Jobs at TymeX

Source and attract technology talent across engineering, product, and data roles. Build talent pipelines, conduct market mapping, run personalized outreach, screen candidates, perform pre-screen calls, coordinate interviews, maintain ATS records, and support recruitment marketing and funnel reporting. The role partners closely with recruiters and hiring managers in a fast-paced, high-growth environment.

Own the roadmap, backlog, and delivery of regulated retail investment products spanning stocks, crypto, and future asset classes. Translate capital markets and digital-asset mechanics into simple customer experiences, manage broker and vendor integrations, define KPIs, and coordinate Engineering, Design, Compliance, Legal, and Marketing across jurisdictions. The role requires hands-on agile product management, technical literacy, regulatory expertise, and experience scaling consumer financial products.

Develop and technically lead iOS mobile banking solutions using Swift, shaping mobile architecture, roadmaps, solution designs, and engineering practices. The role includes hands-on development, coaching engineers, performance optimization, testing, integrations with web services, custom UI development, and collaboration across Agile delivery teams. The developer will support digital product innovation, risk management, enterprise technology standards, and ongoing mobile product maintenance.

Design, build, and operate full-stack lending platforms using React.js, Java, Python, and AWS. Develop secure web applications, APIs, microservices, integrations, and scalable data models supporting lending workflows. Lead technical design, production readiness, monitoring, incident response, testing, and reliability improvements. Collaborate with cross-functional stakeholders, participate in reviews, mentor engineers, and improve engineering standards, security, performance, and developer productivity.

Design, develop, test, deploy, and monitor scalable data pipelines in Databricks on AWS using PySpark and SQL. Build data quality dashboards, lineage flows, and monitoring tools; improve processes through automation and optimization; migrate legacy data; and uphold data security, privacy, retention, governance, and quality standards.

Own the vision, strategy, roadmap, and lifecycle of a shared lending platform serving multiple products and markets. Define platform architecture principles, APIs, configuration capabilities, and build-versus-buy decisions. Lead real-time credit decisioning, risk and compliance integrations, data aggregation, IFRS9 reporting, and ML-assisted lending capabilities. Coordinate dependencies across lending products and collaborate with Credit Risk, Analytics, Engineering, Compliance, and country business teams.

Build and own AI-first financial products across the full lifecycle, from requirements and system design through deployment, testing, and operations. Develop scalable backend systems primarily with Java and AWS, integrate frontend and portal experiences, apply agentic coding and prompt engineering, validate product assumptions with customers and data, and continuously improve solutions through rapid experimentation.

Own product analytics for Product-Led Growth pods across banking apps in the Philippines and South Africa. Analyze adoption funnels, cohorts, retention, customer behavior, and experiment results; guide A/B and multivariate testing; define instrumentation and event taxonomies; validate data quality; build decision-focused dashboards; and partner with product, engineering, design, marketing, and country teams to turn insights into roadmap actions.

Build and operate the backend financial core for a stablecoin and digital-assets wallet. Responsibilities include developing an event-sourced double-entry ledger, posting and transaction-processing flows, reconciliation controls, audit trails, financial projections, and operational repair workflows. The role requires strong database and distributed-systems expertise, including idempotency, event ordering, concurrency control, schema evolution, recovery, and production support. The engineer will collaborate with finance, treasury, risk, compliance, operations, and engineering teams.

Owns CI/CD pipelines and infrastructure-as-code for a Databricks-based Data as a Product platform on AWS. Responsibilities include automating deployments, managing environments with Terraform and GitOps, provisioning AWS resources, integrating Datadog and AI tooling, implementing monitoring and alerting, tracking DORA metrics, and improving platform reliability and developer experience. The role partners closely with data engineering and platform teams to create self-service, code-first workflows.

Analyzes credit, bureau, transactional, and repayment data to identify risk drivers and improve lending decisions. Builds credit risk features and predictive model inputs, supports policy experimentation, monitors model and feature performance, and conducts portfolio analytics such as vintage, roll-rate, collections, and loss-driver analysis. Collaborates with engineering and data teams on quality, lineage, reproducible pipelines, governance, and production-ready documentation.

Lead and grow engineering teams responsible for authentication and authorization architecture. Own product lifecycles from design through deployment and optimization, shape technical roadmaps, guide scalable and secure architecture, review technical proposals, and remain initially 40–50% hands-on. Drive cross-functional collaboration, delivery of complex initiatives, process improvement, mentoring, and organizational scaling in a high-growth environment.

Design, develop, test, deploy, monitor, and improve scalable backend services for a digital banking platform. Responsibilities include solving complex technical problems, designing distributed systems, documenting requirements, collaborating in Agile and DevOps teams, and owning features throughout their lifecycle. The role emphasizes high availability, low latency, database design, microservices, event-driven architecture, and cloud deployment.

Designs, develops, tests, deploys, and monitors Databricks data pipelines on AWS using PySpark and SQL. Builds scalable data solutions, quality dashboards, lineage and monitoring tools, supports legacy-system migrations, and enforces data security, retention, privacy, governance, and development best practices.

Analyze data from multiple sources, build reliable datasets and reports, validate data quality, and apply statistical techniques to identify trends. Partner with stakeholders across marketing, operations, finance, and product to deliver actionable insights. Create dashboards, KPI tracking tools, and experiments; communicate findings to technical and non-technical audiences. Promote data literacy, document best practices, and support company-wide analytics initiatives.

Design scalable mobile product experiences and UX strategies across user journeys, flows, wireframes, prototypes, and final product execution. Collaborate with multinational stakeholders, apply best-practice Android and iOS UX methods, advocate for effective AI use in design processes, and communicate and defend design visions while adapting to stronger alternatives.

Design, develop, test, deploy, monitor, and improve Java backend microservices for a scalable, highly available digital banking platform. Work in Agile/Scrum and DevOps models, own features end-to-end, solve technical and business problems, and ensure quality via testing and automation.

Develops, maintains, and executes automated tests for web, mobile, API, serverless, and microservice applications. Performs functional, regression, smoke, exploratory, performance, and non-functional testing; creates test strategies, plans, and cases; and supports Agile delivery and release quality. Collaborates with project teams to analyze requirements, communicate risks and defects, conduct root-cause analysis, and improve product quality.

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, 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.