Drive high data integrity by establishing robust validation rules, governance standards, and automated system checks
Perform deep‑dive analysis on large and complex datasets to uncover customer insights, behavioral trends, and strategic business opportunities
Create compelling dashboards and data visualizations that translate complex findings into clear, actionable insights for both technical and non‑technical stakeholders
Develop advanced SQL queries, scalable data models, and end‑to‑end analytics solutions that directly support evolving business needs
Design, streamline, and optimize reporting frameworks, automated processes, and analytical workflows to enhance efficiency and decision‑making
Support the initiative by conducting literature reviews, managing data, recruiting participants, scheduling and conducting interviews and surveys, and translating documents between Vietnamese and English.
Compensation
Competitive remuneration VND package for Vietnamese candidates.
Responsibilities
Conduct fieldwork and research activities under the supervision of the Line Manager
Conduct, record, and transcribe interviews in English or Vietnamese, including translation when necessary
Assist with the design of data collection tools, scientific tests, and interview protocols
Ensure that data collection, storage, and preliminary analysis follow required research protocols and ethical standards
Carry out qualitative and quantitative data analysis using appropriate tools and methods
Requirements
Postgraduate degree (Master’s) in Natural Science, Social Science, Economics, Business, or a related Engineering field
Senior Python Engineer responsible for designing, building, and scaling backend systems that power AI across the platform.
Locations (2)
Hanoi, Hanoi, Vietnam
Ho Chi Minh City, Ho Chi Minh City (HCMC), Vietnam
Responsibilities
Design, implement, and maintain robust Python/FastAPI microservices and backend systems that integrate LLMs and generative AI capabilities directly into live workflows.
Build automated pipelines and tooling to continuously measure, evaluate, and improve LLM output accuracy, consistency, latency, and safety.
Develop internal libraries, abstractions, and standardized patterns that empower engineering squads to ship AI features quickly and reliably.
Optimize AI services and inference pipelines for throughput, latency, token economics, caching, and high availability.
Partner with the CTO and technical leads to evaluate emerging AI technologies, architect retrieval-augmented generation (RAG) pipelines, and design vector search infrastructure.
The Centric PXM Technical Consultant is the technical delivery authority for Centric PXM in APAC. The role ensures that every Centric PXM implementation – whether delivered directly by Centric, by certified SI/reseller partners, or with subcontracted resources – goes live on time, to Centric quality standards, and becomes a referenceable customer. The role bridges Sales, Partners, Subcontractors, and Customers: shaping what is sold, governing how it is built, and owning what is delivered.
Responsibilities
Act as Project Manager and technical lead for Centric PXM projects contracted directly with customers
Serve as Centric’s technical authority for SI and reseller partners in APAC
Plan, assign, and supervise subcontracted consultants and developers
Own the quality management framework for Centric PXM projects in APAC
Support Sales with discovery workshops, solution architecture, demonstrations and proofs of concept
Requirements
Bachelor’s or Master’s degree, preferably in Computer Science, MIS, Engineering, or similar
Own the AWS infrastructure for all platform environments (dev, staging, production and DR) through Terraform, with every change going through PR review and a pipeline plan.
Locations (2)
Danang, Vietnam
Hanoi, Hanoi, Vietnam
Responsibilities
Operate and upgrade the EKS clusters
Maintain the Bitbucket Pipelines and Helm GitOps flow
Run and test the disaster recovery setup
Keep the security baseline green
Run observability and alerting with Prometheus, Grafana, Loki and CloudWatch
Strategize growth pillars for Food Enterprise commercial plans and analyze lever efficiency to guide investment allocation and ensure OKR deliverables
Blend data-informed hypothesis and merchant/ industry on-ground understanding to drive cross-functional investment focus and ensure efficiency against planning
Coordinate with relevant teams to execute the commercial campaign calendar and establish best practices that drive merchant growth
Identify opportunities, pitch, and close high-value commercial deals; design creative co-investment and promotional models that maximize win-win P&L gains
Build and maintain infrastructure for OPSWAT’s MetaDefender Cloud platform, ensuring fast, secure, and highly available operations across multiple AWS regions.
Responsibilities
Build and maintain Infrastructure as Code with Terraform, Kubernetes manifests with Kustomize and Helm, delivered through GitOps (Argo CD) across multiple AWS regions
Operate and improve CI/CD pipelines in GitHub Actions
Support development teams in deploying and running containerized microservices on Amazon EKS
Monitor system health, performance and cost; troubleshoot and respond to production incidents
Automate routine operational tasks such as scaling, patching, backups and new-region setup
Requirements
Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
You will build and scale the data and AI backend behind our creator intelligence. That means scraping social platforms at scale, storing and querying large volumes of creator data, and building the AI pipelines that evaluate, classify and match creators to brand briefs.
Compensation
USD 850 – 1,250 per month, full-time, fully remote.
Responsibilities
Build backend services and REST APIs with Python, Django and Django REST Framework
Build and maintain scraping systems for social platforms: scheduling, queues, proxies, rate limits and retries
Design data pipelines and schemas in ClickHouse and MySQL, and optimize queries on large datasets
Run and scale infrastructure on AWS, with monitoring and cost in mind
Integrate LLM APIs (OpenAI, Claude, Gemini) for classification, labeling and evaluation of creator data