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Remote Python Mechanical Engineering Jobs in Denver, CO

Mondo

Sr Backend Engineer

Denver, CO · Remote

$185K - $230K/yr

Remote Start Date: Flexible Duration: Permanent Compensation: $185,000 - $230,000 base equity ... Partner with engineering leadership on architecture, scalability, and security initiatives Minimum ...

JCD Staffing

Platform Engineer

Aurora, CO · On-site +1

Denver, CO preferred (Hybrid) | Also open to San Antonio, TX, Brooklyn, NY, or Remote (US-based ... Partner with Product, Operations, and Engineering leadership on roadmap execution * Mentor ...

Mondo

Network System Engineer

Denver, CO · Remote

$115K - $140K/yr

Hybrid onsite in Denver, Colorado (two days onsite, three days remote) Start Date: ASAP Duration ... Develop and maintain scripts (PowerShell, Python) to automate patch deployment, GPO management, and ...

Loenbro

Integration Developer

Westminster, CO · Remote

$50.75 - $67.25/hr

Remote Reports to: Director, Business Systems Employment Type: Full-Time FLSA Classification ... Our market spans all industries, and our service offerings include Critical Electrical, Mechanical ...

New

Isys Technologies

Flight Software Test Engineer

Littleton, CO · On-site +1

$120K - $128K/yr

... engineering applications, I2X is ready to offer you the chance to make a real-world impact in your ... This position will be *on-site or remote*. Responsibilities: * Work with GNCP (Guidance, Navigation ...

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All JobsPython Mechanical Engineering JobsRemote Python Mechanical Engineering JobsRemote Python Mechanical Engineering Jobs in Denver, CO

Remote Python Mechanical Engineering information

See Denver, CO salary details

$23.7K

$144.1K

$208.4K

How much do remote python mechanical engineering jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote python mechanical engineering in Denver, CO is $144,069.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $169,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Python Mechanical Engineering vs Remote Mechanical Design Engineer?

AspectRemote Python Mechanical EngineeringRemote Mechanical Design Engineer
Required CredentialsEngineering degree, Python programming skills, mechanical knowledgeEngineering degree, CAD software proficiency, mechanical design skills
Work EnvironmentSoftware development, coding, data analysisDesign, CAD modeling, prototype development
Employer & Industry UsageTech companies, engineering firms, product developmentManufacturing, automotive, aerospace, product design
Search & Comparison IntentTechnical coding roles, remote Python jobs in engineeringDesign-focused remote mechanical engineering roles

Remote Python Mechanical Engineering involves coding, data analysis, and software development using Python in a mechanical context. In contrast, Remote Mechanical Design Engineers focus on CAD modeling, designing mechanical components, and prototype creation. Both roles require engineering backgrounds but differ in daily tasks and skill sets, catering to different aspects of mechanical engineering projects.

What are the most commonly searched types of Python Mechanical Engineering jobs in Denver, CO?

The most popular types of Python Mechanical Engineering jobs in Denver, CO are:

What are popular job titles related to Remote Python Mechanical Engineering jobs in Denver, CO?

For Remote Python Mechanical Engineering jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Remote Python Mechanical Engineering jobs in Denver, CO look for?

The top searched job categories for Remote Python Mechanical Engineering jobs in Denver, CO are:

What cities near Denver, CO are hiring for Remote Python Mechanical Engineering jobs?

Cities near Denver, CO with the most Remote Python Mechanical Engineering job openings:

Remote Python Mechanical Engineering jobs near you
Infographic showing various Remote Python Mechanical Engineering job openings in Denver, CO as of August 2026, with employment types broken down into 69% Full Time, 16% Part Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $144,069 per year, or $69.3 per hour.

Sr Backend Engineer

Mondo

Denver, CO • Remote

$185K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

Job Title: Sr Technical Lead (AI Systems) Location: Remote Location Type: Remote Start Date: Flexible Duration: Permanent Compensation: $185,000 - $230,000 base equity Benefits: Eligible for Health, Dental, Vision, 401K, PTO Must be authorized to work in the U.S. This position is not eligible for sponsorship.

Job Description:Our client is a fast-growing AI-driven startup building infrastructure to support next-generation AI and agent-based systems. They are seeking a Senior DevOps / Infrastructure Engineer to strengthen the cloud, security, and operational foundations supporting their AI initiatives. This role focuses on infrastructure, automation, and distributed systems rather than feature development, partnering closely with engineering leadership on architecture and scalability.

Day-to-Day Responsibilities:

  • Support AI and agent-based initiatives across the organization
  • Build and improve infrastructure supporting AI systems and agent frameworks
  • Design, implement, and maintain cloud infrastructure within Azure
  • Support DevOps initiatives including deployment pipelines, automation, monitoring, and reliability
  • Help establish security, governance, and operational best practices around AI systems
  • Work with Kubernetes and distributed computing environments
  • Automate operational and infrastructure workflows using AI where applicable
  • Partner with engineering leadership on architecture, scalability, and security initiatives

Minimum Requirements:

  • Strong DevOps and/or Security Engineering background
  • Deep AWS or GCP experience
  • Strong Kubernetes experience
  • Distributed computing experience
  • Python experience
  • Startup experience
  • Experience supporting systems at scale
  • Experience leveraging AI to automate workflows and processes
  • Strong understanding of system architecture and engineering fundamentals
  • Ability to work beyond AI-assisted development and understand underlying systems
Preferred Qualifications:
  • Security engineering specialization
  • AI governance experience
  • Experience with agent frameworks
  • Azure AI services experience
  • Startup or high-growth SaaS experience
  • Cloud security and infrastructure hardening experience