Platform Architecture & Engineering (AI & OSS)

Are you ready to get ahead in your career?

• We want to empower you to turn your ambitions into achievements.
• We thrive in inclusiveness, diversity and embrace close collaborations for you to create impact for yourself and others.
• Together, we aim to bring the best of technology to help people, businesses and the nation to be ahead in a changing world.
• To realise our vision to become Malaysia’s leading converged solutions company, we are looking for a new talent to innovate and grow with us in a culture that values commitment, performance and possibilities.

Why does this job exist and why is it critical?​

We are seeking a highly skilled and versatile AI & Digital Platform Engineer to join our dynamic technology team. In this role, you will be at the forefront of developing cutting-edge agentic AI solutions , engineering robust full-stack microservices and ensuring secure application deployments across our digital platforms. The ideal candidate is a proactive problem-solver with deep expertise in applied machine learning , modern web development, Linux environments and secure architecture, coupled with a strong willingness to engage in cloud infrastructure and project management.

What are you accountable for?

• Architect and deploy sophisticated agentic AI solutions using Google BigQuery , Agent Development Kits and modern LLM frameworks . Build and manage vector databases and knowledge graphs to power context-aware AI agents.
• Develop and implement machine learning models for anomaly detection and predictive analytics. Leverage managed cloud AI services (e.g., AWS/GCP APIs) and in-database tools like BigQuery ML to deliver practical, scalable insights without the need for heavy MLOps infrastructure.
• Lead the development of highly responsive user interfaces using React —including the integration of location-based services and geospatial data. Engineer robust, high-performance back-end microservices using Java (Spring Boot) . Design and implement secure RESTful APIs or GraphQL for seamless system integration.
• Architect and optimise data storage solutions using a combination of relational, cloud-native and graph databases . Manage and scale platforms including Oracle, MySQL, Google BigQuery and graph database technologies (e.g., Neo4j, Amazon Neptune) to support complex data relationships and knowledge graphs.
• Configure and maintain Linux environments. Collaborate with IT security teams by understanding implemented firewall rules and defining application firewall requirements. Manage application traffic securely with a strong understanding of load balancers and proxy servers .
• Champion high standards of code quality and version control using GitHub , enforcing secure coding practices and participating in peer code reviews.
• Work closely with stakeholders to understand business requirements and assist in provisioning cloud infrastructure ( AWS, GCP, or Azure ) to host applications securely.

What do you need to have for this role?

• Strong proficiency in Python . Hands-on experience with leading enterprise AI ecosystems, specifically Google Gemini AI and AWS AI/ML platforms (e.g., Amazon Bedrock). Experience with LLM frameworks (e.g., LangChain, LlamaIndex), building vector databases/knowledge graphs and practical experience integrating managed ML services or using in-database ML (e.g., BigQuery ML).
• Deep expertise in full-stack development using Java (Spring Boot preferred) and React . Proven experience in building applications and integrating location-based services using the Google Maps Platform (e.g., Maps JavaScript API, Geocoding, Routing). Strong understanding of microservices architecture and API design.
• Extensive experience with SQL, NoSQL and graph databases. Proficiency with Oracle, MySQL, Google BigQuery and familiarity with graph technologies (e.g., Neo4j).
• Strong proficiency in Linux administration . Solid understanding of corporate firewall requirements, load balancing architectures , proxy servers and general network security protocols.
• Solid understanding of application security (e.g., OWASP Top 10) and experience implementing identity and access management protocols such as OAuth 2.0, OpenID Connect and JWT.

Preferred Qualifications

• Experience with general cloud infrastructure on AWS, GCP, or Azure. Familiarity with containerisation ( Docker, Kubernetes ), Infrastructure as Code (e.g., Terraform) and building CI/CD pipelines (e.g., GitHub Actions).
• Ability to elicit business requirements, define project scopes and apply Agile/Scrum methodologies to drive technical initiatives.
• Solid understanding of telecommunication networks, including mobile (4G/5G) and fibre optic technologies.
• A strong grasp of core networking principles (TCP/IP, routing, switching, DNS) and cloud networking architectures.
• Familiarity with telecommunications or enterprise OSS, including network management, fault monitoring, performance management and service provisioning.

Personal Attributes

• Excellent analytical and problem-solving skills.
• Strong communication skills , capable of translating complex technical concepts to non-technical stakeholders.
• A collaborative team player who fully embraces Agile Ways of Working (WoW) to deliver iterative, high-quality results.
• A continuous learner who stays updated with the latest advancements in AI, software engineering and infrastructure security.

What’s next?

• Once you’ve applied online, our team will carefully review your application. Due to a high volume of applications, we appreciate your patience to allow for a fair and timely review process.
• Should you be shortlisted for the role, we will send you an invitation via email for a digital interview. You can also check on your application status by logging into your candidate account.

Maxis values diverse voices & people. We hire and reward our employees based on capability & performance — regardless of ethnicity, gender, age, education, religion, nationality or physical ability.