Tyme

Engineering Manager

• Own Velocity Metrics End-to-End
• Define, instrument, and drive metrics across all 56+ PODs.
• Build real-time dashboards showing flow efficiency, bottlenecks, and trends
• Establish speed as a first-class KPI
• Report directly to Group COO on velocity improvements and blockers
• Eliminate Deployment Pipeline Waste
• Reduce the wait time by automating manual confirmations, approvals, and handoffs
• Design and implement progressive rollout strategies with automated rollback
• Build automated testing frameworks that eliminate hours of manual test confirmation
• Work with Control functions to shift left into the pipeline
• Architect for Flow Across 56+ PODs
• Understand dependencies across PODs
• Identify and eliminate coordination bottlenecks between PODs
• Design self-service platform capabilities to reduce dependency on PODs
• Transform CAB approval process from manual gate to automated guardrails
• Establish risk-based deployment strategies (not all changes need same approval rigor)
• Enable Platform Teams for Maximum Impact
• Partner with Pipeline & DevEx POD to build world-class deployment automation
• Work with Testing Automation POD to create comprehensive, fast, reliable test suites
• Collaborate with Platform & Cloud POD on infrastructure-as-code and ephemeral environments
• Guide Incident Management POD toward predictive alerting and auto-remediation
• Ensure platform investments directly reduce deployment lead time
• Prepare for AI Agent Deployment at Scale
• Recognize that AI agents are software workers requiring rapid iteration
• Design deployment pipelines that support rapid deployment frequency
• Ensure infrastructure can handle multiple deployments per day across all PODs
• Build observability and rollback capabilities for AI agent updates

Head of Engineering, Velocity & Flow

Scrum Master

• Responsible for building a new scrum team for the delivery of one of our new fintech products.
• Setting the pace for delivery and being proactive in planning and forecasting upcoming deliverables.
• Demonstrate pragmatism in approach and appropriately influence the delivery approach.
• Foster an open, honest and transparent relationship with key stakeholders.
• Responsible for continuous delivery and management of technical debt.
• Previous experience leading small teams while still being hands-on.
• Involve in technical designs, and writing tests to ensure the high-quality delivery of the product.

Technical Scrum Master

Backend Engineer

• Develop shared services that are flexible and configurable to support multiple lending products across different geographies.
• Maximise users of the platform’s velocity of development while balancing stability
• Ensuring cost efficiency and scalability for our continuous global expansion

Product Engineer, Back-end – Credit & Lending

AI Engineer

• Own and Evolve the Semantic Architecture for the Bank.
• Design, maintain, and govern AI ready semantic architecture and underlying technical framework.
• Working with domain experts and architects, establish naming conventions, ontologies, and data modeling rules & taxonomies.
• Build and maintain a canonical model that enables dynamic reconstruction of entire customer journeys across our products and channels.
• Define the domain event ontology and event schemas ensuring consistent semantics across all transactional, behavioral, and system events.
• Determine a robust metadata architecture and framework and ensure seamless integration with our foundation data platform Databricks.
• Define and manage the semantic runtime, ensuring semantic definitions are performant, executable, testable, queryable, and consistently applied across ETL, feature pipelines, LLM retrieval workflows, MCP Server and real-time APIs.
• Design the semantic graph (entities, relationships, hierarchies, business rules) that forms the backbone for reasoning, AI retrieval, event linking, and customer journey reconstruction & ultimately AI taking actions.
• Develop a framework to embed semantics capture through data product development in a frictionless and consistent manner.
• Develop intelligent AI assisted solutions to ensure semantic consistency with Data Product or Domain SME in the loop.
• Develop solutions to detect and remediate semantic drift.
• Own the product roadmap for semantic tooling & frameworks - such as semantic catalog, semantic contract validator, lineage resolver, semantic drift detector, and ontology editing/visualisation tools, canonical model builder.
• Define the Semantic and Data Architecture for “Shared” Data Products such as Master Data, Reference Data, Feature Store, Regulatory Data Products, Core Product data such as User, Session, Channel.
• Ensure interoperable, distributed ownership aligned with Data Mesh principles wherever practical.
• Design semantics layer to power Classic and Modern AI (LLM) large scale workloads and usecases.
• Define semantic grounding strategies for LLMs, enabling hybrid retrieval (SQL + vector + ontology), context resolution, and reliable semantic augmentation for AI Agents.
• Develop semantics layer that powers reliable and trust worthy conversational analytics e.g. AI Genie in Databricks or custom AI Conversational Data Agents.
• Enable frameworks to ensure efficient and effective semantic consumption as part of Context Engineering and Machine learning.
• Coach DPOs, Stewards, Architects, and Engineers on semantic best practices.
• Define templates, frameworks, and accelerators to platform teams for automation.
• Drive reusable semantic building blocks across product teams.
• Collaborate with Platform, Governance, and Engineering teams to turn your ideas into reality.
• Ensure semantics integrate with Databricks, Unity Catalog, DLT, dbt, and AI tools.
• Align semantic models with quality, security, lineage, and access policies.

Semantics Architect – Data & AI Platform

• Drive the efficient delivery of change through analysis, definition, and documentation of requirements, while identifying potential solutions using agile delivery frameworks.
• Solve complex technical and business problems and learn new technologies and frameworks.
• Be part of a team that takes full responsibility for the features you own.
• Design, develop, test, deploy, monitor, and improve – you are responsible for the full lifecycle of your product.

Backend Engineer – Java/Python, AWS

Platform Engineer

• Architect and implement end-to-end data and ML platforms: data lakes, warehouses, streaming and batch pipelines, model training/deployment infrastructure, on AWS + Databricks.
• Lead DevSecOps and DataOps practices: infrastructure as code (IaC), CI/CD pipelines for data & ML workflows, secure multi-account/multi-region cloud operations.
• Integrate AWS services (e.g., S3, Redshift, Kinesis, Lambda, EKS/ECS) with Databricks runtime, Delta Lake, Unity Catalog etc to build scalable, performant pipelines.
• Build and operate ML infrastructure: training clusters, model versioning, MLOps toolchain (e.g., MLflow), model monitoring and observability, automatic retraining workflows.
• Establish data governance, lineage, quality, observability standards across data pipelines and ML workflows.
• Mentor engineering teams, define architectural best practices and guide implementation of high-scale data/ML systems.
• Optimize system performance, cost and scalability; diagnose and resolve large-scale production issues.
• Continuously evaluate new tools and technologies in the areas of cloud, data platform, DevSecOps, ML infrastructure and apply them to drive innovation.

Senior/Lead Platform Engineer – Databricks

Solutions Engineer

• Serve as a trusted advisor to stakeholders: understand their business goals, data challenges, ML/AI ambitions, and define technical strategies accordingly.
• Architect end-to-end data & ML solutions on Databricks + AWS: from ingestion, storage, processing, feature engineering, to model training, serving, monitoring and operations.
• Present and demonstrate solution architectures, proof-of-concepts, and reference implementations to technical & non-technical stakeholders.
• Define and evolve the architecture for our unified data & ML platform: integrating Databricks and AWS services for compute, storage, orchestration, governance and security.
• Lead hands-on implementation of platform components: infrastructure provisioning (IaC), DevSecOps pipelines, DataOps workflows, ML pipelines and operationalization.
• Collaborate with internal teams to deliver robust, scalable, secure ML/AI platforms that support multiple markets/environments.
• Work directly with engineering/data science teams to implement solutions, troubleshoot issues, tune performance and optimize cost.
• Provide best-practice guidance, documentation, and enablement to stakeholders and internal peer teams (engineering, data science, ops).
• Monitor solution adoption, drive continuous improvement, and act as the voice of the business stakeholders to internal product/engineering teams.
• Stay ahead of emerging technologies in Databricks, AWS, ML/AI — and translate them into new solution patterns and accelerator frameworks Promote reusable reference architectures, automation templates, observability frameworks and governance guardrails that enable scale and repeatability.

Senior Solutions Architect – Data & AI Platforms, Databrick

• - Primary job is to do integration work using Java/Python/Golang, REST, SOAP APIs and Identity service.
• - Solving complex technical and business problems and learn new technology and frameworks
• - Be part of a team that will take full responsibility for the features you own
• - Design, develop, test, deploy, monitor and improve, you are responsible for the full life-cycle of your product – build it, own it

API Integration Engineer – Java, Python, Golang

DevOps Engineer

• Contribute to developing continuous delivery, automation, and building pipelines to create an excellent experience for developers and customers.
• Identify and develop opportunities to improve our processes and tools for automation.
• Learn new skills and help foster a continuous delivery and cloud-first mindset.
• Manage your day-to-day workload and requests using agile practices as part of a team and community.
• Periodic after-hours on-call support is required with over-time.
• Ability to travel occasionally (up to 10% of the year).

Senior DevOps Engineer, Cloud, AWS

iOS Engineer

• Provide hands-on technical leadership and development in mobile solution development – you will get your hands dirty.
• Provide a leading voice in the evolving mobile architecture framework and road-map covering languages, tooling, patterns and delivery processes.
• Enhance our talent pool ensuring that our team’s skills and practices are leading edge and aligned to technology strategy.
• Provide technical guidance through the complete Solution Development Life Cycle.
• Developing solution architectures aligned with enterprise-wide standards to ensure successful implementation of technology solutions.
• Lead the technical design process coordinating various stakeholders; develop and document solution architectures for projects aligned to bank’s standards and policies.
• Custodian of design and engineering best practices; and technical app road-maps.

iOS Developer, Swift

Android Engineer

Android Engineer – Kotlin

User Researcher

• Assist in planning and conducting user research activities such as but not limited to user interviews, usability tests, and surveys. Responsibilities will include participant recruitment, scheduling, preparation of research materials, and moderation.
• Help create and maintain research documentation, such as participant consent forms, session guides, note-taking templates, and reports.
• Assist in the uploading of reports, uploading of user sessions, tagging studies, organizing projects, and monitoring usage of the TymeX research library.
• Assist in TymeX’s internal research academies by scheduling class dates, preparing class materials and merchandise, and monitoring class progress.
• Observe and learn from experienced researchers, shadowing them during research activities, and participating in team discussions.

UX Research Intern

Human Resources

• Support onboarding and offboarding (prepare documents, collect employee information).
• Help update and maintain employee records in the HR system (HiBob).
• Assist with attendance, leave, and overtime data for payroll preparation.
• Prepare simple HR reports and support data entry/clean-up.
• Help organize HR events and activities (health check-up, company trip, team events).
• Provide general admin support to the HR team.

HR Intern

• Part of the Digital Delivery Hub responsible for designing, developing and maintaining digital apps within the financial services space.
• Contribute to development and execution of an innovative mobile banking solution in Asia, including in-country and cross-border solutions across customer experience, product development, and process engineering.
• Technically lead and coach engineers in cross-functional delivery teams to design and build best-of-breed mobile solutions and support ongoing products.
• Provide hands-on technical leadership and development in mobile solution development.
• Provide a leading voice in the evolving mobile architecture framework and road-map covering languages, tooling, patterns and delivery processes.
• Enhance the talent pool ensuring team skills and practices are leading edge and aligned to technology strategy.
• Provide technical guidance through the complete Solution Development Life Cycle.
• Develop solution architectures aligned with enterprise-wide standards to ensure successful implementation of technology solutions.
• Lead the technical design process coordinating stakeholders; develop and document solution architectures aligned to bank’s standards and policies.
• Act as custodian of design and engineering best practices and technical app road-maps.

Android Engineer, Kotlin

• Lead and manage a growing team responsible for the employee lifecycle (onboarding, career changes and offboarding)
• Review employee profiles, perform profile filling, and collect missing documents to ensure due diligence compliance
• Administer registration or termination of benefits in kind (such as private insurance) for new hires and leavers
• Provide high-quality support and ensure smooth management of payroll for local and expatriate staff
• Process monthly payroll-related changes (joiner, leaver, promotion, adjustments) and consolidate attendance records impacting payouts
• Consolidate payroll changes to vendor and provide non-payroll benefits information (e.g., allowance in kind)
• Review payroll and Personal Income Tax reports from vendor and request adjustments/corrections
• Prepare salary payments for the Bank and cost allocation to Finance Team
• Support monthly PIT declaration and filing for Local and Expatriate Secondees and annual PIT finalization
• Distribute annual incoming summary form to staff for tax filing
• Manage Social, Health & Unemployment Insurance (SHUI) reporting, claims (sick/maternity), reconciliations, and social insurance claim processes
• Maintain employee data accuracy in HRIS (e.g., HiBob) and manage organizational structure, reporting lines, approval matrices, and cost centers
• Support HR process automation (onboarding, offboarding, performance reviews, leave, overtime requests)
• Understand and implement Employee Handbook, Internal Regulations, and Code of Conduct
• Develop and implement new HR practices, programs and policies to meet organisational needs
• Update HR Team on new regulations, articles and decrees relating to HR matters/Labor Code
• Assist Legal/HR Head to review and launch Internal Regulation, Disciplinary, Employee Handbook
• Maintain HR process documentation and produce artifacts for HR audits
• Liaise with HRBP and hiring managers to support recruitment campaigns, issuing offers, processing contracts, and eligibility to work checks
• Responsible for employees’ due diligence checks to comply with Group policy and provide counseling on internal policies
• Coordinate annual health check-up program and obtain quotations from providers
• Prepare reports for government and internal HR reports (CEO report, Payroll report, Diversity reports, cost center, payroll report, budget planning, employee cost accrual)
• Partner with Engagement team on benefits and engagement programs and handle expatriates’ visa/work permit relocation to Vietnam
• Perform cross-team responsibilities and assist Head on other tasks as required

HR Officer

Product Manager

• Own and define the product vision, roadmap, and strategy for Loyalty & Rewards.
• Design and build experiences that use gamification, incentives, and behavioural insights to drive engagement, retention, and satisfaction.
• Collaborate across Business, Design, Engineering, and Data teams to take ideas from concept through to launch and iteration.
• Manage and prioritise product backlogs, lead sprints, and ensure continuous delivery of high-impact features.
• Use qualitative and quantitative data to measure product success and inform decisions.
• Engage with customers and stakeholders to ensure loyalty mechanics are relevant, localised, and differentiated.

Product Owner, Loyalty & Rewards

SDET

• Evolve to build or enhance Automation test frameworks and testing artifacts.
• Using automation framework to cover testing for Products in each release, and drive up the good quality products.
• Work closely with everyone on Product teams. Be involved in Agile activities such as iteration planning, requirements analysis, deployment process, etc.
• Gather and understand new testing requirements.
• Involve in the Testing Practice – Early testing, Shift-left testing.
• Have opportunities to learn and practice the Performance Test with trending tools.

Head of Engineering, Velocity & Flow

Technical Scrum Master

Product Engineer, Back-end – Credit & Lending

Semantics Architect – Data & AI Platform

Backend Engineer – Java/Python, AWS

Backend Engineer – Java/Python, AWS

Senior/Lead Platform Engineer – Databricks

Senior Solutions Architect – Data & AI Platforms, Databrick

API Integration Engineer – Java, Python, Golang

Senior DevOps Engineer, Cloud, AWS

iOS Developer, Swift

Android Engineer – Kotlin

UX Research Intern

HR Intern

Android Engineer, Kotlin

HR Officer

Product Owner, Loyalty & Rewards

QA Automation Engineer