Application Engineer - SRE

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Site reliability engineering (SRE) is a set of principles and practices that incorporates aspects of software engineering and applies them to IT infrastructure and operations.  The main objectives are to create highly reliable and scalable software systems and automate operational processes.    SREs focus on availability, latency, performance, efficiency, change management, monitoring, emergency response and capacity planning of their services.  

As an Application Site Reliability Engineer (SRE) you will be part of team of people who are responsible for the availability of a number of Discover’s most critical applications:  our Card and Bank websites and mobile application.  You’ll tap into your passion for ensuring these websites and mobile application are highly available for our customers.  

Responsibilities 

• Partner with Application Development teams to build resiliency into our critical websites and mobile application
• Partner with our Application Develop teams to implement service level objectives
• Partner with our Application Development teams and other SREs to build out end to end observability
• Implement monitoring, alerting and dashboards needed for our apps
• Automate operational processes
• Help to develop our capacity management and performance management tools
• Help to define the DR plan needed for our critical apps
• Help to develop a chaos testing process
• Participate in an on call rotation

Minimum Qualifications

At a minimum, here’s what we need from you:

• Bachelors – Computer Science or related
• 3+ Years – Information Technology, (Software) Engineering, or related
• Internal applicants only: technical proficiency rating of competent on the Dreyfus engineering scale

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Preferred Qualifications

Bonus Points If You Have:

• 3+ years of experience as an SRE 
• Good understanding of hybrid infrastructure, ideally with AWS
• Expertise in one or more general purpose programming languages: Python, Go, shell scripting (Unix/Linux), Java 
• Experience in CI/CD pipelines
• Experience in container technology (openshift, Kubernetes)
• Expertise in automation tools experience such as Chef, Puppet, Ansible. 
• Expertise in observability tools including APM (DataDog), synthetic monitoring and (Catchpoing), and log aggregation (Elk)

• Experience in dashboarding tools such as Grafana and Kibana

External applicants will be required to perform a technical interview.

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