Razorpay: DevOps Enginer — Malaysia

Razorpay lists a DevOps Enginer opening in Malaysia. The job description covers Python, AWS, Kubernetes, Docker, Linux, Terraform, CI/CD.

Recruitment overview

OrganisationRazorpay
Post / roleDevOps Enginer
DepartmentDevOps
Employment typeNot specified
Notification / job ID4730552005
Job locationMalaysia
Work arrangementNot specified
Educational qualificationSee the employer’s role-specific qualification criteria
Experience required1-3 years of hands-on experience in DevOps/Currently practicing DevOps methodology
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

About Razorpay

Razorpay develops financial technology for businesses accepting, processing and disbursing money. Its employer introduction describes products extending from online checkout and payments to payouts, reconciliation and payroll automation. It also discusses applying AI to payment-related workflows, fraud detection and financial information. The business focuses on the systems organisations use to move and manage funds, connecting transaction processing with the administrative and operational tasks that occur before and after a payment.

The position and its setting

Razorpay lists DevOps Enginer in Malaysia, under reference 4730552005. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

  • Department: DevOps
  • Employer listing date: 3 September 2026

Responsibilities and work described

  • DevOps engineer is critical to the project’s overall success, right from planning to supporting primary KPI as customer satisfaction and productivity
  • A DevOps Engineering Expert has an essential role in integrating the project functions and resources across the product life cycle, right from planning, building, testing, and deployment to support
  • Building: and maintain the cloud infra environments
  • Quality / delivery: availability, performance, security, and scalability of production systems
  • Collaboration: with application teams to apply DevOps practices in the development lifecycle
  • Design: repeatable, automated, and scalable processes to increase efficiency and improve software quality such as managing Infrastructure as Code & work on internal tooling which simplifies workflows
  • Automate and streamline our operations and processes
  • Troubleshoot and diagnose issues / outages and Provide operational support
  • Engage in incident handling, especially supporting a culture of post-mortem and knowledge sharing
  • Design, develop, and implement AI-powered agents and agentic automation solutions for DevOps operations, including infrastructure management, monitoring, troubleshooting, incident response, and deployment workflows

Essential requirements and candidate background

  • Create solution prototypes and conduct proof of concept of new tools
  • 1-3 years of hands-on experience in DevOps/Currently practicing DevOps methodology
  • Experience: cloud infrastructure preferably AWS
  • Knowledge: containerization (Docker, Kubernetes) and orchestration technologies
  • Demonstrable hands-on proficiency in AI technologies, with practical experience building and implementing AI agents/agentic workflows for DevOps, cloud infrastructure, automation, or IT operations
  • Experience: any Configuration Management like Puppet/Chef/Ansible
  • Do scripting (any one of Shell, Ruby, Perl, Python, golang, etc.)
  • Troubleshooting and system engineering exposure in Linux production environments
  • Comfortable working in a fast-paced environment while continuously evaluating emerging technologies
  • Communication and analytical/problem-solving skills
  • Good to have experience in Databases: (MariaDB/MySQL, etc)
  • Knowledge: CI/CD, Logging, and Monitoring stack
  • Should be well versed with IaaC specially Terraform
  • Should be well versed with networking at AWS
  • Should be able to manage infrastructure operations at the bank
  • Have a few weekend side projects up on GitHub
  • Have contributed to an open-source project
  • Have worked at a product company
  • Have a working knowledge of a backend programming language
  • Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

  • Permanent full time role based at our office - Kuala Lumpur (Mondays to Fridays)
  • Advertised location: Malaysia

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another DevOps Enginer vacancy is not an offer for reference 4730552005; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Razorpay

Applications follow the official employer page linked below.

Open the official Razorpay posting below and match the title and reference 4730552005.

Compare your qualifications and experience with the essential conditions for the Malaysia position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

  • Python
  • Kubernetes
  • CI/CD
  • Docker
  • AWS
  • AI/ML
  • Linux
  • Terraform
  • Salesforce

Important links

Official notification / job descriptionOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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