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Forward Deployed Engineer

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Onsite

Forward Deployed Engineer

dJAVA Factory Sdn Bhd

Forward Deployed Engineer

Skills

Google Cloud PlatformSQL QueriesNextDockerReactNodePythonGolangJavaMicroservicesSpring BootPostgreSQLMySQLMachine LearningAIAWSKubernetesAzure

6 days ago

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Important information


Contract type:

Permanent

Salary:

MYR 48,000 – MYR 72,000 / year

Location:

Petaling Jaya, Selangor, Malaysia

Work mode:

Onsite

Published on:

14 October 2026

What they need


Forward Deployed Engineer (FDE) at DJava Factory: summary

The role in one line: You’d be a client-facing full-stack and cloud engineer who takes a business problem through every stage: Understand → Design → Build → Deploy → Support.

What you’ll do

  • Work directly with clients to gather requirements and turn them into scalable technical solutions
  • Build full-stack apps end to end: frontend, backend, APIs, microservices, databases and integrations
  • Deploy and run systems in the cloud, including CI/CD, monitoring, logging and infrastructure
  • Fix production issues and keep solutions secure, reliable and production-ready
  • Run workshops and demos, and write documentation (architecture, deployment and support guides)
  • Act as the link between clients and DJava’s product, engineering and DevOps teams
  • Try out and roll out AI, automation and cloud innovations

Core tech stack

  • Frontend: JS/TS, React, Next.js or Vue, HTML/CSS
  • Backend: Java/Spring Boot, Node.js, Python or Go; REST, microservices, auth
  • Data: PostgreSQL, MySQL, SQL Server, NoSQL; data modelling
  • Cloud/DevOps: AWS, Azure or GCP, plus Docker, Kubernetes, Git and CI/CD
  • AI (strong plus): LLM APIs (OpenAI, Anthropic, Gemini), agents, RAG, vector databases

Must-haves

  • Degree in CS, IT or a related field, plus 2+ years in software engineering
  • Strong full-stack skills and hands-on experience deploying to the cloud
  • Comfortable working with clients, with strong English communication
  • Works independently and owns deliverables
  • Willing to travel or work onsite at client locations

Nice-to-haves: Consulting or solutions engineering background, enterprise systems integration, solution architecture, Agile/Scrum, and AI/ML experience.

Success is measured by: projects delivered on time, solution quality and scalability, client satisfaction and adoption, how well issues get resolved, and contributions to reusable frameworks and best practices.

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