(Sr.) Applied AI DevOps Engineer

Everyone in Group 1 has the opportunity to join different teams and share their knowledge and passion, contributing to real results for our customers. Along this journey, we look for people who not only bring strong technical skills but also a forward-thinking mindset—those who can leverage AI technology to challenge the status quo, enhance productivity, and build innovative solutions that truly make a difference. We believe in adopting AI-powered development workflows to help our engineers produce more reliable, and high-quality programs, and create scalable products faster. This helps us learn from our customers and build solutions that truly make a difference.

As a (Sr.) DevOps Engineer, you will be responsible for building and maintaining robust backend services — contributing to CI/CD workflows, infrastructure-as-code, and DevSecOps practices across the software development lifecycle. You will also implement and maintain monitoring systems for product and service health checks, and join on-call rotations to triage and resolve customer-reported issues and service incidents.

• Leverage AI-native development tools (e.g., Claude Code, GitHub Copilot, Cursor) across every stage of the development lifecycle to deliver stable, high-quality output efficiently.

• Identify toil, design and implement automation within the SaaS

• Ensure the service performance, availability and reliability of all servers, services and microservices within the SaaS; maintain a high SLA.

• Provide operational support and automation tools to application developers including deployments to staging and production environments

• Have a strong focus on security and compliance within a cloud environment

• Have a strong focus on metrics, measurement, and reporting on and improving service levels

• Exceptional prioritization skills, including transparently communicating and justifying time investments

• Be passionate about cloud computing, site reliability, automation and technology

• Research and implement new technologies and processes as they become available with the goal of learning and improving service quality and reducing costs

• Familiarity with AI-native development tools (e.g., Claude Code, GitHub Copilot, Cursor) and maintaining consistent AI configurations.

• Established a repeatable AI-native development workflow across every stage of the development lifecycle.

• Familiarity with context engineering practices and leveraging or building agent tools (e.g., AI Agent Skills, MCP servers).

• At least two years of experience designing and implementing software with high-level languages including Java / Python / bash script

• At least two years of experience in cloud computing with a preference to AWS, Azure, or GCP Hands on experience of infrastructure, systems and application architecture in large scale, web-based applications

• Experience in developing infrastructure as code including technologies like Terraform and Serverless

• Experience in container solution (e.g., Docker/K8S)

• Experience with testing and managing high availability environments with execution of disaster recovery tests on a regular basis

• Familiar with various cloud monitoring tools, performance monitoring and profiling tools

• Understanding of load testing, monitoring and performance management tools for every layer of the environment Strong customer service & customer focus with the ability to provide service to all levels of the organization

• Experience with at least one of CI/CD tools (e.g., Gitlab, Jenkins, GitHub Action etc).

• Experience driving measurable team-level improvements through AI workflow standardization.

• Experience leveraging AI to redefine product capabilities and deliver measurable business impact.

• Good teamwork and problem-solving skills.

• Excellent cross-team collaboration/communication.

• Aggressive working attitude and open mind.

• Willing to take challenges and take actions with agility.

• Understanding of secure coding practices and compliance adherence within a cloud environment including PCI, ISO27001 and SOC2.

• Passionate about AI and eager to share knowledge.

• Embraces experimentation and continuous learning in a fast-evolving AI landscape.

• Everyone owns both development and testing — quality is built, not just tested.

• Embraces DevOps culture including design, coding, testing, and support customer issues.

• Good English communication skills and proactive attitude, strong problem-solving skills, and a willingness to take on challenges.

• Effective communicator and reliable team player in agile and cross-functional environments.

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連結智慧 守護世界 --- Connected Intelligence for Securing a Connected World