Principal Software Architect | Deepomatic · Teeming.ai
Deepomatic
The world of field operations is under pressure: on one side, companies have to deploy new infrastructures quickly (such as fiber optics, 5G, smart meters, electric vehicles charging points, etc.).…
The world of field operations is under pressure: on one side, companies have to deploy new infrastructures quickly (such as fiber optics, 5G, smart meters, electric vehicles charging points, etc.).…
Product: SaaS computer vision / visual automation platform for field operations
Founders: Augustin Marty; Aloïs (Alois) Brunel; Vincent Delaitre
Recent funding: Series B ~€10M / $10.5M (2022)
Total funding (aggregate reported): $19–21M (approx.)
Company Overview
Problem Domain
Field operations quality control and automation for deployments like fiber optics, 5G, smart meters, and EV charging.
Industry
Software Development
Funding Track Record
Seed- 2015-09-14
$1.4M
Seed round reported in 2015
Series A- 2019-02-07
$6.2M
Includes equity and debt (reported $5.1M equity + $1.1M debt)
Series B- 2022-10
$10.5M (€10M)
Round closed in 2022
Investor Signal
“Participants across rounds include Alven Capital, Hi Inov (Hi-Inov Dentressangle), EnBW New Ventures, Orbia Ventures, Swisscom Ventures and business angels such as Pierre Valade and Bertrand Diard”
Founders
What we do
Join the Team
Principal Software Architect
On-SiteParis, FR
On-Site • Paris, FR
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Experience in building large-scale distributed systems and event-driven architectures. Examples include:
Complex data pipelines, ETL/ELT, and real-time streaming frameworks
Knowledge graphs, graph databases, semantic/ontology-based modelling, or advanced schema-driven systems
Designing architectures that unify heterogeneous data sources into coherent decision-making frameworks
Experience of building systems on at least one major cloud vendor’s platforms (AWS preferred)
Performance and scale: you have demonstrable experience of architecting and building systems that can ingest and process millions of events per day
Hands-on: you enjoy writing code and building prototypes, as well as helping to guide others in the productization phase. We expect that you’ll personally write significant portions (up to 50%) of the initial prototypes, then heavily contribute to the production code base
Comfortable with uncertainty: there is a lot that we don’t yet know how to solve. You’ll be at the centre of finding solutions
Ability to lead and influence: you’ll have a track record of working with multiple engineering teams to deliver complex products, convincing them of your approach, and marshalling the work
Communication: you’ll be happy debating with engineering teams on a whiteboard as well as presenting to executives using a slide deck, and you’ll know how to adjust your style to each audience
Curiosity: you will not know everything about the domains across which you’re working (AI, fibre networks, geospatial information systems, distributed systems) so you’ll need to be good at listening and learning quickly
Willingness to travel to other IQGeo offices (Denver, Ghent, Paris) for ~1 week at a time, approximately one trip/quarter
Fluent written and spoken English
Experience of “zero to one” products. We’re not a start-up, but this is something completely new
A working knowledge of telco fibre networks (you do not need to be an expert)
Experience of constraint solving systems
What the job involves
We’re looking for someone hands-on who can both define the system architecture and create the first prototypes themselves, then work with our teams around the world to build a true product that runs at scale at tier 1 telcos, globally
This is not easy: it will require true innovation as well as development of production software
It's a system-of-systems problem touching computer vision, AI/ML reasoning, heterogeneous sensor data ingestion, graph modelling, large-scale distributed systems, and workflow orchestration
This is a role for a highly accomplished technologist who wants to help shape the next decade of telecom operations – creating the industry’s first continuously self-correcting network model
You will work closely with a Principal Product Manager as they define the vision and goals for the product, and you determine the best ways to achieve those goals
3 months in: you have built the first rough prototype that proves the problem is tractable
6 months in: working with a team, you’ve built the first alpha of the product, and we can demo it to customers
12 months in: the first customer is live
This is not a management role, but you will be working with multiple managers and architects to engage their teams. Influencing skills are therefore key
Benefits
100% health insurance coverage (Alan).
Bicycle expenses covered up to €700 / year (or 75% of the Navigo pass)
