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Remote Python Mechanical Engineering Jobs in Los Angeles, CA

Mondo

Full Stack Engineer

Irvine, CA · Remote

$160K - $190K/yr

Remote (PST / MST / CST timezones; overlap with Australia required, especially in the first few ... engineering experience, with a backend-leaning but genuinely full-stack profile (Python and Django ...

SpaceX

Security Engineer (Blue Team)

Hawthorne, CA · On-site +1

$150K - $180K/yr

... engineering role in lieu of a degree * Experience with any modern programming language, including but not limited to: Python, Go, C++, Rust. PREFERRED SKILLS AND EXPERIENCE: * Experience performing ...

Amgen

Engineer

Thousand Oaks, CA · On-site +1

$102K - $117K/yr

Master's degree (or foreign equivalent) in Mechanical Engineering, Biomedical Engineering ... Flexible work models, including remote and hybrid work arrangements, where possible Apply now and ...

StudyGate, Inc.

Expert Tutor

Pasadena, CA · On-site +1

$18 - $35/hr

Electrical Engineering * Mechanical Engineering * Physics * Statistics & Probability Essential ... A GTA position or TA position in a Master's program (preferred) Additional Information Remote work ...

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All JobsPython Mechanical Engineering JobsRemote Python Mechanical Engineering JobsRemote Python Mechanical Engineering Jobs in Los Angeles, CA

Remote Python Mechanical Engineering information

See Los Angeles, CA salary details

$24.8K

$150.8K

$218.2K

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

As of Aug 23, 2026, the average yearly pay for remote python mechanical engineering in Los Angeles, CA is $150,820.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $177,200.00 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 popular job titles related to Remote Python Mechanical Engineering jobs in Los Angeles, CA?

For Remote Python Mechanical Engineering jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Remote Python Mechanical Engineering jobs in Los Angeles, CA look for?

The top searched job categories for Remote Python Mechanical Engineering jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Remote Python Mechanical Engineering jobs?

Cities near Los Angeles, CA with the most Remote Python Mechanical Engineering job openings:

Remote Python Mechanical Engineering jobs near you

Software Engineer - Platform Services

NextDeavor Inc.

Irvine, CA • Remote

$130K - $163K/yr

Contractor

Re-posted 16 hours ago

Job description

Software Engineer – Platform Services
Full-time
Remote
Exclusive confidential search — details shared with qualified applicants.
 
Become a Key Player as a Software Engineer – Platform Services

You will own and extend the foundational identity and authorization systems that enable multiple product teams to authenticate users, enforce access, and integrate reliably across a multi-tenant SaaS platform. You will work as an individual contributor on a small, high-output Platform Foundation team, collaborating with product teams and other engineers in a fully Remote model. Your work directly affects platform reliability, developer experience, and downstream product velocity.

Here's How You'll Make an Impact on the Team
  • Build and extend platform services that manage federated identity, authentication flows, and authorization enforcement across multiple products
  • Implement integrations with the centralized identity platform: token handling, session management, user provisioning, and tenant configuration
  • Design and implement backend service integrations (REST APIs, event-driven messaging, webhooks) in Python or .NET with multi-tenant scenarios in mind
  • Produce tooling, documentation, and examples to make integrations repeatable and self-service for product teams
  • Use AI-assisted development tools daily for code generation, design validation, test scaffolding, and investigation; contribute to AI harnesses and evaluation pipelines
  • Instrument services for observability (structured logging, metrics, alerting) and participate in on-call rotations and incident resolution
  • Participate in API design reviews, code reviews, and mentor junior engineers; contribute to runbooks and onboarding materials
Here's What You'll Need to Be Successful in This Role
  • 3–5 years of professional software engineering experience with demonstrated ability to own and deliver production features
  • Hands-on experience building backend services in .NET or Python, including RESTful API development
  • Demonstrated experience implementing or integrating with federated identity standards (OAuth 2.0, OIDC, SAML 2.0, JWT)
  • Practical understanding of authorization frameworks and token/session lifecycle considerations
  • Familiarity with multi-tenant SaaS integration patterns and tenant-scoped configuration
  • Working knowledge of cloud platforms (AWS preferred) and standard tooling: Git, CI/CD, Docker, automated testing
  • Active use of AI-assisted development tools as part of your daily workflow
  • Bachelor's degree in CS, Software Engineering, or equivalent experience (or equivalent demonstrated experience)
Here's What Else Might Help You Out
  • Prior experience with a commercial or open-source identity platform or enterprise SSO solution in an engineering capacity
  • Experience modeling and implementing fine-grained authorization (RBAC, ABAC, policy-based access control)
  • Experience in regulated environments (financial services/fintech) or exposure to SOC 2 from an engineering perspective
  • Experience contributing to AI harnesses, evaluation pipelines, or tooling that improves engineering throughput
Pay Range

$130K to $163K/year

Ready to Make Your Mark?

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