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Sr Python Engineer Jobs in Colorado (NOW HIRING)

Comcast

Sr. Data Python Engineer - FreeWheel

Englewood, CO · On-site

$135K - $203K/yr

Role Overview We are seeking a Senior Software Engineer to drive the design, performance, and ... Strong proficiency in Python and microservices‑based architectures * Hands‑on experience with ...

Accenture

Senior Advanced AI Research Engineer

Denver, CO · On-site

$107K - $147K/yr

You Are: As a Senior Advanced AI Research Engineer, you sit at the boundary between AI systems ... You are a strong Python engineer who can move fluently between an experiment and a well-structured ...

Geneva Technologies Inc.

Be Seen First

Senior Electrical Engineer

Monument, CO · On-site

$100K - $150K/yr

Geneva Technologies Inc. (GTI) is seeking senior electrical engineers to become an integral part of ... Data analysis and scripting skills, Matlab and/or Python programming * Some travel required, less ...

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Geneva Technologies Inc.

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Senior Electrical Engineer

Monument, CO · On-site

$100K - $150K/yr

Geneva Technologies Inc. (GTI) is seeking senior electrical engineers to become an integral part of ... Data analysis and scripting skills, Matlab and/or Python programming * Some travel required, less ...

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Sr Python Engineer information

What does a Sr Python Engineer do?

A Sr Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often lead projects, mentor junior engineers, and work on complex problems that require deep technical expertise. Their responsibilities may include writing efficient code, optimizing performance, integrating with APIs or databases, and ensuring the overall quality of software solutions. Additionally, they may collaborate with cross-functional teams to deliver robust and scalable applications.

What are the key skills and qualifications needed to thrive as a Sr Python Engineer?

To thrive as a Sr Python Engineer, you need advanced proficiency in Python programming, strong knowledge of software design patterns, and experience with scalable application development, often supported by a degree in computer science or related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and cloud platforms like AWS or Azure is typically required, with certifications in cloud or Python development considered a plus. Excellent problem-solving abilities, strong communication, and leadership skills help you collaborate effectively and mentor junior engineers. These competencies are critical for delivering robust, efficient solutions and driving technical excellence within development teams.

What are some common challenges Sr Python Engineers face when working on large-scale applications?

Sr Python Engineers often encounter challenges related to maintaining code quality and scalability as applications grow. Managing dependencies, ensuring optimal performance, and coordinating with cross-functional teams can be complex, especially in distributed systems. Additionally, integrating new technologies or frameworks while maintaining backward compatibility requires careful planning and communication. Proactive code reviews, clear documentation, and collaborative problem-solving are essential to overcoming these challenges.

What is the difference between Sr Python Engineer vs Python Developer?

AspectSr Python EngineerPython Developer
Required CredentialsBachelor's degree in CS or related field, experience in Python, often some leadership skillsBachelor's degree in CS or related field, strong Python skills, often less emphasis on leadership
Work EnvironmentTeam lead, project architect, involved in system design and optimizationCode writing, feature development, bug fixing
Employer & Industry UsageTech companies, startups, enterprise softwareWeb development, data analysis, automation projects

While both roles require strong Python skills, Sr Python Engineers typically have more experience, leadership responsibilities, and involvement in system architecture, whereas Python Developers focus more on coding and feature implementation.

What are popular job titles related to Sr Python Engineer jobs in Colorado?

For Sr Python Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Sr Python Engineer jobs in Colorado look for?

The top searched job categories for Sr Python Engineer jobs in Colorado are:

Sr Python Engineer jobs near you
Infographic showing various Sr Python Engineer job openings in Colorado as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Gen AI Sr. Engineer (Vertex AI / Python / ADK)

VeeRteq Solutions Inc.

Denver, CO • On-site

Contractor

Posted 3 days ago

New

Job description

Role: Gen AI Sr. Engineer (Vertex AI / Python / ADK)

Experience: - Min 8+ Years

Location: - Denver, CO (Onsite)

Seeking an experienced Gen AI Sr. Engineer 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

Skills

GenAI, AgenticAI, Python, ADK, VertexAI, Cloud

VeeRteq Solutions is an Equal Opportunity Employer