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 versatileAI & Digital Platform Engineer to join our dynamic technology team. In this role, you will be at the forefront of developing cutting-edgeagentic AI solutions, engineering robust full-stack microservicesandensuring secure application deployments across our digital platforms. The ideal candidate is a proactive problem-solver with deep expertise inapplied machine learning, modern web development, Linux environmentsandsecure 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 usingGoogle BigQuery, Agent Development Kitsandmodern 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 likeBigQuery ML to deliver practical, scalable insights without the need for heavy MLOps infrastructure.

• Lead the development of highly responsive user interfaces usingReact -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-nativeandgraph databases. Manage and scale platforms including Oracle, MySQL, Google BigQuery andgraph database technologies (e.g., Neo4j, Amazon Neptune) to support complex data relationships and knowledge graphs.

• Configure and maintainLinux environments. Collaborate with IT security teams by understanding implemented firewall rules and defining application firewall requirements. Manage application traffic securely with a strong understanding ofload balancers andproxy 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 requirementsandassist in provisioning cloud infrastructure (AWS, GCP, or Azure) to host applications securely.

What do you need to have for this role?

• Strong proficiency inPython. Hands-on experience with leading enterprise AI ecosystems, specificallyGoogle Gemini AI and AWS AI/ML platforms (e.g., Amazon Bedrock). Experience with LLM frameworks (e.g., LangChain, LlamaIndex), building vector databases/knowledge graphsandpractical 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) andReact. 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, NoSQLandgraph databases. Proficiency with Oracle, MySQL, Google BigQueryandfamiliarity with graph technologies (e.g., Neo4j).

• Strong proficiency inLinux administration. Solid understanding of corporate firewall requirements,load balancing architectures, proxy servers andgeneral 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 ConnectandJWT.

Preferred Qualifications:

• Experience with general cloud infrastructure on AWS, GCP, or Azure. Familiarity with containerisation (Docker, Kubernetes), Infrastructure as Code (e.g., Terraform)andbuilding CI/CD pipelines (e.g., GitHub Actions).

• Ability to elicit business requirements, define project scopesandapply 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 managementandservice 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 engineeringandinfrastructure 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.