1

Github Software Engineer Jobs (NOW HIRING)

Software Engineer

Lakehurst, NJ · On-site

$80K - $120K/yr

Description SAIC is currently seeking Software Engineers to join our team in Lakehurst, NJ. All ... Expertise in Jenkins, GitLab CI, Azure DevOps Pipelines, or GitHub Actions. * Scripting:

Lead Software Engineer

Chicago, IL · On-site

$140K - $180K/yr

Lead Software Developer Valorem Reply is an award-winning digital transformation firm focused on ... Establish and maintain CI/CD pipelines using GitHub or Azure DevOps. * Use and promote AI-assisted ...

Marble is seeking a full-time Software Engineer who is ready for a challenge and eager to design ... Participate in the continuous integration and deployment processes using GitHub workflows * Support ...

Software Engineer(Devops)||Remote-GA|| Responsibilities • Design, develop, and maintain Developer ... Preferred qualifications: • Familiarity with Al and machine learning tools such as GitHub Copilot ...

Demonstrated experience managing source code in Github and Gitlab. * Demonstrated experience ... Demonstrated experience in software engineering and development * Demonstrated experience ...

Marble is seeking a full-time Software Engineer who is ready for a challenge and eager to design ... Participate in the continuous integration and deployment processes using GitHub workflows * Support ...

GitHub Implementation Engineer

New York, NY · On-site

$57.75 - $79/hr

Key Skills & Experience: * 4-6 years of experience in DevOps, CI/CD, or Software Engineering roles. * Hands-on experience with GitHub Actions, GitHub Enterprise, or similar platforms. * Strong ...

Software Engineer (ProjectSight) Are you driven to build exceptional software that solves real ... Actively leverage AI-powered development tools (e.g., GitHub Copilot, Amazon CodeWhisperer) in your ...

They are seeking a Senior Software Engineer to join their Data Engineering team, responsible for ... Jenkins, Github Actions, Azure Devops etc. • Experience with AWS components such as Lambda ...

Software Engineer (ProjectSight) Are you driven to build exceptional software that solves real ... Actively leverage AI-powered development tools (e.g., GitHub Copilot, Amazon CodeWhisperer) in your ...

Software Engineer

Austin, TX · On-site

$90K - $120K/yr

GitHub PROCESS: JIRA, Confluence, GitHub WHAT IS EXPECTED OF YOU * Work effectively with a team of 3-5 other developers, QA, Scrum, Design, and Product to build an amazing software product. * Push to ...

We are seeking a Lead Software Developer to design and deliver modern software systems. This role ... Establish and maintain CI/CD pipelines using GitHub or Azure DevOps. Use and promote AI-assisted ...

We are seeking a Lead Software Developer to design and deliver modern software systems. This role ... Establish and maintain CI/CD pipelines using GitHub or Azure DevOps. Use and promote AI-assisted ...

Proficiency with CI/CD tools (e.g., Jenkins, GitHub Actions) and source control (Git) * Exposure to ... JOB TITLE Software Engineer JOB FAMILY Software Engineering LOCATION 280 Congress Not sure you meet ...

Software Engineer

Columbus, OH · On-site

$69 - $74/hr

Software Engineer, DevOps / Platform Engineering Locations: Columbus, OH; Charlotte, NC Work Model ... Design and enable end-to-end CI/CD workflows integrating infrastructure automation with GitHub ...

We are seeking a Lead Software Developer to design and deliver modern software systems. This role ... Establish and maintain CI/CD pipelines using GitHub or Azure DevOps. Use and promote AI-assisted ...

next page

Showing results 1-20

Github Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

How much do github software engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for github software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 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 job?

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 engineers make $500,000?

Senior software engineers, especially those working at large tech companies or in specialized fields like machine learning or cloud infrastructure, can earn $500,000 or more annually. High compensation often includes base salary, bonuses, and stock options, and typically requires extensive experience, advanced skills, and a strong track record of performance.

How much do GitHub software engineers make?

GitHub software engineers typically earn between $100,000 and $180,000 annually, depending on experience, location, and role level. Compensation may include base salary, bonuses, and stock options, especially for senior positions or those working on core platform features.

How hard is it to get hired at GitHub?

Getting hired as a GitHub Software Engineer is competitive, often requiring strong programming skills, experience with relevant technologies like Git, and a solid understanding of software development practices. Candidates typically go through multiple interview rounds, including coding challenges and technical assessments, to demonstrate their expertise.

Can I make 200k a year as a software engineer?

Software engineers can earn $200,000 or more annually, especially with experience, specialized skills, and working in high-paying industries or locations. Senior roles, expertise in areas like cloud computing or machine learning, and working at large tech companies or startups can contribute to reaching this salary level.
What cities are hiring for Github Software Engineer jobs? Cities with the most Github Software Engineer job openings:
What are the most commonly searched types of Github Software Engineer jobs? The most popular types of Github Software Engineer jobs are:
What states have the most Github Software Engineer jobs? States with the most job openings for Github Software Engineer jobs include:
Infographic showing various Github Software Engineer job openings in the United States as of June 2026, with employment types broken down into 20% Full Time, 66% Part Time, 1% Temporary, 11% Contract, and 2% Nights. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Other

Posted 17 days ago


Job description

Senior AI/ML Software Developer

Location: Austin, TX (Onsite)

Position Type: Long-Term Contract

Industry: Artificial Intelligence / Public Sector


Overview

We are seeking an experienced Senior AI/ML Software Developer to support cutting-edge artificial intelligence initiatives focused on transportation engineering, digital delivery, automation, and infrastructure modernization.


This role will transform existing AI proof-of-concepts into scalable, enterprise-grade applications that support engineering workflows such as automated quantity extraction, plan review automation, asset detection, model ingestion, digital twins, and intelligent decision support systems.


The ideal candidate combines strong software engineering expertise with hands-on AI/ML experience and a passion for building production-ready applications that deliver real-world impact.


Key Responsibilities

AI & Machine Learning Development

Design, develop, and deploy production-ready AI and machine learning solutions

Extend existing proof-of-concept applications into enterprise-scale platforms

Build AI-powered applications supporting:

Plan review automation

Digital delivery initiatives

Roadway asset detection

Engineering workflow automation

Intelligent data processing

Develop and optimize machine learning pipelines for production environments

LLM & Generative AI Solutions


Build and deploy:

Retrieval-Augmented Generation (RAG) systems

Prompt engineering solutions

Fine-tuned LLM applications

AI copilots and intelligent assistants


Work with:

Hugging Face

Ollama

GPT-style models

Open-source LLM ecosystems

Computer Vision & Analytics

Develop computer vision solutions utilizing:

PyTorch

TensorFlow

OpenCV

YOLO


Implement:

Object detection

Image segmentation

Real-time inference solutions

Support infrastructure and transportation-related image analytics initiatives

Cloud, DevOps & MLOps

Deploy and manage AI workloads across cloud platforms including:

Azure AI Services

AWS SageMaker / Bedrock

Google Vertex AI

OCI AI Services

Build and maintain CI/CD pipelines for AI application delivery


Utilize:

Docker

Kubernetes

Ansible

GitHub Actions

Azure DevOps

Jenkins

Implement MLOps best practices using:

MLflow

Kubeflow

Airflow

Weights & Biases


Required Qualifications

8+ years of software engineering experience

8+ years of experience with:

Cloud platforms (AWS, Azure, GCP, OCI)

CI/CD pipelines

Docker and Kubernetes

SQL and NoSQL databases

Bash and PowerShell scripting

3+ years of production experience with:

Python

AI/ML model development and deployment

NLP and Large Language Models (LLMs)

Computer Vision

Time Series Modeling

Recommender Systems

MLOps platforms

Distributed model training

Experience deploying machine learning solutions serving real users in production environments


Preferred Qualifications


Experience with:

GIS and geospatial data analysis

Transportation, logistics, or smart city technologies

Infrastructure asset management systems

Digital twin technologies

Unreal Engine

Google Maps APIs

Cesium

Polygonflow Dash

Experience working in government or highly regulated environments

Understanding of public sector security, compliance, and governance requirements

Technical Environment

Python

Azure AI

AWS SageMaker

AWS Bedrock

Google Vertex AI

OCI AI Services

Hugging Face

Ollama

PyTorch

TensorFlow

OpenCV

YOLO

Kubernetes

Docker

MLflow

Kubeflow

Airflow

PostgreSQL

MySQL

Vector Databases

GitHub Actions

Azure DevOps

Jenkins

Work Environment

Hybrid schedule

Minimum 4 days onsite in Austin, TX

Standard business hours with occasional evening or weekend support as needed

Opportunity to work on innovative AI initiatives impacting statewide transportation operations

Ideal Candidate

Strong software engineer with deep AI/ML expertise

Passionate about turning prototypes into scalable enterprise solutions

Experienced building production AI systems, not just research models

Comfortable collaborating with engineers, architects, and business stakeholders

Excited about applying AI to solve real-world infrastructure and transportation challenges