Backend Engineer

About Monte Carlo

As businesses increasingly rely on data + AI for competitive advantage, reliability has become a non-negotiable. Named a CBInsights AI100 company and described by Forbes as the "New Relic for data", Monte Carlo supports some of the world's most prestigious companies, including Fox, Roche, Honeywell, and CreditKarma to deliver trustworthy data + AI at scale.

Backed by Accel, Redpoint Ventures, Notable Capital, ICONIQ Growth, and Salesforce Ventures, Monte Carlo is powering the future of reliable data + AI.

About the role:

We are looking for a Backend Engineer to take significant ownership in building Monte Carlo's cloud application for Data Observability. The role will involve end-to-end development: helping formulate usability requirements and designs, full production implementation, and 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 to delight customers

• 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, releasing, and operating your code in production

• Navigating with some ambiguity while solving problems and pursuing solutions to difficult challenges

We’re excited about you because:

• You have 4+ years of experience delivering production-grade backend code, performing code reviews, and working on cloud, data, and web applications

• You have strong Python skills (we use Django) 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 lead critical projects or initiatives within your team and organization

• You have experience in some of:

  • Serverless applications, especially with AWS and Lambda

  • Data-driven applications, with tools such as PySpark

  • 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

• 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.

$160,000 - 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

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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