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SalesforceIQ Senior Site Reliability Engineer

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Category:  Technology - Software Development
Location:  US - California - Palo Alto
03/14/2017
SalesforceIQ Senior Site Reliability Engineer

Overview:
SalesforceIQ is built to power the world's customer relationships with products they love. Our relationship intelligence platform reimagines how sales organizations can automate their businesses by capturing and processing the millions of digital signals sent every day. Constructing delightful solutions from a sea of data and complexity is what we do. Our team moves with the speed, independence, and culture of a startup, but with the full support of a rapidly growing Fortune 500 business. We believe strongly in empowering engineers to create elegant and beautiful solutions for our customers: we push code daily, prize unique ideas, and take the time to enjoy the moments along the way.

Senior Site Reliability Engineers at SalesforceIQ are hybrid software/systems engineers who ensure that SalesforceIQ and Einstein's services run smoothly and have the capacity for future growth. You will be responsible for managing our production services and will be working very closely with developers and other Ops teams to ensure reliability, scalability and performance of our cloud infrastructure.
Senior Site Reliability Engineers at SalesforceIQ are hybrid software/system engineers who are responsible for building the infrastructure for platforms, which include Einstein (Salesforce's AI / Machine Learning platform) to run at scale. You will be responsible for managing our batch analytics platform and will be working very closely with developers and other teams to ensure reliability, scalability and performance of our cloud infrastructure.

Responsibilities :
  • Develop and deliver configuration and deployment automation required for improving the functionality, availability, and manageability of our batch analytics data platforms.
  • Implement microservices architecture for streaming and data pipelining.
  • Implement orchestration framework for deploying, managing, and monitoring applications on cloud infrastructure.
  • Optimize jobs/platforms performance tuning.
  • Utilize existing technologies for monitoring Hadoop clusters and other distributed systems to improve the EMR platform.
  • Build infrastructure and application monitoring by gathering application and system metrics and implement tools for recoveries.
  • "Infrastructure as Code": Develop and deploy configuration for launching the infrastructure platforms and versioning as software source code.
  • Automate network and security configurations.
  • Perform code reviews, evaluate implementations, and provide feedback about potential tool improvements.
  • Partake in an on-call rotation alongside the engineers.

Requirements :
  • BS in Computer Science with minimum 4 years experience, or MS in Computer Science with minimum 3 years experience.
  • Experience with big data cluster such as Apache Spark, Hadoop, Cassandra, etc.
  • Experience building systems on cloud technology (AWS, GCE, Rackspace, Openstack).
  • Experience with Hadoop ecosystem such as EMR, Spark, HDFS, Yarn, schedulers, etc.
  • Experience with container technologies and orchestration layers (Docker, Vagrant, Mesos, Marathon, Kubernetes, etc).
  • Demonstrated coding skills, preferably in Scala, Java, Python, Ruby, Go.
  • Demonstrable knowledge of UDP, TCP/IP, HTTP, distributed systems.
  • Solid understanding of application design, including the operational trade-offs of various designs.
  • Experience working in Unix/Linux operating systems and shell scripting.
  • Excellent analytical skills, coupled with a strong sense of ownership, urgency, and drive.
  • Ability to work independently and collaboratively with multiple partners.
  • Comfortable with Agile methodologies and working within small teams.


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