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Github Software Engineer Jobs in Dallas, TX (NOW HIRING)

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

AI Software Engineer Location: Plano, TX (Hybrid - onsite required) Duration: 6+ Months Contract to ... Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions * Collaborate with cross ...

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

AI Software Engineer Location: Plano, TX (Hybrid - onsite required) Duration: 6+ Months Contract to ... Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions * Collaborate with cross ...

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

AI Software Engineer Location: Plano, TX (Hybrid - onsite required) Duration: 6+ Months Contract to ... Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions * Collaborate with cross ...

Software Engineer 3

Irving, TX · On-site

$55.25 - $74.25/hr

* 3+ years of Software Engineering experience, or equivalent demonstrated through one or a ... Support CI/CD delivery pipelines using GitHub Actions and Jenkins * Deploy and operate solutions on ...

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

AI Software Engineer Location: Plano, TX (Hybrid - onsite required) Duration: 6+ Months Contract to ... Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions * Collaborate with cross ...

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

AI Software Engineer Location: Plano, TX (Hybrid - onsite required) Duration: 6+ Months Contract to ... Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions * Collaborate with cross ...

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

AI Software Engineer Location: Plano, TX (Hybrid - onsite required) Duration: 6+ Months Contract to ... Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions * Collaborate with cross ...

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

AI Software Engineer Location: Plano, TX (Hybrid - onsite required) Duration: 6+ Months Contract to ... Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions * Collaborate with cross ...

AI Software Engineer

Plano, TX · On-site

$100 - $150/hr

  • Medical

  • PTO

Scion Staffing has been engaged to conduct a search for a Full Stack Software Engineer for an ... Experience utilizing AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or ...

Software Engineer

Plano, TX · On-site

  • Medical

  • Retirement

  • PTO

What You'll Be Doing As a Software Engineer , you will: * Implement features and services using ... Experience using AI-assisted coding tools (e.g., GitHub Copilot) What We'll Bring During your ...

Lead Software Engineer

Westlake, TX · On-site

$100 - $130/hr

Lead Software Engineer Lead Engineer at Solera, a global leader in data and software services, will ... g., GitHub Copilot, Cursor). Bonus Skills * Experience with GraphQL, WebSocket, or SignalR.

Showing results 41-60

Github Software Engineer information

See Dallas, TX salary details

$63.1K

$146.6K

$204.2K

How much do github software engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for github software engineer in Dallas, TX is $146,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $171,900.00 per year, depending on experience, location, and employer.

What does a typical day look like for a GitHub software engineer?

A typical day for a Github Software Engineer involves collaborating with team members through code reviews, participating in daily standup meetings, and working on new feature development or maintenance of existing systems. You’ll frequently interact with cross-functional teams, including product managers and designers, to deliver improvements and solve technical challenges efficiently. Expect to spend significant time coding, troubleshooting issues, and utilizing tools like GitHub Actions for automation and deployment. Continuous learning and staying up-to-date with open-source trends are also common, as Github encourages innovation and personal growth within its engineering teams.

What are the key skills and qualifications needed to thrive in the GitHub software engineer position, and why are they important?

To thrive as a Github Software Engineer, you typically need strong proficiency in programming languages like Python, Ruby, or Go, experience with distributed systems, and a degree in computer science or related field. Familiarity with tools such as Git, GitHub Actions, Docker, and CI/CD pipelines is essential, along with knowledge of cloud infrastructure and agile development practices. Excellent collaboration, problem-solving skills, and the ability to communicate complex technical ideas clearly are valuable in this position. These competencies ensure smooth product development, efficient team workflows, and the delivery of high-quality software to a global user base.

What is a GitHub software engineer?

A GitHub Software Engineer is responsible for developing and maintaining software solutions that enhance GitHub’s platform and services. They work with various programming languages, contribute to open-source projects, and collaborate with teams to improve developer workflows. Their role involves coding, debugging, reviewing pull requests, and optimizing performance for millions of users worldwide.

What are the most commonly searched types of Github Software Engineer jobs in Dallas, TX?

The most popular types of Github Software Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Github Software Engineer jobs?

Cities near Dallas, TX with the most Github Software Engineer job openings:

Infographic showing various Github Software Engineer job openings in Dallas, TX as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $145,997 per year, or $70.2 per hour.

Senior Software Engineer - AI-First Development

Wise Skulls

Plano, TX • On-site

$117K - $154K/yr

Contractor

Posted 17 days ago


Job description

Title: IT - Senior Software Engineer - AI-First Development
Location: Plano, TX - 100% Onsite
Duration: 6+ months
Implementation Partner: Infosys
End Client: To be disclosed
JD:
Position Summary
  • We are seeking a highly skilled Senior Software Engineer - AI-First Development who is
  • passionate about building modern, scalable software while leveraging Artificial Intelligence to
  • dramatically improve engineering productivity.
  • This is a hands-on engineering role for someone who embraces AI-first software development,
  • automates repetitive engineering tasks, and takes end-to-end ownership of the services they build.
  • The ideal candidate is an expert in Java, Python, Azure, Azure Databricks, Microservices,
  • and modern SDLC practices, with proven experience delivering cloud-native enterprise
  • applications. Beyond technical expertise, we are looking for an engineer who actively uses AI to
  • accelerate software delivery, improve code quality, automate engineering workflows, and
  • increase developer productivity.

Key Responsibilities
  • Software Development Design, develop, and maintain scalable, cloud-native applications and microservices.
  • Develop enterprise applications using Java and Python.
  • Build modern cloud-native solutions on Microsoft Azure.
  • Design and implement secure RESTful APIs and distributed systems.
  • Develop data-intensive applications leveraging Azure Databricks, Apache Spark, andDelta Lake.
  • Deliver production-ready software following Agile and DevOps best practices.
  • Take complete ownership of services throughout design, development, deployment, monitoring, and production support.

AI-First Engineering
  • Leverage AI-powered development tools to improve software delivery speed, quality, and consistency.
  • Build reusable AI workflows that automate repetitive engineering activities.
  • Continuously identify opportunities to improve developer productivity using AI.
  • Stay current with emerging AI technologies and integrate them into daily engineering practices.
  • Promote responsible and effective AI adoption across the engineering team.

Developer Productivity & Automation
Develop AI-driven solutions to automate:.
  • Code generation
  • Unit and integration testing
  • Code reviews
  • Documentation generation
  • Debugging and root cause analysis
  • Refactoring
  • CI/CD pipeline creation
  • Release automation
  • Production support automation
  • Developer onboarding
  • Knowledge sharing
  • Routine engineering and operational tasks

Collaboration
  • Work closely with architects, product owners, QA, DevOps, and business stakeholders.
  • Collaborate effectively with onsite and offshore engineering teams.
  • Participate in architecture discussions, code reviews, sprint planning, and technical design sessions.
  • Mentor junior and mid-level engineers while promoting engineering excellence and AI adoption.

Must-Have Skills (Required)
Candidates must demonstrate strong hands-on experience in the following area:
Core Programming
  • Expert-level Java (7+ years)
  • Strong Python development (4+ years)
  • Object-Oriented Design (OOD) & Design Patterns
  • Spring Boot
  • RESTful API Development
  • Data Structures & Algorithms

Cloud & Data Engineering
  • Microsoft Azure
  • Azure Databricks
  • Apache Spark (PySpark / Spark SQL)
  • Delta Lake
  • Azure Data Factory (ADF)
  • Azure Storage (ADLS Gen2 / Blob Storage)
  • SQL and Data Modeling
  • Databases
  • Microsoft SQL Server
  • Couchbase
  • Azure Cosmos DB or MongoDB
  • Architecture & Microservices
  • Microservices Architecture
  • Distributed Systems
  • Event-Driven Architecture
  • REST API Design
  • Messaging (Kafka / Azure Event Hub / Azure Service Bus)
  • Redis Caching

DevOps & Modern SDLC
  • Git
  • CI/CD Pipelines
  • Azure DevOps and/or GitHub Actions
  • Docker
  • Kubernetes
  • Automated Testing
  • Secure SDLC
  • Agile / Scrum

AI-First Software Development
Candidates should demonstrate practical, day-to-day use of AI to improve software engineering
productivity.
  • GitHub Copilot
  • Cursor
  • Claude Code
  • ChatGPT
  • AI-Assisted Code Generation
  • AI-Assisted Unit Test Generation
  • AI-Assisted Debugging
  • AI-Assisted Refactoring
  • AI-Assisted Documentation
  • Prompt Engineering
  • AI Workflow Automation
  • AI Agents for Software Engineering
  • Model Context Protocol (MCP)
  • Retrieval-Augmented Generation (RAG)

Ownership & Collaboration
  • End-to-end ownership of services from design through production support
  • Strong troubleshooting and production support experience
  • Strong analytical and problem-solving skills
  • Excellent communication and interpersonal skills
  • Experience working effectively with onsite and offshore engineering teams
  • Strong collaboration, mentoring, and code review experience
  • Passion for continuous learning and AI adoption

Nice-to-Have Skills
  • Microsoft Fabric
  • Azure AI Foundry
  • Azure OpenAI / OpenAI APIs
  • Infrastructure as Code (IaC)
  • LangChain or similar AI orchestration frameworks
  • Vector databases
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • Observability tools (Grafana, Prometheus, Azure Monitor, Application Insights)
  • Power BI or Tableau

Required Qualifications
  • Bachelor's degree in computer science, Engineering, or a related field, or equivalent
  • practical experience.
  • 7+ years of professional software development experience.
  • Strong expertise in Java and Python.
  • Hands-on experience with Microsoft Azure.
  • Strong experience with Azure Databricks, Apache Spark, and Delta Lake.
  • Proven experience designing and developing enterprise-grade microservices and REST APIs.
  • Strong understanding of distributed systems and cloud-native architectures.
  • Experience with Docker, Kubernetes, CI/CD, and DevOps practices.
  • Experience with Git, automated testing frameworks, and Agile software development.
  • Excellent analytical, debugging, and problem-solving skills.
  • Strong verbal and written communication skills.

What Success Looks Like
The successful candidate will:
  • Deliver scalable, high-quality enterprise software with speed and reliability.
  • Leverage AI to significantly improve engineering productivity and software quality.
  • Continuously automate repetitive engineering tasks and workflows.
  • Take full ownership of applications and services from design through production.
  • Collaborate effectively across onsite and offshore teams.
  • Mentor fellow engineers and promote engineering excellence.
  • Continuously evaluate and adopt emerging AI technologies to improve software delivery.

The Ideal Candidate
  • You are an engineer who thinks beyond writing code-you improve how software is built. You embrace ownership, enjoy solving complex technical challenges, and leverage AI as a force multiplier to deliver better software faster.
  • You have a passion for continuous learning, thrive in collaborative environments, and are excited to help shape the future of AI-assisted software engineering while building scalable enterpriseapplications.