Associate Manager, AIOps Engineering

Razer Inc.; Shah Alam; On-site; MYR 180,000 - 240,000; Full time

Job summary

Razer Inc. in Shah Alam seeks an Associate Manager to lead an AIOps engineering team, driving AI-powered operations, RPA, and DataOps to improve monitoring, incident response, and performance.

You will set strategy, mentor engineers, and partner with cloud platforms (AWS/Azure/GCP) and Kafka to deploy scalable AI services and data solutions that deliver measurable business value.

The role emphasizes collaboration, architectural excellence, and translating technical outcomes into business impact.

Qualifications

• Proven experience leading AIOps teams in large environments.
• Experience implementing RPA, AI/ML, and DataOps in enterprise IT.
• Strong collaboration and mentoring skills.
• Knowledge of data governance and data quality principles.

Responsibilities

• Form and grow a skilled engineering team in RPA, AI/ML and DataOps.
• Foster a collaborative and growth-oriented environment.
• Provide strategic direction and guidance to the team.
• Champion the adoption and integration of RPA, AI/ML and DataOps to optimize IT operations.
• Lead the implementation of AI services and solutions delivering tangible value.
• Oversee streaming, collection and processing of big data.

Skills

AIOps leadership

RPA

AI/ML

DataOps

Big data

Data pipelines

Kafka

Cloud platforms

AWS

Azure

GCP

Tools

AWS

Azure

GCP

Kafka

Job description

## Associate Manager, AIOps EngineeringApplylocations: Shah Alamtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR2025006757Joining 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.