Position: Senior Backend Engineer
Company: nOps
Experience required: 5y
English level: fluent

nOps is revolutionizing the way our users optimize their public cloud environments for cost. We are a fully featured FinOps platform that ingests billions of data points about our customers each day to provide engineers with insights that allow them to take action with confidence, and the automation and integrations that meet them where they work. We are currently leaders in compute, autoscaling, EKS, RDS optimization and the automated provisioning of commitments that help our customers to focus on innovation. At nOps, we wake up each day and ask ourselves how we can use the data in our platform to help our customers to save even more.

Job Description

We are currently looking for a Senior-level back-end engineer to join the team and help us in spearheading our ambitious backlog of meaningful capabilities, thrive in our culture of innovation, and leverage their deep understanding of public cloud and cloud native architecture to drive even more value into the platform.

Responsibilities

* Work with data scientists, product leaders, and subject matter experts to architect and deliver automated cloud optimization features
* Continuously analyze customer data, behavior, and problems to ensure that our features solve meaningful problems for engineers
* Take responsibility for the stability, performance, security, and experience of the features that you deliver to production
* Act as a technical leader in your feature squad and across the backend engineering group
* Collaborate, review, and publish meaningful engineering content targeted at engineers, cloud experts, and finance teams
* Participate in architectural review, platform improvement, and data platform planning groups
* Mentor junior team members


Qualifications

* 5+ years of professional software engineering experience
* Python expert
* Public cloud infrastructure and architecture expert
* Bachelor's degree or higher in Computer Science or closely related field
* Deep understanding of microservice oriented, event-driven, cloud native architectures
* Experience working with a variety of data layers - columnar, analytics, * * NoSQL, Data Lake