IT Engineer, Monte Carlo
£59-80k
Offers Equity. EU salary: €65K – €85K
Data observability platform
Open for applications
Data observability platform
201-500 employees
Open for applications
£59-80k
Offers Equity. EU salary: €65K – €85K
201-500 employees
Company mission
To accelerate the world’s adoption of data by reducing data downtime.
Role
Who you are
- 4+ years of hands-on experience supporting IT infrastructure, troubleshooting, and managing end-user environments
- Experience with macOS administration in a professional IT environment (we are a Mac-focused shop)
- Experience delivering production-grade IT services
- Understanding of navigating ticketing platforms and supporting end users via written communication
- Mastery of SaaS and AWS technologies
- Experience building and scaling distributed and highly available architectures
- Sense of urgency, ownership mindset, and customer focus
- Well-versed in technical writing and documentation of structured processes
- Experience with DevOps and Infrastructure as Code
- Experience with scripting languages (Bash or Python)
- Knowledge of maintaining and querying data platforms, with scripting language (SQL)
What the job involves
- We are seeking a skilled and proactive IT Engineer to join our team. In this role, you will be responsible for supporting all users across the organization through the IT Helpdesk and other communication channels, ensuring the timely resolution of technical issues
- You will also play a key role in maintaining, administering, and improving our IT systems to ensure smooth and secure operations
- This position reports directly to the Head of IT and will be remote in the UK, Ireland, Portugal, or Spain
- Enabling product development by providing in-depth, hands-on support to engineering requests
- Onboarding vendors and applications into the company tech stack
- Formulating requirements for IT solutions, designing IT systems, and implementing, testing, and maintaining IT Services
- Owning major projects from inception to deployment, shipping at a rapid pace
- Architecting simple yet flexible solutions, and then scaling them as we grow
- Maintaining compliance standards by ensuring employee life cycle processes are executed properly
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 is an interesting challenge for Monte Carlo, and it met it in 2024 with product enhancements that include new GenAI capabilities for its platform.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
32% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
May 2022
$135m
SERIES D
Aug 2021
$60m
SERIES C
Total funding: $236m
Company HQ
Dolores Heights, San Francisco, CA
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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