33 Cassandra jobs available for remote work from home. Apply for positions such as Entry Level Machine Learning Engineer (Remote - Canada), Engineer II, Advanced Research (Remote), Principal Software Developer - Vector Search - Elasticsearch, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will be responsible for building end-to-end machine learning systems, including data pipelines, model training, and production deployment. Additionally, you will collaborate with cross-functional teams to apply machine learning and AI to personalize user experiences and improve business operations.
Develop, maintain, and enhance distributed cloud services while ensuring they remain healthy and performant. Collaborate with multidisciplinary teams to integrate new detection capabilities into the Falcon platform.
Lead initiatives to enhance vector similarity search functionality within the Elasticsearch platform to ensure industry-leading speed and relevance. Collaborate with a globally distributed team to design, implement, and maintain complex search features while contributing to the underlying Lucene architecture.
Develop end-to-end technical data solutions that ensure performance, security, and scalability for enterprise clients. Create detailed technical documentation, including roadmaps, sequence diagrams, and system views while delivering presentations to stakeholders.
Design and develop high-volume batch and streaming data ingestion pipelines across AWS and GCP platforms. Lead and mentor junior engineers while collaborating with cross-functional teams to build new product features.
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Design and develop high-volume batch and streaming data ingestion pipelines across AWS and GCP platforms. Lead and mentor junior engineers while collaborating with cross-functional teams to build new product features.
You will be responsible for the administration, maintenance, and evolution of distributed Big Data platforms, with a focus on Cloudera and Apache Cassandra. This includes monitoring system health, managing security via Kerberos, and automating deployment processes using Azure DevOps.
The Senior Java Engineer will design and develop highly scalable applications using microservices and cloud-native architectures. They will lead technical problem-solving efforts and ensure the implementation of robust CI/CD pipelines and observability standards.
You will build and ship production-ready iOS and Android features using React Native and TypeScript while managing the full release pipeline. Additionally, you will translate Figma designs into high-performance components and ensure robust API integration.
Design and build backend systems and APIs to automate complex accounting logic. Manage the full software development lifecycle including architecture, testing, deployment, and integration with third-party systems.
Design, develop, and maintain scalable data pipelines and workflows using Spark, Hive, and Databricks. Collaborate with DevOps engineers to implement CI/CD processes and ensure data quality, security, and performance optimization.
Design, develop, and maintain scalable data pipelines and workflows using Spark, Hive, and Databricks. Collaborate with DevOps engineers to implement CI/CD processes and ensure data quality, security, and performance optimization.
Lead initiatives to enhance search engine speed and relevance while contributing to the development of new search features in Elasticsearch. Collaborate with a globally distributed team to design, implement, and maintain high-performance search capabilities using modern Java.
You will design and develop scalable backend services and microservices for an IoT platform that processes millions of telemetry data points. Additionally, you will be responsible for platform architecture, API design, and ensuring high software quality through automated testing and deployment.
Develop, deploy, and test Node.js based micro-services while participating in architectural brainstorming sessions. Provide support to fellow developers and end-users while engaging in collaborative code reviews.
You will drive inventive transformation by blending strategic, creative, and scientific capabilities to deliver cutting-edge solutions for clients. This involves building and deploying advanced AI models, including LLMs and agentic applications, while ensuring robust MLOps practices.
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Lead initiatives to enhance search engine speed and relevance while contributing to the development of new search features in Elasticsearch. Collaborate with a globally distributed team to resolve complex bugs and improve the overall search experience.
Establish and lead QA practices for an AI-first SaaS platform, owning the testing pyramid from the ground up. Design and execute test strategies across UI, API, and integrations while managing bug reporting and release validation.
Design and provision large-scale cloud-native data platforms and infrastructure on AWS and Azure using Snowflake. Lead technical teams in managing modern data stacks and provide architectural guidance to ensure scalability and security for multiple customer accounts.
Develop, operate, and maintain scalable backend services and APIs for banking and insurance partners. Collaborate with cross-functional teams to implement new features and contribute to long-term architectural decisions.
As the Founding Mobile Engineer, you will build the mobile product from the ground up and own the entire mobile architecture and development process. You will manage the end-to-end application lifecycle, including builds, store submissions, and OTA updates.
Design and maintain scalable backend services and event-driven distributed systems using Go, Kafka, and gRPC. Integrate acquired codebases into the existing platform and develop internal back-office APIs and admin tooling.
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Develop scalable front-end features and robust back-end services for Shopify e-commerce solutions. Collaborate with product designers and clients to architect, implement, and maintain high-performance web applications.
Architect and build a distributed backend for agent orchestration and workflow execution using Temporal and sandboxed environments. Own the distributed data pipelines and event-driven infrastructure to ensure platform resilience and scalability.
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Design and implement reliable platform capabilities across AWS and GCP to support AI agents and enterprise customers. Collaborate with developers to improve developer experience and manage mission-critical infrastructure and secure access patterns.
The role involves operating and developing IT infrastructure, focusing on Linux systems and Kubernetes environments. Responsibilities include managing network components like nginx and HAProxy, as well as optimizing various database and messaging technologies.
The Alliances Field Engineer will help partners understand and adopt Canonical's open source platform, focusing on joint solutions and go-to-market strategies. They will also provide technical insights and support for various technologies and architectures.
The role involves evolving and innovating Netflix's data infrastructure and building scalable, highly available distributed systems. Engineers will collaborate across teams to solve complex challenges and contribute to open source communities.
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