Staff Reliability Engineer

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. The Staff Reliability Engineer will guide the use of best-in-class software engineering standards and design practices for instrumenting code/application technology stack to enable the generation of relevant metrics on overall technology health - availability, performance, quality, currency and resiliency.

Requirements

• 5 + years of relevant technical experience
• Bachelor’s degree or equivalent work experience in Computer Science, Information Technology Management, or associated degree
• Ability to interact with diverse technical and non-technical groups in a matrix organization
• Solid understanding of AWS, DevSecOps practices, SAFe Agile methodologies
• Familiarity with programming languages (Python, Lambda, Go, Java or JavaScript/Node.js)
• Familiarity with enterprise software solutions: (MS Teams, ServiceNow, Rally etc.)
• Expertise with cloud platforms like AWS and microservices architecture
• Hands on experience with Observability tools such as Dynatrace, SPLUNK, CloudWatch, CloudTrail, etc.
• Hands on Experience with continuous integration and DevOps methodologies, tools including GitHub, Jenkins, Nexus
• Must have exceptional communication skills (written, oral, presentation and facilitation)
• Understanding of robotics and artificial intelligence to improve services
• Experience in strategy development to achieve business objectives
• Hands-on application development and production support is a plus
• Ability to develop, manage and communicate frameworks: e.g., Cloud Security Alliance
• Solid understanding of technologies that support the services offered for cloud applications
• Excellent analytical and problem-solving skills

Benefits

• short-term or annual bonuses
• long-term incentives
• on-the-spot recognition