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Senior Fullstack Engineer to Verified (CLM/eSign)

edzagroup
Companyedzagroup
CategoryEngineering
Location
Remote
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted3 Jun 2026
Last verified3 Aug 2026
SourceEmployer ATS (teamtailor)
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Description
Are you an experienced fullstack engineer who wants to build modern cloud-based SaaS solutions? This role offers the opportunity to work across the full stack, influence architecture, and contribute to scalable, high-impact solutions within Verified’s CLM and eSign domain. About Verified Verified started with solutions for electronic signing, identity verification, and contract management. In close collaboration with its customers, the company has since evolved into a RegTech provider of digital workflows for Anti-Money Laundering and supplier due diligence. The platform is API-first and delivered as SaaS and PaaS, built for secure and scalable cloud-based services across electronic signing, electronic identification and AML capabilities. An “AI-first” approach is also being adopted, with AI agents and services integrated both internally and into customer-facing products. The team consists of dedicated colleagues across the Nordics and Europe and the company culture is built on shared ownership, where all employees contribute to building the future of Verified and take responsibility for what is promised and delivered, both internally and in customer collaborations. These values have been central to the company’s journey so far and will continue to be important as it grows and aims for even higher goals. About the role and the team As a Senior Fullstack Engineer within the CLM and eSign domain, you will play a key role in developing and evolving cloud-native SaaS solutions running in AWS. Working across both frontend and backend services, you will contribute to secure, scalable, and resilient systems that support business-critical signing and contract workflows. You will join a high-autonomy team where ownership is shared and responsibility spans the full lifecycle of features and services, from planning and development to deployment, monitoring, and continuous improvement. The team is focused on scalability, engineering excellence, and accelerating innovation through modern technologies and AI. Working in an agile environment, you will collaborate closely with product and engineering colleagues to deliver high-quality solutions and continuously improve the platform. Key responsibilities include: Design, develop, and maintain scalable microservices and web applications in AWS Contribute to architecture and technical decisions within the team Support the transition towards a shared infrastructure across eSign systems Integrate AI capabilities such as AI agents and RAG into products and development workflows Take ownership of features throughout the full lifecycle, from planning to release and production monitoring Troubleshoot, debug, and resolve production issues Drive engineering quality through code reviews, testing, CI/CD, and best practices Contribute to continuous improvement in architecture and engineering practices About you We believe you are a self-driven engineer who enjoys taking ownership and working in high-autonomy teams. You are comfortable working across the stack in modern SaaS environments and motivated by building scalable cloud-based solutions that create real value for users and customers. You are curious about new technologies, including AI, and interested in how they can be applied across both products and the software development lifecycle. You enjoy solving technical challenges and continuously improving systems, processes, and ways of working. To succeed in this role, we believe you likely bring: Several years of experience as a Fullstack Engineer working with modern cloud-based SaaS solutions. Strong experience with Node.js, ASP.NET, and React Experience building microservices and web applications Hands-on experience with AWS and serverless architectures Good understanding of modern application architecture, scalability, and security Experience or interest in AI tools and technologies used in software development Experi