S

Scalera

AI-driven tender analysis and supplier matching

Senior Backend Engineer - Python

Full-TimeUpdated on 10/15/2026
No salary listed
Mid, Senior
Zürich, Switzerland
RemoteMust be located within the EU or EEA.
Software EngineeringBackend Engineering

About the job

Requirements
  • At least 4 years of backend engineering experience, with Python as the primary language.
  • Strong API design skills and experience with RESTful systems.
  • Production experience with FastAPI or Django.
  • A solid understanding of databases, data modeling, and query optimization.
  • Experience with continuous integration and continuous delivery (CI/CD), with a focus on code quality and maintainability.
  • Ability to scope, prioritize, and deliver work in ambiguous environments without perfect clarity.
  • Interest in artificial intelligence and machine-learning systems and their behavior in production.
  • Must be located within the EU or EEA.
Responsibilities
  • Own problems end-to-end by talking to users, understanding their needs, and shipping solutions.
  • Build and maintain Python backend services that bring artificial intelligence capabilities into production, including document parsing, supplier matching, and bid scoring.
  • Design and implement APIs and integrations connecting artificial intelligence systems with frontend applications and external platforms.
  • Develop data pipelines to ingest, normalize, and process large volumes of structured and unstructured construction data.
  • Collaborate with teammates on code reviews, testing, and continuous integration and continuous delivery practices.
  • Contribute ideas on applying new artificial intelligence techniques to real procurement challenges.
Desired Qualifications
  • Experience with Google Cloud Platform, including Cloud Run, BigQuery, Pub/Sub, or similar tools.
  • Background in data-heavy or artificial-intelligence-integrated product architectures.
  • Familiarity with artificial intelligence developer tools such as Cursor, Claude, or Copilot.
  • B2B SaaS, construction technology, or procurement domain knowledge.
  • German language skills.

About the company

Scalera.ai develops AI-powered software for the construction industry to optimize tender processes. It analyzes thousands of submission documents using natural language processing and machine learning trained on over 40,000 construction tenders, enabling precise searches and extraction of information. The platform automates supplier and subcontractor allocation while ensuring compliance with country-specific tender standards in the DACH region. It can split PDF documents and extract material packages, reducing manual work and improving efficiency. Scalera.ai differentiates itself by offering end-to-end automation focused on tender analysis, supplier matching, and regulatory compliance within the construction sector, backed by encryption to protect data. The company's goal is to help construction firms streamline tenders, match the right suppliers, and operate more efficiently through data-driven automation.

Company Size

11-50

Company Stage

Seed

Total Funding

$6.5M

Headquarters

Zurich, Switzerland

Founded

2024

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Simplify Jobs

Simplify's Take

What believers are saying

  • August 2026 careers pages show active hiring for backend, ML, and forward-deployed engineering.
  • The August 2026 website claims 150-plus customers and over five billion construction volume processed.
  • June 2026 references show 70%-80% faster tender handling, supporting expansion through 2026.

What critics are saying

  • Scalera remains concentrated in Switzerland, Germany, and Austria; DACH downturns hit bookings fast.
  • Construction procurement software is sticky, but switching costs collapse if peers match its precision.
  • A single horizontal AI suite faces erasing by SAP, Procore, or Autodesk partnerships.

What makes Scalera unique

  • ETH Zürich spin-off with 110-plus customers and CHF 8bn-plus annual tender volume.
  • Proprietary construction corpus spans 40,000 tenders, improving matching precision across DACH suppliers.
  • Reference logos like Frauenthal, ACO, Dormakaba, Daikin, and Saint-Gobain validate adoption.

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Benefits

  • Remote Work Options
  • Company Equity

Growth & Insights and Company News

Headcount

6 month growth

28%

1 year growth

28%

2 year growth

35%
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