Data Infrastructure Architect

4 weeks ago

Singapore Qlik Full time
Job Description

A challenging role has opened up in our Singapore office as a Cloud Reliability Engineer for Qlik. This exciting opportunity will see you working with a global leader in data transformation and analytics, shaping the future of complex data landscapes into actionable insights.

About the Role

We are seeking a skilled Cloud Reliability Engineer to join our Site Reliability Engineering (SRE) team. As a key member of this team, you will play a vital role in ensuring the scalability, observability, and reliability of our SaaS platform. Your passion for software engineering best practices will be essential in scaling our architecture, improving reliability, increasing automation, and eliminating manual processes.

This is an excellent chance to stay curious about new technology, infrastructure, and practices to enhance our SaaS architecture and prepare for future growth. You will drive the provisioning of secure, reliable, and scalable SaaS infrastructure through code, embracing Infrastructure as Code with teams across the organization. Additionally, you will advocate for reliability and scalability best practices throughout the development lifecycle, setting an example for others to follow.

You will have the opportunity to automate and develop tools to reduce manual intervention and eliminate toil, improving efficiency and metrics and traces to effectively observe systems. Providing valuable data and insights for continuous data-driven alerts will also be a crucial part of your role, proactively identifying and escalating issues, and working with development teams to establish Service Level Objectives (SLOs) and enhance system performance.

Impact of the Role
  • Scalable Infrastructure: Use your expertise to scale our SaaS architecture, ensuring it can support the needs of our growing user base and evolving business requirements.
  • Reliability Improvement: Implement reliability best practices and develop SRE-managed services and tools to enhance the reliability of our systems, minimizing downtime and improving user experience.
  • Automation Enhancement: Drive automation initiatives to streamline processes and reduce manual intervention, enabling teams to focus on high-value tasks and innovation.
  • Data-Driven Decision Making: Leverage metrics and insights to make informed decisions, proactively addressing potential issues and continuously optimizing system performance.
Requirements

To succeed in this role, you will need:

  • 3+ years of Total IT Experience
  • Experience with deploying and supporting a SaaS offering
  • Experience with deploying and supporting Kubernetes clusters in a public, scalable SaaS offering
  • Experience as a Site Reliability Engineer or in a DevOps environment
  • Development experience (Golang / Python / bash / etc.)
  • Experience with each of the following:
  • Cloud Infrastructure (Amazon Web Services (AWS) / Google Cloud Platform (GCP) / Azure / etc.)
  • Bug tracking (JIRA / Bugzilla /YouTrack/ etc.)
  • Continuous Deployment (concourse / GitHub Actions / Spinnaker / etc.)
  • Source control (github/gitlab/ etc.)
  • Familiar and comfortable with agile development techniques – Scrum certified preferred
  • Self-starter with the ability to work independently on projects
  • Proactive and strong ability to learn new things with limited guidance
  • Demonstrated ability to work effectively within a team and with cross-functional technical and business teams
  • A curious attitude that is interested in knowing why things work the way they do and using that information to improve and enhance
Salary Information

The estimated salary for this role is $120,000 - $180,000 per annum, depending on experience. We offer a competitive salary package, including benefits such as genuine career progression pathways and mentoring programs, a culture of innovation, technology, collaboration, and openness, flexible and diverse work environments, and opportunities for professional growth and development.

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