
Senior DevOps Engineer
Posted Oct 26

Posted Oct 26
This is a fully remote position, open to applicants in United Kingdom.
• Assist in managing application infrastructure to enhance platform performance and reliability.
• Construct and uphold supporting infrastructure for cloud environments and applications.
• Leverage Azure resources to deploy scalable, reliable, and cost-effective services.
• Collaborate with engineers and provide guidance on critical projects utilizing subject matter expertise.
• Execute and automate system administration tasks, including installation, configuration, maintenance, and disaster recovery.
• Identify system-level challenges related to OS configuration and virtual hardware limitations.
• Create automation, auditing, and tools for security, compliance, and resource management.
• Oversee and enhance deployment processes.
• Take ownership of operational excellence and establish as well as maintain business-oriented KPIs.
• Utilize metrics to drive positive change and showcase team accomplishments.
• Strong analytical and problem-solving abilities.
• Effective communication skills across various disciplines.
• Solid grounding in either IT or Software Engineering.
• Experience in developing CI/CD pipelines and automating SaaS solutions within Azure.
• Proficient automation capabilities with scripting languages and Terraform, ARM, etc.
• Competence in building and optimizing cloud-based networks, including VNets and Application Gateways.
• Familiarity and experience in integrating third-party tools such as SonarCloud.
• Ability to construct environments from scratch, including Windows, Linux, SQL, Redis, and WebApps.
• Experience with containerization technologies.
• Preferred: Familiarity with Kubernetes or other orchestration tools.
• Preferred: Experience with Azure API Management or equivalent solutions.
• Preferred: Knowledge of NewRelic scripted monitors.
• Preferred: Experience with security tools, including CheckPoint, and established security best practices.
• Preferred: Familiarity with Hadoop, Kafka, Presto, or similar BI/Big Data technologies.
• Equal Opportunity Employer committed to diversity and an inclusive environment for all colleagues.
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