Software Engineer, Data Platform Job at HeadSpin
This is a 100% Remote Role and can be located anywhere in the US
About Us
HeadSpin is a unique developer platform that combines data science insights and global device infrastructure to enable companies to perfect their digital experiences during the engineering cycle. HeadSpin platform is present in over 50 countries. Its data science platform has an ability to assess over 130 performance KPIs, analyze root cause of the poor experience issues and recommend solutions to address them. HeadSpin differentiates itself from other testing solutions that only focus on functional or load testing. By using HeadSpin, companies have enhanced their customer experience, reduced time to market and optimized the cost of their digital applications.
About the Role
In this role you will build and deploy platform applications and services that enable a variety of data products across the HeadSpin enterprise. You will be working alongside other platform engineers and data scientists to help the company improve its data products and analytics. Specific responsibilities include, but are not limited to, development of distributed data applications and services, performance and cost optimization, data model and pipeline tooling.
What You'll Do
- Help build a performant and highly available data platform along with the frameworks to support it.
- Actively contribute to the adoption and development of distributed architecture and tooling best practices.
- Help train and empower sales engineers and other technologists using the data platform to gain real-time insights into customer application performance.
- Help guide and prioritize development of the tooling to enhance our capabilities.
- Relentlessly analyze and improve the performance of our systems.
What You’ll Need
- Bachelor’s Degree in Computer Science, Engineering, or related field.
- 3+ years’ experience building highly-scalable applications.
- Strong Python programming skill set. Knowledge with Tornado and Asyncio a plus!
- Experience designing, querying, and optimizing SQL data tables.
- Ability to explain technical concepts in simple terms to business stakeholders.
- Experience designing and implementing applications in an asynchronous environment
- Experience deploying data pipelines in a production environment.
- Experience with distributed cloud infrastructure and AWS.
- A knack for analyzing and improving existing processes.
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