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 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 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:
Data-driven applications, with tools such as PySpark
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
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/yearVarious 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 an Inc. Best Workplace for 2024Monte Carlo Named A Top 20 ORG For Venture Capital Funded Companies, Spring 2024Monte Carlo Named A Top 5 ORG in San Francisco, Spring 2024Data Quality Startup Monte Carlo Is A Unicorn After Fourth Funding Round In Two Years
