Associate Manager, AIOps Engineering

Razer Merchant Services Sdn. Bhd.; Shah Alam; On-site; MYR 180,000 - 300,000; Full time

Job summary

Razer is seeking a seasoned AIOps engineering leader to transform IT operations through AI-powered solutions. You will build and guide a high-performing team leveraging RPA, AI/ML and DataOps to drive automated incident response, monitoring, and performance optimization.

You will oversee data pipelines and big-data processing, translate business needs into scalable AI services, and measure impact on operations and outcomes while promoting collaboration and innovation across global teams.

Qualifications

• Experience leading and growing an AIOps engineering team.
• Proven track record of leading high-performing engineers.
• Ability to design robust and scalable RPA solutions.
• Knowledge of data pipelines, data governance, and data quality.

Responsibilities

• Form and grow an engineering team with expertise in RPA, AI/ML and DataOps.
• Provide strategic direction to maximize value from AI services.
• Oversee AI/ML, data analytics, and automated incident response initiatives.
• Lead the deployment of AI services aligned with business needs.
• Oversee streaming, collection, and processing of big data.

Skills

AIOps leadership

Team building

AI/ML expertise

DataOps

RPA

Cloud platforms

Data pipelines

Tools

AWS

Azure

GCP

Confluent Kafka

Job description

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities

Orchestrate the transformation of engineering operations through the strategic implementation of AI-powered solutions. Lead a high-performing team in leveraging RPA, AI/ML, and data analytics to achieve advanced monitoring, automated incident response, and performance optimization. Drive measurable business value by ensuring alignment with organizational goals and industry trends, while inspiring team members to actively contribute their expertise and shape the future of IT operations.

Essential Duties and Responsibilities

Form and grow a skilled engineering team with expertise in the technologies RPA, AI/ML and DataOps. Foster a collaborative and growth-oriented environment where team members can continuously learn and develop their skills. Provide strategic direction and guidance to the team, ensuring they are effectively utilizing their expertise to achieve organizational goals. Champion the adoption and integration of RPA, AI/ML, and DataOps technologies to optimize IT operations and solve complex business problems. Lead the implementation of AI services and solutions, ensuring they are aligned with business needs and deliver tangible value. Measure and track the success of AI-driven initiatives, demonstrating their impact on operational and business outcomes. Oversee the streaming, collection, and processing of big data. Utilize various tools and techniques to extract valuable insights and enable data-driven decision making.

Requirements

Demonstrated experience leading and building successful AIOps engineering team. Proven track record of leading high-performing engineers. Good communication and interpersonal skills to build trust and rapport within the team, facilitate clear communication and provide constructive feedback. Ability to foster a collaborative and growth-oriented environment where team members can learn from each other and continuously develop their skills. Ability to design and implement robust and scalable RPA solutions. Experience in identifying and automating repetitive tasks and processes. In-depth knowledge of data pipelines, data governance, and data quality principles. Familiarity with major cloud-based AI/ML platforms (e.g., AWS, Azure, GCP, Confluent Kafka) for deploying and managing AI and big data solutions.

Pre-Requisites

Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.

Are you game?

At Razer, you’ll be at the forefront of the most exciting industry in the world: gaming. As gaming evolves, so does the ecosystem that powers it: hardware, software and services. Guided by our mission “For Gamers. By Gamers.”, we create cutting-edge products and experiences that define the ultimate gameplay. Staying true to our mission, we’re relentlessly pushing boundaries and leading the charge in AI for gaming, shaping the future of the industry. At Razer, you won’t just witness this evolution; you’ll help drive it. Joining Razer means being part of a global mission to bring gamers closer to the games they love. Whether you’re crafting the next generation of gaming gear or powering our global operations behind the scenes, you’ll take on meaningful work in a truly international, cross-cultural environment. The journey toward Being Phenomenal isn’t always easy, but gamers excel through teamwork, grit, and problem-solving. Our people are what make Razer exceptional. Together, we’ll take Razer to even greater heights. Razer is proud to be certified a Great Place to Work® in both the United States and Singapore, and recognized as a Singapore Top Employer by the Top Employer Institute, reflecting our commitment to making your journey here a rewarding one.

Equal Opportunity Employer

At Razer, we believe diverse teams build better ideas and a stronger culture. We are committed to providing an inclusive, respectful and fair workplace for every employee. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected by the laws of the countries we operate in. We also provide reasonable accommodations where needed — including for disability or religious practices — so every team member can perform and contribute at their best.