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Lead Xebia’s global cybersecurity strategy, operations, and AI/LLM security, overseeing incident response, cloud/identity security, and resilience while building a distributed security team.
Build and maintain secure, automated GCP environments for clients using IaC (Terraform), CI/CD, and observability tools while supporting incidents and platform health.
This role involves providing technical consulting and hands-on support for customers using Apache Airflow to build and manage their data platforms. You will help clients design DAGs, troubleshoot production issues, and integrate Airflow into their existing cloud data ecosystems.
Leads complex enterprise technology migrations (identity, access, and cloud) by structuring programs, managing cross-team dependencies, and ensuring seamless execution and stakeholder alignment.
Coordinates QA activities for complex projects, managing testing processes, documentation, and stakeholder communication while ensuring quality gates and defect resolution align with client requirements.
Designs and builds data products on AWS for a data mesh platform, migrating legacy data and enabling product teams to own their data. Uses Flink, Kafka, and Python for streaming/batch pipelines while mentoring engineers and driving cultural adoption of data ownership.
You’ll analyze insurance workflows, model Guidewire PolicyCenter solutions, and bridge client needs with development teams using ACE-certified expertise.
Build and maintain scalable data pipelines on GCP, migrating workloads to BigQuery and ensuring high-quality, production-grade data products for analytics and BI.
The Senior Business Analyst will lead discovery phases for complex IT projects, translating business needs into structured requirements and roadmaps while collaborating with cross-functional teams. The role requires extensive analytical experience and the use of AI-assisted tools to improve productivity and project outcomes.
Develops and deploys AI-powered knowledge management solutions on-site at customer environments, building integrations and tuning AI workflows for enterprise clients.
This role involves leading a software engineering team focused on developing test frameworks and content for TPU silicon validation. The manager will oversee technical roadmaps, guide system design, and collaborate with hardware teams to ensure the functionality and performance of cutting-edge AI chips.
The Climate Data Analyst builds and optimizes AI/ML models, specifically ARIMAX, to predict drought conditions. The role involves cleaning climate datasets, automating model updates, and integrating results into a web portal.
The Senior AI Security Technical Architect will develop and implement an enterprise-wide security strategy for AI and generative AI initiatives. This role ensures that AI deployments are secure, compliant, and aligned with business objectives.
Staff-level SecOps engineer building and owning cloud security improvements across AWS/GCP, Kubernetes, and CI/CD, while designing detection/response capabilities and leading incident investigations with a strong automation bias.
Vianai is seeking a Frontend Developer to collaborate with the ML data science and engineering team to design and implement human-centered AI product experiences.
Documentation Specialist at Parloa creating and maintaining product docs, SOPs, and release notes for their AI-powered conversational platform (AMP) using docs-as-code workflows in a Berlin office.
Vianai is seeking full-stack developers to build and enhance their collection of machine learning products. The role involves working in cross-functional teams to develop features across the entire product stack.
Build and maintain production AI systems using LLMs, agents, and retrieval pipelines that autonomously engage donors for nonprofits, combining backend services with AI workflows.
Build and evolve Java-based microservices, integrate AI/LLM capabilities, and design event-driven APIs in a distributed environment.
Builds full-stack AI-native applications by designing scalable architectures, integrating generative AI agents, and optimizing cloud infrastructure, bridging frontend/backend with product-focused problem-solving.
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