is Java, but we also provide our database client drivers in Python and Node.js as well, and we intended to support the top 10 languages. We automate our entire build and release pipeline, and we treat them as a first-class citizen in our work and architecture.Your work as a Software Engineer (Core) will span across all aspects of software engineering; from programming and debugging, to architecture design, build engineering, release engineering, documentation, workflow automation, PRs & code reviews, as well as R&D. Your goal is to build the most intelligent, powerful and scalable database of our generation.Culture:You will be joining a team that cares deeply not just about the intelligence of the code, but also the elegance and simplicity of the solution. We have a strong sense of urgency, but we always know "why" something needs to be developed, and we make sure that we work purposefully. Although we are expected to be independent in the common engineering tasks, we collaborate in perfecting our ideas and solutions. Every time we have an opportunity to change our workflow, infrastructure or architecture to improve our technology performance, user experience or developer productivity, we take that opportunity, and we grow.Requirements:- Bachelors degree in Computer Science or Software Engineering- 5+ years of programming experience (working in the commercial sector)- Demonstrable experience in leading a team or mentoring others- Experience as a Software Engineer- Strong programming experience in Java OOP languages- Proven experience in back-end systems with multithreading and parallel programming- Proven experience in distributed systems and cloud environments- Proven experience in working with parallel and distributed computing framework such as Hadoop, Spark, Cassandra, Akka, Storm, GRPC, Hadoop, Giraph, RabbitMQ, Kafka, Zookeeper, etc.- Proven experience in build and release (CI/CD) engineering- Proven experience in working with database systems- Familiarity with client-server architecture- Familiarity with full-stack software development- Familiarity with large-scale software architectures that spans across multiple repositories- Familiarity open-source software development and community- Strong communication, documentation, writing, and presentation skillsBonus skills (any advanced degree or experience in developing)- Programming or Query Languages- Knowledge Representation Systems- Automated reasoning- Formal Logic- Database Systems