Data Engineer

Head of Engineering

Da Nang - Viet Nam

Product

Own and communicate the engineering strategy, target architecture, technical roadmap and priorities, aligned with product goals, customer outcomes and regulatory obligations. Take end-to-end accountability for discovery, estimation, architecture, development, testing, release, production support, incident response and continual improvement. Build the Company engineering organisation: define team structure and roles; participate in structured hiring; onboard, coach and retain strong engineers; and create clear expectations and development paths. Lead internal engineers and manage external engineering delivery partners against agreed outcomes, quality standards, security requirements, service levels, knowledge-transfer plans and delivery commitments. Maintain sufficient technical depth to challenge designs, lead architecture and code reviews, resolve complex delivery or production issues and make sound build-versus-buy decisions. Establish and enforce engineering standards for secure software development, code quality, automated testing, CI/CD, release management, documentation, dependency management and technical-debt reduction. Own production reliability and operational readiness, including observability, capacity, availability, performance, backup and recovery, incident management and root-cause remediation. Embed security and privacy by design, including least privilege, tenant isolation, encryption, auditability, secrets management, vulnerability remediation and data minimisation. Protect financial-data integrity through transactional consistency, accurate calculations, reconciliation controls, immutable audit trails and appropriate segregation of duties. Partner with Product, Operations, Compliance and business leaders in the UK and Vietnam to shape requirements, manage trade-offs, communicate risk and provide transparent delivery forecasts. Define measurable engineering objectives covering delivery predictability, change quality, reliability, security, cost, team health and customer impact. Own responsible AI adoption across coding, testing, documentation, knowledge management, operational analysis and automation. Run controlled experiments and measure quality, productivity, security and cost outcomes. Evaluate AI-enabled product opportunities with approved data handling, human oversight, testing, monitoring and safe fallback paths before production use. Manage engineering suppliers and technology vendors with clear ownership, access boundaries, performance reviews, security requirements, continuity planning and transition readiness. Contribute to budgeting, forecasting and prioritisation, ensuring engineering expenditure and cloud usage produce measurable business value.

Negotiation

Salesforce Engineer (IC2)

Ho Chi Minh - Viet Nam

Outsource

• Salesforce

#Salesforce Engineering (Quote-to-Cash) Build and maintain Salesforce processes from Quote through to Cash Work full-stack on the platform: declarative (data model, Flows, validation, security model) and programmatic (Apex, Lightning Web Components) Implement changes safely on a production system used by Go-to-Market every day#Integrations & System Interfaces Maintain and further develop the integrations between Salesforce and internal/external systems (customer portal, HubSpot, license management, billing/ERP, and others) Design and operate integrations using Salesforce REST/SOAP APIs and standard integration patterns Own the health of these interfaces: monitoring, error handling, and data consistency#Collaboration with Go-to-Market / RevOps Partner with RevOps and GTM to translate business needs into robust technical implementations Challenge requirements where they create risk or technical debt Coordinate handoffs at the Lead-to-Quote / Quote-to-Cash boundary#Reliability, Security & Change Safety Protect a revenue-critical system: change control, testing, backup/rollback awareness Apply JTL security and compliance standards to Salesforce work#Optional / stretch With spare capacity, support tech-heavy Lead-to-Quote topics in Salesforce (optional; primary ownership of Lead-to-Quote stays with RevOps)

Negotiation

Senior Bioinformatics Engineer

Ho Chi Minh - Viet Nam

Product

• Data Science

Serve as the primary bioinformatics subject matter expert for engineering teams developing cloud-native bioinformatics software. Collaborate with software architects to translate scientific workflows into scalable distributed computing architectures. Help engineers understand the computational characteristics, assumptions, and limitations of existing bioinformatics tools. Validate that modernized applications preserve scientific correctness and produce reproducible results. Define biological data models, metadata standards, controlled vocabularies, and best practices for data harmonization. Guide engineering teams in designing scalable approaches for processing large genomic and multi-omics datasets. Evaluate open-source bioinformatics software (e.g. PLINK, Regenie, BCFtools, GATK, Nextflow workflows, etc.) and identify opportunities for cloud-native modernization. Work with distributed computing specialists to determine how algorithms can be parallelized using Spark and other large-scale execution frameworks. Develop validation datasets, benchmarking methodologies, and acceptance criteria for transformed applications. Review engineering designs to ensure biological accuracy and scientific integrity. Collaborate with AI engineering teams on using AI-assisted software transformation while ensuring scientific correctness. Stay current with advances in bioinformatics, computational biology, distributed computing, and cloud-based scientific software.

Negotiation