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Techunting Tech Stack

Staff augmentation and tech recruiting connecting global talent to enterprise clients

IT Services and IT Consulting Davie, Florida 51–200 employees Founded 2015 Privately Held

Techunting operates a staff augmentation and recruiting business with a 200+ person team across 15 countries, selling engineering capacity and onboarding services to mid-market and enterprise companies. The tech stack reveals an internal orientation around legacy enterprise infrastructure (Dynamics GP, SQL Server) mixed with modern cloud and observability tooling (AWS, GCP, Azure, Datadog, Splunk), suggesting the company supports both traditional and cloud-native client environments. Active hiring is concentrated in engineering (15 roles) and skews toward senior profiles (19 of 27), indicating capacity scaling rather than entry-level bench building.

Tech Stack 191 technologies

Core StackSQL Server Snowflake Python Java Kafka MySQL Redis AWS Terraform CloudFormation Datadog Splunk Prometheus Grafana PagerDuty Docker Podman Ansible Puppet Go Jenkins Dynamics GP GCP Azure Azure Resource Manager AppDynamics AlertManager Chef Unix Groovy+153 more
AdoptingAWS CDK
ReplacingInformatica

What Techunting Is Building

Challenges

  • Combat fraud
  • Reduce workload
  • Supporting multiple gp versions
  • Maintain platform quality
  • Client/server version mismatches
  • Expanding high-value technology portfolio
  • Implementing ai solutions in production
  • Ensuring ai security compliance
  • Scaling llm systems for regulated clients
  • Complex business transformations

Active Projects

  • Device management application
  • Document intelligence pipelines
  • Ai agent for invoice processing
  • Platform quality evaluation
  • Rag over enterprise document libraries
  • Gp upgrade support
  • Third-party crm integration
  • Commercial narrative development
  • Publisher opportunity mapping
  • Sales enablement framework

Hiring Activity

Accelerating25 roles · 25 in 30d

Department

Engineering
15
Support
3
Data
2
Ops
2
Consulting
1
HR
1
Marketing
1
Product
1

Seniority

Senior
19
Mid
8

Notable leadership hires: Dynamics 365 CRM Functional Lead

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About Techunting

Techunting is a staff augmentation and recruiting firm founded in 2015, headquartered in Davie, Florida, with a distributed team of 200+ professionals across 15 countries. The company connects clients with engineers, data specialists, and technical consultants across React, Node.js, Python, Java, Android, iOS, and other disciplines. Their service portfolio spans talent sourcing, staff augmentation, onboarding, and technical consulting. Current projects include device management applications, document intelligence pipelines, AI agent development (invoice processing), and enterprise integrations—reflecting the kinds of transformation work their client base pursues. The company operates in regulated and high-stakes environments, with documented investment in AI security compliance and fraud mitigation.

HeadquartersDavie, Florida
Company Size51–200 employees
Founded2015
Hiring MarketsBrazil, Angola

Frequently Asked Questions

What tech stack does Techunting use internally?

Techunting's stack includes Dynamics GP, SQL Server, Snowflake, Python, Java, Kafka, AWS, GCP, Azure, Docker, Terraform, Datadog, Splunk, and Jenkins. They're adopting AWS CDK and moving away from Informatica.

What projects is Techunting working on?

Recent projects include device management applications, AI agents for invoice processing, document intelligence pipelines, RAG systems over enterprise document libraries, Dynamics GP upgrade support, CRM integrations, and sales enablement frameworks for clients.

How this profile is built

Techunting's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.