Description

You will build and maintain the infrastructure used to track, collect, and analyze software performance metrics.

Responsibilities

• Design, build, and launch efficient data pipelines to track metrics from non-functional test executions.
• Develop tools and scripts to automate the collection and conversion of software testing data and device metrics.
• Maintain quality data collection systems including databases, web services, and data converters.
• Create visualization, debugging, and simulation tools to represent complex data for engineering teams and management.
• Collaborate with product and engineering teams to validate expected software behavior and performance.

Required Skills

• 5+ years of professional experience in a related field.
• Strong Python3 development skills following PEP8 standards.
• Proficiency in C, C++, or Bash.
• Experience designing, using, and developing REST APIs.
• Front-end JavaScript skills including Angular, React, jQuery, NodeJS, or AJAX.
• Ability to parse and manage large datasets (>100GB) using formats like JSON, CSV, Parquet, Avro, or XML.
• Experience designing and maintaining SQL and/or NoSQL databases.
• Knowledge of data pipeline tools such as Hadoop, Kafka, RabbitMQ, Spark, MapReduce, BigQuery, or ELK.
• Familiarity with orchestration tools like Rancher, Mesos, or Kubernetes.

Preferred Skills

• Experience managing and building Android/AOSP projects.

Key Skills

Education

Bachelor's degree in Computer Science