Associate Manager, AIOps Engineering

Razer; Shah Alam; On-site; MYR 120,000 - 160,000; Full time

Job summary

A leading gaming technology company in Shah Alam is seeking a manager to lead its AIOps engineering team. The role involves forming a skilled team, implementing AI and RPA solutions, and overseeing big data processing. Candidates should have a proven track record in engineering management and be familiar with cloud-based AI/ML platforms. Join us to make a global impact while enjoying a collaborative work environment that promotes growth and innovation.

Benefits

Inclusive workplace

Growth-oriented environment

Opportunities for skill development

Qualifications

• Demonstrated experience in leading and building successful AIOps engineering teams.
• Good communication skills to build trust and provide constructive feedback.
• Ability to foster a collaborative environment for skill development.
• In-depth knowledge of data pipelines and quality principles.
• Experience in identifying and automating repetitive tasks.

Responsibilities

• Form and grow a skilled engineering team focusing on RPA, AI/ML.
• Provide strategic guidance to drive organizational goals.
• Implement AI services aligned with business needs.
• Oversee big data streaming and processing for insights.

Skills

Leading AIOps engineering teams

RPA solutions design

Data governance

AI/ML cloud platforms

Interpersonal skills

Tools

AWS

Azure

GCP

Confluent Kafka

Job description

Job Responsibilities

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.

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 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 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?