Software Developer - Production Engineering

Company: Quantitative Systems
Location: Mountain View
Posted on: June 25, 2022

Job Description:

The RoleA software engineer in the Production Engineering group -works on engineering of the back-end services and infrastructure supporting our autonomous driving system. This role's responsibilities include development and support of a broad spectrum of services, infrastructure and data pipelines running across multiple datacenters and offices. -What you will do:

• Accelerate the global engineering team, making engineers productive building software, hardware, and services being developed for our -mission
• Create next-generation services at scale:
• Developer-facing APIs to enable engineering to create services and
• rapidly deploy software
• Scala, Java, Golang, Python programming for creating services and tools
• Microservices and web-based applications using SQL or other relational
• and non-relational databases
• Apache Kafka (NSQ, RabbitMQ or equivalent middleware)
• Apache Hadoop, Spark, Yarn, HBase and/or Accumulo
• Ansible (preferred), Terraform for Infrastructure automation
  • Develop the next generation of on-prem and cloud native services at scale including:
  • Linux (Ubuntu) based infrastructure
  • Kubernetes, Docker and Containers
  • Public Cloud environments such as Azure, AWS or GCP
  • VMWare Virtualization
  • Metrics and dashboards (Grafana, Telegraf, InfluxDB, etc.)
  • Databases (CockroachDB, PostgreSQL)
    Requirements:
    • BS in Computer Science or a related field
    • 5+ years in a UNIX-based large-scale web operations role
    • Advanced experience with programming language(s) (Golang, Scala, Java,
    • Python, C++)
    • Core competency in general infrastructure operations and engineering -Nice to Haves:
      • MS or PhD in Computer Science or a related field
      • Familiarity with big data tools such as Apache Spark, HBase, Accumulo
      • Knowledge of Cloud Security, Public Key Infrastructure, Encryption technologies
      • Exposure to Containers, Machine Learning or Big Data
      • Deep understanding of Kubernetes ecosystem
      • Network troubleshooting expertise
      • Experience with Linux on ARM, Android or related platform
      • Gradle, Groovy / Kotlin experience

Keywords: Quantitative Systems, Mountain View , Software Developer - Production Engineering, Professions , Mountain View, California