Jobs at IDnow

The Onboarding Implementation Consultant will manage technical deployment of IDnow products, ensuring efficient implementation, stakeholder engagement, and ongoing support during onboarding and stabilization stages.

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.

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.

Design, build, and maintain scalable Java backend microservices for an identity verification platform. Contribute to architecture, optimize JVM performance, develop RESTful APIs, write tests, work in cross-functional Agile teams, and mentor junior developers.

Lead platform architecture and AWS migration; design, build, and maintain Kubernetes across cloud and on-prem; manage Proxmox/Ceph virtualization; implement IaC with Terraform and Ansible; manage networking, TLS and Vault security; improve CI/CD, observability, and platform reliability; participate in on-call rotations and incident response; mentor peers and drive technical direction.

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.

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.

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.

As a Migration Manager, you will oversee the migration of customers to the TrustPlatform, coordinating teams and managing relationships throughout the process.

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.

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.

Provide L1-L3 support and maintain internal IT systems for a distributed team: manage Windows and Linux workstations, Active Directory/LDAP, Azure/O365, internal tools (JIRA, Confluence, GitLab), network/firewall/wifi administration, participate in cross‑team projects, and implement security and infrastructure improvements.