IDnow
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As a QA Automation Engineer, you will develop automated tests for Web, API, and Mobile, integrate them into CI/CD pipelines, and collaborate with teams for product quality assurance.
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As a Senior QA Engineer, you will ensure the quality of AI/ML-powered identity verification services through automated testing, collaborating with software engineers and data scientists.
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Write technically accurate B2B product communications (feature updates, EOL notices), support Customer Advisory Board logistics and materials, collaborate with Product, Marketing and Customer Growth to align messaging and prepare CAB events and follow-ups.
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The Sales Specialist will identify new business opportunities, support clients throughout the sales cycle, and contribute to sales growth. Responsibilities include presenting SaaS solutions, collaborating with internal teams, and following up on leads using CRM tools.
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Lead partner identification, recruitment, enablement, and go-to-market for IDnow's QTSP services across European markets. Build partner ecosystems, drive joint sales and marketing, develop pipeline, provide market intelligence on eIDAS and digital trust opportunities, and support deal closure.
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The Product Manager will own the product lifecycle, drive customer migrations, define KPIs, manage roadmaps, and support migration to a new platform while ensuring compliance and collaboration with various teams.
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As a Staff DevOps Engineer, lead the architectural direction and manage cloud migration to AWS, ensuring best practices and platform reliability while mentoring team members.
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As a Python Developer in the AI & ML team at IDnow, you will design and maintain micro-services for AI-based fraud detection, optimize algorithms, ensure code quality, and collaborate with product owners to meet customer needs.
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As a Senior Solution Engineer, collaborate with sales to qualify and shape solutions, design architectures, validate technical implementations, and build relationships with stakeholders while ensuring integration aligns with customer needs.
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Design, build and operate a next-generation data lake and associated tooling for AI/ML R&D. Develop APIs, data services, CI/CD and containerized deployments, manage large sensitive datasets with GDPR-compliant governance, and collaborate with ML, QA, product and DevOps teams.
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The Migration Manager oversees the end-to-end migration of customers onto IDnow's TrustPlatform, managing relationships, coordinating teams, and ensuring successful integration and onboarding.
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As a Migration Manager, you will oversee the migration of customers to the TrustPlatform, coordinating teams and managing relationships throughout the process.
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Design, implement, and maintain scalable integrations and AI-driven workflows across cloud, SaaS, and internal systems. Build GitLab CI/CD pipelines, provision AWS infrastructure with Terraform, develop automation and middleware (Node.js/Python), manage MCP Node.js servers, and integrate ML/LLM services into data pipelines. Collaborate across teams, ensure secure, well-documented integrations, and participate in code reviews and performance tuning.
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The Onboarding Implementation Consultant will manage technical deployment of IDnow products, ensuring efficient implementation, stakeholder engagement, and ongoing support during onboarding and stabilization stages.
