Jobs at TymeX

Design, build, and maintain CI/CD pipelines, automate infrastructure provisioning in AWS, support containerized deployments, provide operational tooling and metrics, participate in on-call rotation, and improve developer experience through automation and cloud-first practices.

Develop and maintain credit scoring solutions: feature engineering, model development/tuning, PD-to-bad-rate calibrations, monitoring, and production-ready specifications in partnership with engineering and decisioning teams. Ensure stability, explainability, governance, and clear documentation for scoring and calibration outputs.

Lead and grow engineering teams building authentication and authorization systems. Own product/component lifecycle, shape technical roadmap, architect scalable cloud microservices, mentor engineers, and drive cross-functional delivery.

Design, build, test, deploy and monitor scalable ETL/ELT data pipelines in Databricks on AWS using PySpark and SQL. Create data quality dashboards, lineage and monitoring, migrate legacy data, apply Spark structured streaming, ensure data security/privacy, optimize code, and support DevOps/CI-CD practices.

Design, build, deploy and maintain API integrations and identity services across the full product lifecycle. Work with Java/Python/Go, REST/SOAP APIs, API management platforms (WSO2/MuleSoft/Kong), OAuth2/SSO, Swagger, AWS and observability tools to deliver, monitor and improve production features and CI/CD pipelines.

Join GoTymeX as a Mobile (iOS/Android) Intern to learn and build mobile banking features. Work with Kotlin or Swift, use Git, read cross-repo codebases, implement mobile architectures, consume REST APIs, and collaborate with mentors to ship real products.

Lead end-to-end engineering delivery for a new crypto and payments product: hire and grow the founding team, set architecture and integration frameworks, make build-vs-buy decisions, run AI-native engineering practices, orchestrate multi-vendor integrations, and partner with product, design, compliance and bank engineering to deliver regulated products across jurisdictions.

Design, develop, test, deploy, monitor and own Java backend services focused on scalability, high availability, and low latency. Work in Agile/DevOps teams to analyze requirements, propose solutions, implement features, and maintain distributed microservices. Participate in technical design, automated testing, and continuous improvement.

Lead hands-on development and architecture for mobile banking apps. Provide technical leadership, coach engineers, design solution architectures, implement best practices, integrate mobile with web services, improve performance and testing, and drive mobile roadmap across in-country and cross-border products.

Lead QA across scrum teams: define and execute test plans and strategy, oversee automation and reusable frameworks, ensure end-to-end quality from non-prod to production, manage and coach up to 10 QA engineers, communicate risks to senior management, and drive QA processes and culture while collaborating with engineering, product and third parties.

Perform advanced automated penetration tests on web, mobile, and API banking applications; review source code and designs; build automation frameworks and tools to scale security testing; integrate security scanning into CI/CD and production; validate vulnerabilities and champion secure development practices.

Use customer, bureau, transactional and repayment data to build and monitor credit risk features and predictive models. Design and evaluate credit policy experiments, support portfolio analytics (vintage, roll-rates, migration), implement model/feature monitoring, and collaborate with data engineering on pipelines, data quality, and governance.

Lead backend teams to define requirements, drive technical direction, and build scalable, reliable APIs and microservices. Design high-performance systems, database schemas, event-driven architectures, and cloud deployments while ensuring quality through testing, monitoring, and agile delivery.

Lead and build a new Scrum team for a fintech digital banking platform. Facilitate agile ceremonies, remove impediments, coach team members, manage backlog/MSL, ensure Definition of Done, oversee delivery cadence, coordinate stakeholders, drive continuous delivery and technical debt management, and remain hands-on with technical work when needed.

Lead vision, strategy, and roadmap for a shared consumer lending platform. Define platform design principles, manage multi-product delivery, translate credit/risk/compliance into engineering-ready specs, run vendor evaluations, enable real-time decisioning and ML feature usage, and coordinate cross-functional stakeholders to deliver scalable lending capabilities across markets.

Work with senior designers to create user-centered banking experiences across markets: conduct research, map journeys, produce low- and high-fidelity wireframes and UI, maintain design system consistency, collaborate with product and engineering, present designs, benchmark competitors, and provide developer handoff documentation while learning tools and frameworks.

Lead the product lifecycle for payments: define vision and roadmap, manage discovery, prioritize backlog, run sprints with engineering, use data to measure outcomes, and align stakeholders for launch and continuous improvement.

Design, build and operate end-to-end data and ML platforms on AWS and Databricks. Architect data lakes, warehouses, streaming and batch pipelines, MLOps toolchains, CI/CD and IaC, enforce governance, observability and security, optimize performance and cost, resolve production incidents, mentor teams, and evaluate new cloud and ML technologies.

Design, develop, test, deploy, and maintain scalable, highly available backend services for a new digital banking platform. Participate in technical design, full product lifecycle ownership, Agile/Scrum delivery, and DevOps practices while solving complex technical and business problems.

Lead hands-on credit analytics work: build and evaluate credit risk features and models, run credit policy experiments, perform portfolio analytics, mentor junior data scientists, set technical standards, and partner with Data/Engineering for data quality and governance.