Test Engineer Jobs in Indonesia.
All active Test Engineer roles based in Indonesia.
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About The Role
We are looking for a passionate Mid-Level Backend Engineer to join our team. The ideal candidate will have a strong foundation in back-end technologies, along with the ability to contribute to each phase of the software development lifecycle.
What You Will Do
- Design, develop, test, and maintain features and functionalities for our web application/platform.
- Collaborate with cross-functional teams (Design, Product, QA) to define, design, and deliver new features and enhancements.
- Troubleshoot, identify, and resolve performance and scalability issues.
- Implement and ensure the best security practices are maintained.
- Ensure code quality through writing unit tests, automation, and conducting code reviews.
- Participate in brainstorming and ideation sessions to help evolve the product roadmap.
- Mentor junior developers, providing guidance, and feedback to help them grow.
- Stay current with the latest trends and technologies in full stack development.
What We Are Looking For
- Bachelor's degree in Computer Science, Engineering, or a related field.
- At least 3 years of professional experience in full stack development.
- Solid experience with back-end development using Golang.
- Familiarity with databases, specifically MariaDB.
- Experience with version control systems, preferably Git.
- Familiarity with modern build and deployment tools like Docker, and CI/CD pipelines.
- Excellent problem-solving skills and a passion for technical challenges.
- Strong verbal and written communication skills.
Ready to apply?
Apply to StraitsX
Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.
With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.
What you will be doing?
We are looking for a Senior AI Engineer / Technical Consultant to bridge the gap between high-level strategy and technical execution. You will act as a "builder first, consultant second," designing and deploying AI/ML solutions that solve complex business problems for global clients. This role involves end-to-end technical leadership, from initial rapid prototyping (PoCs) to scaling production-ready systems.
Key Responsibilities
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Solution Engineering: Design, implement, and deploy pragmatic AI solutions (ML, LLMs, Generative AI) tailored to specific client business needs.
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Technical Consulting: Act as a technical advisor to client stakeholders, translating business requirements into scalable technical architectures and guiding them on AI best practices.
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Prototyping & Production: Build and test Proof of Concepts (PoCs) and transition them into production-ready environments, ensuring security, performance, and maintainability.
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Architecture & Infrastructure: Design robust AI infrastructure using cloud-native services (AWS, Azure, or GCP) and modern data pipelines.
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Collaboration: Work within cross-functional teams (Data Scientists, Project Managers, and Strategy Consultants) to ensure the technical feasibility of AI initiatives.
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Mentorship: Lead project workstreams and mentor junior engineers on technical best practices, MLOps, and coding standards.
Technical Requirements
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Experience: 5+ years in Software Engineering, Data Science, or AI/ML development.
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Core Programming: Mastery of Python and SQL; familiarity with other languages (Java, C++, or Node.js) is a plus.
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AI/ML Frameworks: Deep experience with TensorFlow, PyTorch, or HuggingFace.
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Generative AI: Hands-on experience with LLMs, prompt engineering, fine-tuning, and vector embeddings.
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Cloud Platforms: Proven experience deploying AI solutions on AWS, GCP, or Azure.
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Tools & DevOps: Proficiency with Git, Docker, Kubernetes, and MLOps principles (CI/CD for machine learning).
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Data Engineering: Ability to build and manage ETL/ELT pipelines and work with various database schemas (SQL, NoSQL, Graph).
Qualifications & Soft Skills
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Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related STEM field.
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Communication: Fluency in English and the local regional language (German or French). Ability to explain complex technical concepts to non-technical business leaders.
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Mindset: A "builder’s mindset" with the agility to work in a fast-paced, client-facing consulting environment.
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Consulting Experience: Prior experience in a professional services or consulting firm is highly preferred.
What to Expect
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Impactful work on global accounts (e.g., Warner Bros, Orange, L'Oréal).
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A collaborative "scale-up" environment with a heavy focus on continuous learning and a dedicated training budget.
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Opportunity to lead high-visibility projects within the first year.
Ready to apply?
Apply to Artefact