Q

QuickOps Consulting Tech Stack

IT consulting and nearshore staffing for enterprise infrastructure

Information Technology & Services Porto 51–200 employees Founded 2020 Partnership

QuickOps is a Portugal-based IT consulting and recruiting firm (51–200 employees, founded 2020) serving large multinationals with infrastructure and talent placement. The tech stack spans legacy (.NET, Windows Server, IIS) and modern data tools (Python, PySpark, TensorFlow, PyTorch), suggesting dual service lines: traditional enterprise support and emerging AI/analytics consulting. Senior-only hiring across engineering, data, and ops indicates a push toward higher-value delivery and capacity building rather than head-count expansion.

Tech Stack 47 technologies

Core StackWindows Server Linux MySQL MariaDB .NET C# ASP.NET Python PySpark LangChain NumPy Pandas scikit-learn TensorFlow PyTorch Java Scala IIS Apache NET Core Web API Umbraco Azure NetApp ONTAP SnapMirror SnapVault Spark MLlib SciPy Matplotlib+17 more

What QuickOps Consulting Is Building

◆Challenges

Capacity forecasting
Technology refresh initiatives
Performance bottlenecks

▲Active Projects

Netapp storage deployments for new environments
Firmware and hardware upgrades
Disaster recovery solution implementation

Hiring Activity

Accelerating5 roles · 3 in 30d

Department

Engineering

3

Data

1

Ops

1

Seniority

Senior

5

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About QuickOps Consulting

QuickOps Consulting is an IT consulting and recruiting firm headquartered in Porto, Portugal, operating since 2020. The company serves multinational enterprises with two primary service areas: nearshore staffing and IT consulting. Current projects span NetApp storage deployments, firmware and hardware upgrades, and disaster recovery solutions. The organization supports clients in scaling both team size and technical competency across infrastructure, data, and operations domains.

HeadquartersPorto

Company Size51–200 employees

Founded2020

Hiring MarketsPortugal

Frequently Asked Questions

What tech stack does QuickOps use?

Infrastructure: Windows Server, Linux, MySQL, MariaDB, IIS, Apache, .NET, ASP.NET, Azure, NetApp storage. Data and ML: Python, PySpark, Spark MLlib, TensorFlow, PyTorch, LangChain, NumPy, Pandas, scikit-learn.