Senior Backend Engineer, Monte Carlo
Data observability platform
Open for applications
Data observability platform
201-500 employees
Open for applications
201-500 employees
Company mission
To accelerate the world’s adoption of data by reducing data downtime.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Dozens of billion dollar companies have emerged with a shared focus on easing the burden on engineering teams constantly battling to guarantee reliability in their products. For example, New Relic revolutionized application observability. In the same way, Monte Carlo is tackling data observability.
The service pulls information from metadata log metrics to help teams understand their data health, and if something breaks the product will send proactive notifications. The product is an off-the-shelf SaaS offering that customers can integrate and customize over time.
The company has won some major clients including big tech companies like Affirm and Intuit, but also JetBlue, PepsiCo, CNN, The New York Times, Asics, Rivian and others from many sectors. Its goal is to help companies reduce data downtime and the time data engineers must spend on tedious data quality tasks.
'Data Observability’ became a point of furore in venture capital in 2022. For example, in the span of one week, just three companies raised more than $400 million between them. Staying at the forefront of this industry will be an interesting challenge for the company.
Kirsty
Company Specialist
Insights
Company
Funding (last 2 of 4 rounds)
May 2022
$135m
SERIES D
Aug 2021
$60m
SERIES C
Total funding: $236m
Company values
- Customer impact: Our true north is making an impact on our customers with our team, our brand, our product. We work to ensure every interaction creates value and happiness
- Measure in minutes: Time is our most important asset. We act with urgency, in a thoughtful and decisive manner
- Ship and iterate: We have high expectations from ourselves. We accomplish through constant iteration and improvement. We respect and honor our imperfections
- Beat the odds: If we haven’t failed, we didn’t try hard enough. We set ambitious goals and beat them. We pull each other to overachieve
- Have fun: We stay positive, even when things are difficult. We win as a team, and we act in a way that makes us proud of the journey
Company HQ
Dolores Heights, San Francisco, CA
Articles
Leadership
Barr Moses
(CEO)Previously VP of Customer Success Operations for Gainsight. Originally trained as a Management Consultant with Bain & Company. Also attended Stanford where they studied Mathematics and Computer Science.
Lior Gavish
(CTO)Previously SVP of Engineering for another tech startup, Barracuda. Also previously worked for PayPal and holds an MBA from Stanford University.
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