Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DEExpertFlow_
As of 1 November 2026, ExpertFlow has 1 open roles (0 new in 30 days), its software engineering team is hiring most, and its postings name Flask, Java and Kubernetes as the tools the team works in.
As of 1 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- Bern, Canton de Berne, Switzerland
- Employees
- 51-200 employees (linkedin)
- Sells to
- contact center operators, customer experience teams
- Certifications on site
- Site languages
- EN
- Career system
- Zoho_recruit
ExpertFlow in one screen
Read from expertflow.com: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
ExpertFlow is a software company that provides AI-powered contact center and customer experience platforms for businesses. Its offerings include AI orchestration, virtual agents, conversation analytics, quality management, workforce optimization, and CRM contact center integration. The platform supports omnichannel in/outbound conversations across voice and digital channels.
Named on the site: contact center operators, customer experience teams.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 580 scored.
What ExpertFlow says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
API-gateway patterned, scalable, and performant developed mostly in Java/Spring/SpringBoot, NodeJS framework, Python/Flask, etc Asynchronous / Message oriented communication topologies that are event driven and using message oriented middleBackend services that are cloud-native, API-gateway patterned, scalable, and performant developed mostly in Java/Spring/SpringBoot, NodeJS framework, Python/Flask, etc Asynchronous / Message oriented communication topologies that are event
The solution is a mix of open-source and in-house developed software components deployed as microservices in a Kubernetes environment.s that are cloud-native, API-gateway patterned, scalable, and performant developed mostly in Java/Spring/SpringBoot, NodeJS framework, Python/Flask, etc Asynchronous / Message oriented communication topologies that are event driven and usinative, API-gateway patterned, scalable, and performant developed mostly in Java/Spring/SpringBoot, NodeJS framework, Python/Flask, etc Asynchronous / Message oriented communication topologies that are event driven and using message orienteduch as Apache Kafka, ActiveMQ, Netty.io, NATS.io, etc Working with audio/video protocols such as WebRTC, SIP, SIPRec, RTP/RTSP, MRCP and similar for development of voice and video communication software, screen-sharing and co-browsing, andmiddleware such as Apache Kafka, ActiveMQ, Netty.io, NATS.io, etc Working with audio/video protocols such as WebRTC, SIP, SIPRec, RTP/RTSP, MRCP and similar for development of voice and video communication software, screen-sharing and co-bnd services that are cloud-native, API-gateway patterned, scalable, and performant developed mostly in Java/Spring/SpringBoot, NodeJS framework, Python/Flask, etc Asynchronous / Message oriented communication topologies that are event driveBackend services that are cloud-native, API-gateway patterned, scalable, and performant developed mostly in Java/Spring/SpringBoot, NodeJS framework, Python/Flask, etc Asynchronous / Message oriented communication topologies that are eventriented middleware such as Apache Kafka, ActiveMQ, Netty.io, NATS.io, etc Working with audio/video protocols such as WebRTC, SIP, SIPRec, RTP/RTSP, MRCP and similar for development of voice and video communication software, screen-sharing aI technologies for real-time and historical data analysis, alerting and reporting Frontend development mostly using Angular and similar technologies And developing everything running on an automated DevOps pipeline in Kubernetes following Coriented communication topologies that are event driven and using message oriented middleware such as Apache Kafka, ActiveMQ, Netty.io, NATS.io, etc Working with audio/video protocols such as WebRTC, SIP, SIPRec, RTP/RTSP, MRCP and similars / Message oriented communication topologies that are event driven and using message oriented middleware such as Apache Kafka, ActiveMQ, Netty.io, NATS.io, etc Working with audio/video protocols such as WebRTC, SIP, SIPRec, RTP/RTSP, MRCPorking knowledge of code versioning systems based on Git Experience of using any design documentation tools such as Draw.io, Visio, or similar and the ability to document solution design and workflows Good written and oral communication skiVendors whose code loads on expertflow.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
1 open roles, 0 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring software engineering in Switzerland →
| open · new 30 d | |
|---|---|
| Software engineering | 1 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add ExpertFlow to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Free plan: 1,000 records, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like ExpertFlow
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 580 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
ExpertFlow (Bern, Switzerland, 51-200 employees) has 1 open roles, 0 new in 30 days, and names 14 tools in its postings. (Breaknorm, 1 November 2026, https://breaknorm.co/company/expertflow.com)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from expertflow.com: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Zoho_recruit career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
ExpertFlow: questions
Does ExpertFlow use Flask?
Yes, by the company's own words: 1 posting name it, first seen 2025-01-27, in the software engineering team.
Is ExpertFlow hiring?
1 open roles as of 1 November 2026, 0 opened in the last 30 days and 0 closed. The largest team hiring is software engineering.
Where does this profile come from?
From expertflow.com itself: we crawled it on 2026-09-07, built the profile on 2026-09-12, and read its career site (Zoho_recruit) hourly since. Headcount is from LinkedIn.
Who should I write to at ExpertFlow?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 0 public role addresses from the site are there too.
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The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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