Deal
As of 2 November 2026, Deal has 7 open roles (6 new in 30 days), its software engineering team is hiring most, and its postings name Kubernetes, Amazon Web Services and .NET as the tools the team works in.
As of 2 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- , , Brazil
- Employees
- 501-1000 employees (linkedin)
- Sells to
- companies, businesses, corporate enterprises
- Certifications on site
- Site languages
- PT
- Career system
- Inhire
Deal in one screen
Read from deal.com.br: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Deal is an AI consulting firm for companies in Brazil, Latin America and the US that provides AI strategy, digital development and legacy system modernization. Its offerings include mobile and web development, software architecture consulting, AI generative implementation, cloud-native architecture, quality assurance and test automation, and outsourcing or squad-as-a-service delivery models.
Named on the site: companies, businesses, corporate enterprises.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 594 scored.
What Deal 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.
• Realizar deployments complexos em Docker/Kubernetes (com balanceamento e autoescalabilidade).• Experiência com serviços de dados em nuvem AWS (Glue, EMR, Lake Formation, Redshift, S3, Step Functions, etc) e práticas de DataOps e FinOps.A posição exige experiência sólida em desenvolvimento Full Stack com .NET e React, arquitetura Microsoft Azure e construção de aplicações baseadas em modelos de linguagem, RAG e agentes de IA.• Projetar e desenvolver aplicações utilizando C#, .NET e ASP.NET Core no backend.• Desenvolver soluções utilizando Azure AI Foundry, Azure OpenAI e modelos de linguagem.• Projetar e desenvolver aplicações utilizando C#, .NET e ASP.NET Core no backend.Buscamos profissional com sólida experiência em .NET Core e microsserviços (DDD), capaz de atuar de ponta a ponta: da criação de APIs RESTful até observabilidade e monitoração com Grafana, Prometheus e Datadog.• Realizar deployments complexos em Docker/Kubernetes (com balanceamento e autoescalabilidade).• Atuar em pipelines CI/CD, resolução de incidentes e versionamento avançado no Git.• Experiência em APIs RESTful, mensageria (RabbitMQ/Cloud Pub/Sub), microsserviços e DDD.Buscamos profissional com sólida experiência em .NET Core e microsserviços (DDD), capaz de atuar de ponta a ponta: da criação de APIs RESTful até observabilidade e monitoração com Grafana, Prometheus e Datadog.Vendors whose code loads on deal.com.br or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
7 open roles, 6 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 Brazil →
| open · new 30 d | |
|---|---|
| Software engineering | 3 · 3 |
| Data & AI | 2 · 1 |
| IT operations & business systems | 1 · 1 |
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 Deal to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Deal
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 594 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.
Deal (, Brazil, 501-1000 employees) has 7 open roles, 6 new in 30 days, and names 14 tools in its postings. (Breaknorm, 2 November 2026, https://breaknorm.co/company/deal.com.br)
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 deal.com.br: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Inhire 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.
Deal: questions
Does Deal use Kubernetes?
Yes, by the company's own words: 3 postings name it, first seen 2026-10-02, in the software engineering team.
Is Deal hiring?
7 open roles as of 2 November 2026, 6 opened in the last 30 days and 0 closed. The largest team hiring is software engineering.
Where does this profile come from?
From deal.com.br itself: we crawled it on 2026-08-14, built the profile on 2026-08-16, and read its career site (Inhire) hourly since. Headcount is from LinkedIn.
Who should I write to at Deal?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 3 public role addresses from the site are there too.
Get this company your way
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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