Senior AIOps Engineer

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 :

Essential Duties and Responsibilities

• Utilize Robotics Process Automation (RPA), AI/ML and big data to enhance IT operations.
• Analyze business processes to identify areas for automation and work with business stakeholders and IT teams to determine requirements and design software bots.
• Apply machine learning and data analysis techniques to streamline the significant events and patterns related to system performance and availability.
• Develop and implement advanced data analytics tools to extract insights from operational big data, identify patterns and detect suspicious events.
• Use machine learning and data analysis to automate processes and create tools that provide valuable insights from data.
• Implement state-of-the-art machine learning algorithms to solve complex operational problems.
• Develop innovative approaches and technologies to derive maximum value from available data.
• Collaborate with a team of experienced backend engineers, data engineers, infrastructure engineers and operational SMEs to tackle evolving challenges in the field of AI/ML and RPA.
• Design and implement enterprise-level AI platforms and services to improve IT operations.
• Perform other duties as assigned.

Pre-Requisites :

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience as a Software Engineer/Machine Learning Engineer.
• Mastering at least 2 of the following programming languages (framework) on backend engineering: PHP(Laravel), Python(Django), Machine-learning(TensorFlow), Data analytics(Streamlit) and SQL.
• Strong knowledge of RPA technology tools, including Automation Anywhere 360 Control Room and RPA Bot framework.
• Strong knowledge of data preparation and model training, including Kafka, Anaconda, Jupyter Lab and Google Colab.
• Experience with databases such as MySQL, MariaDB, CouchDB and Redis.
• Experience with version control systems, such as Git.
• Understanding of Agile development methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams.
• Ability to work independently and manage multiple projects simultaneously.
• Strong attention to detail and commitment to delivering high-quality work.
• Experience with cloud computing platforms, such as AWS.
• Experience with containerization technologies, such as Docker or Kubernetes.
• Familiarity with testing frameworks, such as Phpunit.
• Understanding of CI/CD pipelines.

Are you game?