Site Reliability Engineer – Burlington OR Bostonn

Reliability Engineer in Boston, MA

Posted 2019-02-04

We are looking for strong Site Reliability Engineer to take on the challenge of engineering infrastructure solutions for scale and performance while providing strong guarantees of availability to our customers.

Contribute to application code base and architecture with a focus on optimization for performance, reliability, scalability, security and cost
Implement HERE CI/CD best practices, deployment pipelines and test automation frameworks to enable frequent, high quality releases
Guide and train agile engineering teams to optimize service quality and ensure adoption of operational best practices
Understanding and adherence to HERE operational processes ensuring auditability and compliance with ISO and industry standards (includes Incident, Problem and Change Management)
Continually evaluate service and infrastructure usage to effectively manage performance, capacity and cost – automating solutions wherever possible
Participate as a member of the SRE community to develop tools and services that enable automated operations
Contribute to documentation required to guide on-call engineers and on-board team members
Provide training and coaching in a capacity as Subject Matter Expert to other engineers
Who are you?
Software engineering background with a focus on operations and delivery
Production operations and support at scale with a proven track record of maintaining highly available and performant platforms
Programming and scripting languages to contribute to application development and automation (e.g., Python, Go, Java, Scala, C / C++)
Practical knowledge of container solutions (e.g., Docker, Kubernetes, Mesosphere)
Experience with agile development and Continuous Integration/Continuous Delivery
Source Control Systems (e.g., GIT/Gerrit)
Build tools and platforms (e.g., Jenkins, Maven)
Test framework experience (e.g., JMeter, Cucumber, Selenium)
Deployment pipeline orchestration (e.g., GO)
Preferably experienced with Infrastructure as a Service / Cloud computing (e.g., Amazon AWS, Microsoft Azure, Google Compute Engine, etc.

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