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Work with senior engineers to execute routine cloud infrastructure tasks (IAM, environment setup, tagging), assist deployments, monitor system health and alerts, write basic automation scripts and Terraform modules, and produce documentation and runbooks while learning the infrastructure stack.

Lead and build the IT Operations function for an entity: own data center/DC/DRC, endpoint fleet, office network, and IT platforms. Convert strategy into workstreams, drive cloud transition, ensure compliance, manage incidents, coach team performance, own processes, vendor governance, and stakeholder alignment.

Lead the companyfraud risk management across products and channels. Own strategy, detection, prevention, investigation, monitoring, governance, and performance for Fraud Analytics and Fraud Operations. Drive frameworks, incident management, reporting, stakeholder alignment, team leadership, and continuous improvement to reduce fraud while balancing business growth and customer experience.

Lead a team to develop large-scale applications, apply engineering best practices, and manage team productivity through coaching and process improvement.

The Senior Fraud Reviewer is responsible for detecting and mitigating fraud on the platform, investigating suspicious transactions and accounts, and collaborating with teams to improve fraud prevention.

Lead fraud analytics strategies across onboarding, transactions, accounts, and merchants. Analyze fraud trends, develop and optimize detection rules and monitoring, build dashboards and risk metrics, support product launches, convert investigations into scalable controls, and mentor fraud analysts to ensure effective fraud risk management.

As a Fullstack Engineer, you will design, develop, and maintain scalable web applications, and work closely with product and sales teams to deliver solutions.

Develop and execute automated test scripts for mobile and web apps, define test plans from user stories, run various test types (UI, functional, performance, regression, unit, integration), document analyses and test reports, and collaborate to triage and maintain high-quality user experiences.

Use data to monitor portfolio risk, set risk appetite and profitability benchmarks, create reports and early-warning triggers, assess portfolio actions, and provide actionable insights to mitigate credit risk.

Develop and implement backend services for Kredivo, focusing on scalability and integration of machine learning for credit scoring and fraud detection.