Top Tech Jobs & Startup Jobs

As a CRM Manager at Teya, you will lead customer communication strategies, focusing on email marketing campaigns, optimization through A/B testing, and analysis of campaign performance. You will play a key role in launching new products and ensuring a seamless customer experience.

As a Customer Onboarding & KYC Analyst at Teya, you will conduct thorough due diligence of KYC/KYB, monitor customer activities, and ensure compliance with regulations. Responsibilities include performing ongoing transaction monitoring, preparing AML training materials, and conducting Enhanced Due Diligence investigations. You will work collaboratively with teams to provide necessary documentation and support financial crime prevention efforts.

As a Backend Software Engineer at Teya, you will own the full feature development lifecycle, focusing on designing and maintaining scalable and efficient backend systems. You will collaborate with cross-functional teams, enhance existing systems, and contribute to process improvements in a dynamic environment.

As a Software Engineer, you will be involved in the entire feature development lifecycle, writing maintainable code using technologies like Node.js and PHP. Your responsibilities include building tools, integrating systems, code reviews, and improving software components collaboratively within the team while ensuring secure and well-tested code.

As a Backend Software Engineer at Teya, you will design, develop, and maintain scalable systems, driving the feature development lifecycle from scoping to delivery. You will collaborate with cross-functional teams, enhance existing systems, and participate in process improvements, ensuring robust performance of backend systems under a continuous deployment environment.

The Data Engineer will design, develop, and implement upgrades to legacy data solutions, maintain ETL flows, ensure data reliability, manage stakeholder expectations, and build data models on complex datasets. They will also work collaboratively within a strong Data Engineering team to create a scalable Data Platform.

The Data Engineer will design, develop, and implement upgrades to legacy data solutions, maintain and improve ETL flows, ensure data reliability, manage stakeholder expectations, implement automation, and enhance data models and warehouse design.