Site Reliability Engineer

Qlik
United StatesPosted 15 May 2023

Job Description

Qlik Careers Site Reliability Engineer R&D - Research and Development Raleigh, North Carolina Apply Description What makes us Qlik? A Gartner® Magic Quadrant™ Leader for 15 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 Site Reliability Engineer Role Join our dynamic team at Qlik as a Site Reliability Engineer, where you'll play a crucial role in ensuring the security, stability, and scalability of our Qlik and Talend Cloud services. This exciting role offers hands-on experience with cutting-edge technology and scale challenges as we expand to support millions of transactions across our cloud environment. What makes this role interesting? Exciting Challenges: Take on the responsibility of maintaining the reliability and availability of our cloud platforms, tackling complex problems and driving improvements to enhance performance and scalability. Collaborative Environment: Work closely with our Engineering organization, collaborating with Architecture, Platforms, and Domains teams to design and develop new infrastructure features and optimize cloud-related practices. Innovative Solutions: Design and develop effective tooling, alerts, and responses to identify and address reliability risks, utilizing your expertise in cloud technology and backend systems. Professional Growth: Act as a resource for fellow engineers, sharing your knowledge and expertise in cloud engineering, production service operations, incident management, and troubleshooting. Continuous Learning: Stay updated on the latest industry trends and technologies, contributing to the adoption of best practices and driving continuous improvement within our cloud environment. Here’s how you’ll be making an impact: Reliability and Scalability: Ensure high reliability and availability of our cloud platforms, collaborating with cross-functional teams to implement new infrastructure features and optimize performance. Cloud Optimization: Define and evangelize cloud-related optimizations and best practices, driving improvements in reliability, scalability, and performance. Problem Solving: Analyze complex issues at the infrastructure, systems, network, and application levels, making recommendations and decisions to resolve them effectively. Knowledge Sharing: Share your expertise with fellow engineers, providing guidance on cloud technologies, automation, security, and best practices. On-Call Support: Participate in on-call duties to maintain the availability and performance of our cloud infrastructure, providing regular updates on project status and activities. We’re looking for a teammate with: Bachelor's or Master’s degree in Computer Science or a relevant field. Self-motivated with the ability to work autonomously and multitask effectively. Strong analytical skills for solving complex problems and driving innovative solutions. 5+ years’ experience with Infrastructure as Code (IaC) tools such as Terraform, Crossplane, and Ansible. 5+ years’ experience working alongside a production system running on Kubernetes  5-+ years of professional experience in cloud engineering, preferably with AWS and Azure. Possess AWS Solutions Architect Associate and/or AWS Solutions Architect Professional. 5+ years of Professional experience with operating and/or building microservices.  Proficiency in scripting and automation (e.g., Bash, Python, Go) and software engineering concepts. Experience with CI/CD, cloud and microservice autoscaling. Experience with networking security and secret-management tools (e.g. Vault, AWS SSM). Proficiency w ... (truncated, view full listing at source)
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