IXL Learning
Senior Site Reliability Engineer
San Mateo, CA · Senior · Full-time
Sponsorship not specified$130k-$200kDetected 6 days ago
PythonJavaC++BashObject-Oriented ProgrammingAWSGCPDockerKubernetesSite Reliability EngineeringCommunicationCollaborationProblem SolvingTime Management
About the role
- This position requires you to be in our San Mateo, CA, headquarters office.
- Our pay ranges are determined by role, level, and location.
- The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position.
Responsibilities
- Develop and maintain accurate monitoring dashboards, alerting and runbook documentation suited to each product
- Identify technical problems and develop solutions
- Build and propose architecture changes that will make our products more scalable and reliable
- Develop tooling for deployment and release processes
Requirements
- Bachelor's or advanced degree in computer science or a related discipline
- 6+ years of professional hands-on software engineering or site reliability experience
- Experience with at least one object oriented programming language like Java, C++, C
- Experience with at least one scripting language like Python, Bash, Perl
- Experience with containerized cloud solutions utilizing Docker and Kubernetes
- Experience with common service technologies like web servers, message queues, load balancers, and databases
Nice to have
- Public cloud provider experience (AWS or GCP is a plus)
Compensation
- The base salary range for this full-time position is $130,000 to $200,000 + equity + benefits.
Benefits
- Rosetta Stone provides an immersive learning experience for 25 languages
Company info
- IXL Learning is the country's largest EdTech company.
- We reach millions of learners through our diverse range of products.
- Partner with application engineering teams to understand product needs, and help deliver scalable solutions for our customers
- Wyzant is the nation's largest community of tutors, covering 300+ subjects
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This listing is sourced directly from IXL Learning's careers page and normalized into a canonical job model.