Application Reliability engineer

Application Reliability Engineer

Location: Sunnyvale, CA. Duration: 6+

Essential Job Functions

• 5+ years of overall experience in providing application development and support for on-premise and cloud based Enterprise Data warehouse applications
• 3+ years of prior experience working as a software developer
• Good programming skills in at least 2 languages Java, Perl, Python, Scala
• Good hands-on experience in Unix, Linux, Shell scripting, SQL, autosys, Kafka and Splunk
• Hands-on with development to Production processes including testing, version control tools like git/svn and experience with source control, continuous integration, deployments etc.
• Continuously identify, elevate and lead the risks and mitigation paths for high-velocity and complex NPIs.
• Build a deep understanding of multi-function NPI processes, across Retail, Operations and IS&T.
• Experience with Automation skills using Ansible, Chef, Jenkins, and Puppet
• Good to have knowledge on messaging queues like Kafka, Geneva, and Stratos
• Hands-on experience with CI/CD tools and building pipeline using Jenkins or any other tool
• Strong verbal and written communication skills and ability to coordinate with multiple technical and functional users
• Self-motivated with excellent time management skills
• High attention to detail and you are good at finding edge cases
• Experience working on projects across languages and geos, multiple channels
• Familiar with Agile software processes and methodologies, and you can scope/prioritize issues accordingly
• Strong analysis, problem solving, and troubleshooting techniques
• Additional skills a plus, not required:
• You have knowledge of iOS and are familiar with the features of the Messages application
• You are familiar with basic Machine Learning and NLP concepts
• You've worked with Chatbots, Conversational AI or IVR systems
• Language speaking / reading skills (Chinese or Spanish)

Responsibilities

• Drive issue triaging and troubleshooting by looking at application logs and application code in order to route to the correct team.
• Able to do root cause analysis, process improvements and implementation.
• Ensuring resilience through pro-active testing and preventive maintenance.
• Set up monitoring and alert mechanisms to address issues before they become problems.
• Identify automation opportunities to prevent incidents from recurring.
• Develop prototypes and execute experiments to help guide engineering efforts.
• Effectively document and communicate standards to platform users.
• Maintain in depth understanding of end-to-end experience and system architecture.
• Able to perform code fixes for problems and support activities such as incident trend analysis under minimum supervision