Senior Backend Engineer - 24337
Job Description
Description
Why YOU want this position
Enverus is the leading energy SaaS company delivering highly technical insights and predictive/prescriptive analytics that empower customers to make decisions that increase profit. Enverus' innovative technologies drive production and investment strategies, enable best practices for energy and commodity trading and risk management, and reduce costs through automated processes across critical business functions. Enverus is a strategic partner to more than 6,000 customers in 50 countries.
Enverus has a dynamic hub for developing software in Brno, Czech Republic and you can learn more about our team, company culture, and benefits here .
We're hiring a Senior Backend Engineer to join our Power & Renewables team. This role offers the opportunity to join a rapidly growing company delivering industry-leading solutions to customers in the world's most dynamic and fastest-growing sector.
What You Will Do:
- You will work on the Senior Leadership agenda and high-priority projects critical to the success of Enverus
- Build and maintain scalable cloud-based infrastructure of data ingestion, data processing, machine learning, and data dissemination
- Design observable tracking and alerting systems
- Enjoy a range of firm-wide social activities. The teams engage in regular socials around the year fostering a collaborative and intellectual environment for innovation
What You Should Have:
- 4+ years of experience working with data-rich applications
- Extensive experience building backend applications using Python
- Experience with using Kafka, SQL, and no-SQL databases
- Experience with AWS and Kubernetes
- Ability to work independently and as a member of a team on assigned projects and tasks with limited supervision
- Ability to prioritize, raise issues, and resolve tough problems in a timely fashion to meet business deadlines
- Self-motivated, task-oriented personality with a strong work ethic and desire to learn
Our Technology Stack:
- Python, SQL, AWS, Kafka, Kubernetes
Date Posted
09/09/2024
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