
501 - 1000 employés
Fondée en 2015
🤖 Intelligence artificielle
🤝 B2B
⚖️ Juridique
Artificial Intelligence • B2B • Legal
DISCO offre une solution juridique native pour le cloud, alimentée par l'intelligence artificielle, qui simplifie l'ediscovery, la révision de documents juridiques, la mise en attente légale et la gestion des affaires pour les entreprises, les cabinets d'avocats, les fournisseurs de services juridiques et les gouvernements. Notre solution intégrée et évolutive permet aux départements juridiques de collecter, traiter et examiner facilement les données d'entreprise pertinentes ou potentiellement pertinentes pour des questions juridiques.
🕒 il y a 27 jours
🇬🇧 Royaume-Uni – Télétravail
⏰ Temps Plein
🔴 Expert
🧑💻 Développeur Full-Stack
🇬🇧 Parrain de Visa de Travailleur Qualifié UK
👻 Score fantôme 10%
🗣️🇺🇸🇬🇧 Anglais requis
AWS
Azure
Cloud
Distributed Systems
Docker
ElasticSearch
Google Cloud Platform
Jenkins
Kafka
NoSQL
Open Source
Terraform
Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

501 - 1000 employés
Fondée en 2015
🤖 Intelligence artificielle
🤝 B2B
⚖️ Juridique
Artificial Intelligence • B2B • Legal
DISCO offre une solution juridique native pour le cloud, alimentée par l'intelligence artificielle, qui simplifie l'ediscovery, la révision de documents juridiques, la mise en attente légale et la gestion des affaires pour les entreprises, les cabinets d'avocats, les fournisseurs de services juridiques et les gouvernements. Notre solution intégrée et évolutive permet aux départements juridiques de collecter, traiter et examiner facilement les données d'entreprise pertinentes ou potentiellement pertinentes pour des questions juridiques.
• Drives the definition and evolution of our architecture using Distributed Domain Driven Design practices. • Acts as the strategy leader for key Architecture Quality Attributes (e.g., Availability, Performance, Scalability, Securibility) to inform architecture assessments. • Provides project-embedded architecture consultation to promote best Practices, design patterns, and informed buy vs. build decisions. • Contributes to the prioritization of platform capability improvements across feature and data platforms. • Enhances the capture and communication of architecture descriptions through automation and innovative tools. • Shepherds platform-wide strategies, including naming, protocol standards, and design patterns, to ensure ongoing value creation. • Communicates complex technical concepts effectively in both written and spoken forms, catering to both technical and non-technical audiences. • Collaborates with stakeholders to build consensus when necessary, ensuring alignment on architectural decisions.
• 15+ years of relevant experience • Experience with high volume distributed technical architectures with a high cost of failure, i.e. focus on reliability and availability • Experience with some amount of ‘Big Data’ technologies such as: ElasticSearch, NoSQL Stores, Kafka, Columnar Databases, DataFlow or Pipeline Systems, Graph DataStores • Experience with leveraging common infrastructure services like Enterprise Message Bus platforms, configuration services, Toggle management systems, and observability systems like Logging and Distributing Tracing Systems • Experience with Domain Driven Design concepts and practices such as bounded contexts, event storming, specification by example, etc. • Experience with design, implementation, and operation of data-intensive, distributed systems • Ability to design and communicate external and internal architectural perspectives of well-encapsulated systems (e.g. Service Oriented Architecture, Docker-based Services, micro-services) using patterns and tools such as Architecture/Design Patterns and Sequence Diagrams • Skilled using Continuous Integration and Continuous Deployment (CI/CD) with an emphasis on automation tools like Terraform, Jenkins, CodePipeline. • Knowledge of API / Data Model Design and Implementation, including how to scale out, make highly available, or map to storage systems • Knowledge of multiple software stacks • Skilled with designing and operating software in a Cloud Provider such as AWS, Azure, or GCP • Knowledge about algorithm development for intensive pipeline processing systems • Possesses an understanding of how to design and develop from a security perspective • Possesses an understanding of how to identify, select, and extend 3rd party components (Commercial or Open Source) that provide operational leverage but do not constrain product and engineering creativity
• Open, inclusive, and fun environment • Benefits, including medical and dental insurance • Competitive salary plus discretionary bonus • Opportunity to be a part of a startup that is revolutionizing the legal industry • Growth opportunities throughout the company
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