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Team XCL

Here you touch the problem. No layers between you and the decision.

Functional squads. We trust our team to design the architecture, choose the stack and operate with agents as part of the team. You get authority, code in production and a client who is open to solutions on the other side.

XCL challenges you from day one, but always with the team's support behind you.

LO

Leandro Oliveira

Salesforce Developer · 5 years at XCLStack: Apex, LWC, Service Cloud, Agentforce

What drew me in was the complexity of the projects. Here you're not stuck in maintenance only — you're always solving real problems for large enterprises.

IM

Iris Meado

Salesforce Consultant · 4 years at XCLStack: Marketing Cloud, Data Cloud

I've never seen so much seniority concentrated in one team.

GF

Gabriel Ferreira

Architect · 7 years at XCLStack: Python, BigQuery, Vertex AI, dbt

What you'll find here

Stack in production

Salesforce (Sales, Service, Marketing Cloud, FSC, Agentforce, Data Cloud), AWS, Google Cloud (Vertex, BigQuery, Gemini), Five9, Infobip, Python, TypeScript, LWC, Apex.

Project scope

Full implementations at large banks and insurers, migrations, Gen AI architectures in production, CCaaS–CRM integration with critical SLAs.

How the team works

Squads of 4 to 8 people, 2-week sprints, mandatory code review, Salesforce and Cloud certifications covered, a hybrid model with the option to work remotely.

Career path

An explicit technical track (Engineer → Senior → Staff → Principal) and a management track (Tech Lead → Engineering Manager), reviewed every 6 months.