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Senior Site Reliability Engineer

What makes us Qlik?

 

A Gartner® Magic Quadrant™ Leader for 14 years in a row, Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster.

 

We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities.

 

The Senior Machine Learning Engineer Role

 

Join the Qlik Site Reliability Engineering (SRE) team and play a crucial role in ensuring the scalability, observability, and reliability of our SaaS environments.

 

As a Senior Site Reliability Engineer, you'll bring your passion for software engineering best practices to scale our architecture, improve reliability, increase automation, and eliminate manual toil.

 

What makes this role interesting?

 

  •              Continuous Learning: Stay curious about new technology, infrastructure, and practices to enhance our SaaS architecture and prepare for future growth.
  •              Infrastructure as Code: Drive the provisioning of secure, reliable, and scalable SaaS infrastructure through code, embracing Infrastructure as Code principles.
  •              Advocacy for Best Practices: Collaborate with teams across the organization to advocate for reliability and scalability best practices throughout the development lifecycle, setting an example for others to follow.
  •              Automation and Tooling: Increase automation and develop tools to reduce manual intervention and eliminate toil, improving efficiency and effectiveness.
  •              Observability: Utilize metrics and traces to effectively observe systems, providing valuable data and insights for continuous improvement.
  •              Proactive Issue Resolution: Automate data-driven alerts to proactively identify and escalate issues, working with development teams to establish Service Level Objectives (SLOs) and enhance reliability.

 

 

Here’s how you’ll be making an impact:

 

  •              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.

 

 

We’re looking for a teammate with:

 

  •              10+ years of total IT experience
  •              Experience with deploying and supporting a SaaS offering.
  •              3+  Years of Experience with deploying and supporting Kubernetes clusters in a public, scalable SaaS offering.
  •              Experience as a Site Reliability Engineer or in a DevOps environment.
  •              2+ Years Development experience (Golang / Python / bash / etc.).
  •              3+  Years 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.

 

 

The location for this role is:

 

  •              Bangalore-India (Hybrid / Hybrid-Remote)

 

Ready to join our Site Reliability Engineering team and make a significant impact on the reliability and scalability of our SaaS environments? Apply now!


 

 

 

More about Qlik and who we are:

 

Find out more about life at Qlik on social: Instagram, LinkedIn, YouTube, and X/Twitter, and to see all other opportunities to join us and our values, check out our Careers Page.

 

What else do we offer?

 

  • Genuine career progression pathways and mentoring programs
  • Culture of innovation, technology, collaboration, and openness
  • Flexible, diverse, and international work environment

 

Giving back is a huge part of our culture. Alongside an extra “change the world” day plus another for personal development, we also highly encourage participation in our Corporate Responsibility Employee Programs

 

If you need assistance applying for a role due to a disability, please submit your request via email to accessibilityta @ qlik.com. Any information you provide will be treated according to Qlik’s Recruitment Privacy Notice. Qlik may only respond to emails related to accommodation requests.

 

Qlik is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Qlik via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Qlik. No fee will be paid in the event the candidate is hired by Qlik as a result of the referral or through other means.

 

#L1-APAC

Average salary estimate

$135000 / YEARLY (est.)
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$120000K
$150000K

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Full-time, hybrid
DATE POSTED
November 15, 2024

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