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Senior Python Game Developer Jobs in Centennial, CO

AI Python Sr. Developer

Denver, CO · On-site

$55 - $60/hr

AI Python Sr. Developer Experience: 8+ Years Location: Denver, CO (Onsite) Seeking an experienced AI Python Sr. Developer to design, develop, deploy, and govern scalable Agentic AI solutions using ...

... Game Developer, Data Engineer, Machine Learning Engineer, AI Engineer, Robotics Software Engineer ... Proficiency in Python, Java, or C++ * Knowledge of version control systems (e.g., Git) * Experience ...

Senior DevOps Engineer

Denver, CO · On-site

$133K - $171K/yr

Position: Senior DevOps Engineer Location: Denver, CO (Hybrid) Long Term Contract DUTIES AND ... Strong knowledge on common LINUX operating systems and Python scripting * Expert knowledge and use ...

Senior Software Developer

Denver, CO · On-site

$56 - $74/hr

They are seeking a Senior Software Developer to lead the design, development, and delivery of ... C#, .NET (Razor/Blazor), Python and JavaScript/Node.js • Collaborate with clients and ...

Senior Software Developer (Onsite)

Aurora, CO · On-site

$55.25 - $73/hr

Raytheon, the world's largest aerospace and defense company, is seeking a Senior Software Developer ... and Python • The ability to obtain and maintain a U.S. government issued TS/SCI security ...

Senior Engineer

Denver, CO · On-site

$107K - $147K/yr

... Python workflows - Control-M - FTP / Bank Sweep Required Qualifications - Python Not just scripting - actual ETL / data pipeline development - Comfortable with billions of records / massive data ...

New

Senior DevOps Engineer

Greenwood Village, CO · On-site

$131K - $169K/yr

As a Senior DevOps Engin eer , you will be a key technical contributor responsible for designing ... Strong background in software development, with experience in languages such as Python, .NET, or ...

Senior DevOps Engineer

Greenwood Village, CO · On-site

$131K - $169K/yr

As a Senior DevOps Engin eer , you will be a key technical contributor responsible for designing ... Strong background in software development, with experience in languages such as Python, .NET, or ...

Senior DevOps Engineer

Greenwood Village, CO

$131K - $169K/yr

As a Senior DevOps Engin eer , you will be a key technical contributor responsible for designing ... Strong background in software development, with experience in languages such as Python, .NET, or ...

Senior Software Developer

Denver, CO · On-site

$80K - $130K/yr

Overview We're hiring an experienced and motivated Senior Software Developer in our National ... Experience with Python preferred * Experience with JavaScript/TypeScript and Node JS. * Strong ...

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Senior Python Game Developer information

See Centennial, CO salary details

$56.6K

$146K

$200.6K

How much do senior python game developer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for senior python game developer in Centennial, CO is $146,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $168,200.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Game Developer vs Python Game Developer?

AspectSenior Python Game DeveloperPython Game Developer
Required Experience5+ years in game development, leadership skills1-3 years, entry to mid-level
ResponsibilitiesDesigning complex game systems, mentoringImplementing game features, coding
Work EnvironmentLarge game studios, collaborative teamsIndie projects, smaller teams
CertificationsRelevant game development certificationsBasic programming certifications

The main difference between a Senior Python Game Developer and a Python Game Developer lies in experience, responsibilities, and leadership roles. Senior developers typically have more years of experience, handle complex systems, and mentor junior staff, whereas Python Game Developers focus on coding and implementing features. Both roles are vital in game development, but the senior position involves more strategic oversight and expertise.

AI Python Sr. Developer

Swift Hire LLC

Denver, CO • On-site

$55 - $60/hr

Contractor

Posted 12 days ago


Job description

Title: AI Python Sr. Developer
Experience: 8+ Years
Location: Denver, CO (Onsite)
 
Seeking an experienced AI Python Sr. Developer to design, develop, deploy, and govern scalable Agentic AI solutions using Python, ADK, LLMs, multi-agent systems, GCP, Terraform, and CI/CD, while establishing architectural standards, AI governance, observability, and enterprise-grade AI application delivery.
 
Responsibilities –
·       AI Agent Development (40%) Design, develop, and maintain AI agents and AI-powered applications using Python and ADK. Develop reusable agent frameworks, orchestration workflows, and integrations. Build intelligent workflows leveraging LLMs, RAG, tool calling, and multi-agent systems.
·       Ensure reliability, scalability, observability, and performance of AI agents. Cloud Deployment & Operations (25%) Deploy, monitor, and optimize AI applications and agents on Google Cloud Platform. Manage cloud-native services, APIs, compute resources, and AI infrastructure. Implement monitoring, logging, security, and operational best practices. Optimize infrastructure and application performance for cost and efficiency.
·       Collaboration & Integration (15%) Partner with data scientists, analysts, architects, and business stakeholders.
·       Translate business requirements into AI-enabled technical solutions. Integrate AI agents into existing enterprise applications and workflows. Participate in solution design, architecture reviews, and stakeholder discussions. Infrastructure Automation (10%) Develop Infrastructure as Code (IaC) solutions using Terraform. Automate environment provisioning, deployments, and cloud configurations.
·       Implement CI/CD pipelines supporting AI application lifecycles. Quality Engineering & Continuous Improvement (5%) Perform unit testing, integration testing, and troubleshooting. Improve agent evaluation, observability, and operational excellence.
·       Resolve production issues and optimize solution performance. Other Duties (5%) Support innovation initiatives and continuous learning. Contribute to AI best practices, standards, and reusable frameworks.

Educational Qualifications: -
Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
 
Skills: -
Mandatory skills
·       Programming & Development Python (Expert level) Object-Oriented Programming (OOP) REST API Development Microservices Architecture Git / GitHub Agentic AI & Generative AI Agent Development Kit (ADK) Agentic AI solutions Multi-Agent Systems
·       Prompt Engineering LLM Integration (Gemini, OpenAI, Claude, etc.) Tool Calling and Function Calling AI Agent Orchestration Frameworks Google Cloud Platform (GCP) Vertex AI Cloud Run Cloud Functions Cloud Storage Pub/Sub BigQuery IAM Monitoring & Logging Cloud Build Infrastructure & DevOps Terraform CI/CD Pipelines Docker Kubernetes (GKE) Infrastructure as Code (IaC) Testing & Operations Unit Testing Integration
·       Testing Debugging & Troubleshooting Performance Optimization Monitoring & Observability L4 – L7 (Tech Lead → Architect → Principal)
·       Proven experience architecting and delivering systems using agentic IDEs Ability to: • Define architectural intent that agents can follow
·       Break features into agent executable tasks
·       Govern AI autonomy (guardrails, permissions, reviews) • Integrate agentic workflows into CI/CD pipelines Experience supervising AI agents across:
·       Multi service systems • Legacy modernization • Large codebases / monorepos Strong understanding of: • Security implications of autonomous code execution • Compliance, auditability, and traceability
·       AI assisted SDLC operating models Core Responsibility: • Guide effective use of agentic IDEs for complex, multi-module or cross-service changes • Establish review practices and quality checks for AI-generated code
·       Mentor team members on balancing autonomy, correctness, and maintainability in AI-assisted development • Design system architectures that support AI-augmented and agentic development workflows
·       Define guardrails, standards, and governance for the use of autonomous coding agents • Evaluate impact of agentic IDEs on SDLC, CI/CD pipelines, security posture, and technical debt