Senior Growth Engineer- Backend/Python

Sorry, this job was removed at 05:40 p.m. (CST) on Wednesday, Nov 13, 2024
Hiring Remotely in United States
Remote
180K-230K Annually
Internship
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Monte Carlo is building the Data Observability category to accelerate the adoption of data.
The Role

About Monte Carlo
As businesses increasingly rely on data to power digital products and drive better decision-making, it's mission-critical that this data is accurate and reliable. Monte Carlo, the data reliability company, is the creator of the industry's first end-to-end Data Observability platform. Named an Inc. Best Workplace for 2024, a DBTA Readers Choice for Best Data Observability Solution for 2024, a G2 Best Product for 2023, and the "New Relic for data" by Forbes, we've raised $236M from Accel, ICONIQ Growth, GGV Capital, Redpoint Ventures, IVP, and Salesforce Ventures. Monte Carlo works with data-driven companies like Fox, Pepsico, Amazon, American Airlines, and other leading enterprises to help them achieve trust in data.
About the role:
We are looking for a senior engineer to take significant ownership in growing usage of Monte Carlo's cloud application for Data Observability. The Growth Engineering team is focused on onboarding new users and customers so that they get the full value of MC in their organizations. The role will involve end-to-end development: full production implementation, monitoring & tracking outcomes of experiments, and post-release operations. You will be collaborating with a small team of seasoned engineers, and your work will greatly impact our product and customers.
Location:
Anywhere in the Americas
Here's what you'll be doing:
- Building production-grade backend services and APIs that support usage of our platform
- Helping formulate usability requirements and designs
- Owning major projects from inception to deployment, shipping at a rapid pace
- Architecting simple yet flexible solutions, and then scaling them as we grow
- Testing, and operating your code in production, with measurement of its impact on our customers
- Navigate with some ambiguity while solving problems and pursuing solutions to difficult challenges
We're excited about you because:

  • You have 5+ years of experience delivering production-grade backend code, performing code reviews, and working on cloud, data, and web applications
  • You have strong Python skills or mastery of similar backend technologies in a large, complex codebase
  • You test your work (with automation) and follow traffic as customers use your features
  • You tech-lead critical projects or initiatives within your team and organization
  • You have experience in some of:
    • Growth engineering: building software products that drive adoption and usage
    • Data-driven applications
    • Serverless applications, especially with AWS and Lambda
    • The needs of data engineers and analytics teams, such as with Snowflake, Databricks, Airflow, dbt, or many similar tools (our customers)
    • Observability - a love of software APMs, debugging tools, and uptime metrics
    • Billing and payments - business applications
  • You collaborate with your team in a remote-first environment
  • You get your urgency from user feedback and product vision
  • You're pragmatic and biased towards action; you're able to see the bigger picture and reason about prioritization and scope


Additional Information:
This role will receive a competitive salary, benefits, and equity package. The salary is only for US-based employees and will be aligned with the range below.
$180,000 - 230,000/year
Various factors, including a candidate's professional background and experience, are considered when determining compensation. Final offer amounts may vary from the amounts listed above.
#LI-REMOTE
#BI-REMOTE
Come As You Are
Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.
Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We are proud to be recognized for our world-class employee experience:
Monte Carlo Named to American's Most Loved Workplace List 2024
Monte Carlo Named an Inc. Best Workplace for 2024
Monte Carlo Named A Top 20 ORG For Venture Capital Funded Companies, Spring 2024
Monte Carlo Named A Top 5 ORG in San Francisco, Spring 2024

What the Team is Saying

Mike Ebbers
Xuanzi Han
Helena Munoz
Cassie Quan
Tim Osborn
The Company
HQ: San Francisco, CA
173 Employees
Remote Workplace
Year Founded: 2019

What We Do

As businesses increasingly rely on data to power digital products and drive better decision-making, it’s mission-critical that this data is accurate and reliable. Monte Carlo, the data reliability company, is the creator of the industry's first end-to-end Data Observability platform. Named an Inc. Best Workplace for 2024, a DBTA Readers Choice for Best Data Observability Solution for 2024, a G2 Best Product for 2023, and the "New Relic for data" by Forbes, we've raised $236M from Accel, ICONIQ Growth, GGV Capital, Redpoint Ventures, IVP, and Salesforce Ventures. Monte Carlo works with data-driven companies like Fox, Pepsico, Amazon, American Airlines, and other leading enterprises to help them achieve trust in data.

Why Work With Us

At Monte Carlo we believe in building our company around great talent, not the other way around. That's why we're a remote-first organization by choice.

We work fast. We solve big problems. And we have a great time doing it.

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