Lead Specialty Engineer (Go / Cloud Native)

PINNACLE GROUP (Pinnacle Technical Resources); Irving (TX); On-site; USD 103,000 - 110,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401K contributions

PTO

Job summary

PTR Global is seeking a Lead Golang Developer to drive backend development across Irving, TX and other client sites. You will lead Go microservices, cloud-native design, and GenAI initiatives while collaborating with cross-functional teams to deliver scalable, secure software.

The role emphasizes hands-on leadership, architectural guidance, and agile delivery in a dynamic environment. Competitive pay and full benefits accompany this full-time consultant position.

Qualifications

• 5+ years of hands-on Go (Golang) development
• Proven experience building microservices and large-scale enterprise applications
• Strong Java experience; Python preferred
• 3+ years of Google Cloud (GCP) experience
• Strong expertise in Kubernetes, OpenShift, Docker, and cloud-native architectures
• Experience with Terraform and Infrastructure as Code
• 2+ years developing Generative AI solutions using OpenAI, LangChain, LangGraph, ADK, or similar frameworks
• Strong architecture and design skills focused on scalability, security, and performance
• Hands-on self-starter capable of leading technical delivery in an agile environment

Responsibilities

• Lead Go development and architecture for backend services
• Build and evolve microservices for enterprise-scale apps
• Collaborate across teams to implement cloud-native infrastructure
• Develop Generative AI capabilities using OpenAI and related tools
• Ensure system scalability, security, and performance in production
• Drive technical delivery in an agile environment

Skills

Go

Microservices

Java

Python

Generative AI

LangChain

LangGraph

OpenAI

Architecture

Agile leadership

Tools

Kubernetes

OpenShift

Docker

Terraform

GCP

Job description

Irving, , Texas Contract Sep 30, 2026

Lead Golang Developer

Irving, TX; Charlotte, NC; Columbus, OH

Job Description:

• 5 plus years of hands-on Go (Golang) development with strong backend/server-side expertise.
• Proven experience building microservices and large-scale enterprise applications.
• Strong Java experience: Python preferred.
• 3 plus years of Google Cloud (GCP) experience.
• Strong expertise in Kubernetes, OpenShift, Docker, and cloud-native architectures.
• Experience with Terraform and Infrastructure as Code.
• 2 plus years developing Generative AI solutions using OpenAI, LangChain, LangGraph, ADK, or similar frameworks.
• Strong architecture and design skills with focus on scalability, security, and performance.
• Hands-on self-starter capable of leading technical delivery in an agile environment.

Focus: 70% Go Development | 20% GCP and Kubernetes | 10% GenAI.

Pay Range: $75 - $80

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com

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During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

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