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Remote Python Automation Engineer Jobs in Los Angeles, CA

YO AI Labs

SolidWorks Expert - Remote

Los Angeles, CA · Remote

$40 - $130/hr

Reverse engineering (Scan-to-CAD). * Manufacturability analysis. * Python, iLogic, and VBA ... Experience with assembly-level design and CAD workflow automation using Python, iLogic, VBA, or ...

Calance US

IBM Z Engineer - 100% remote

Costa Mesa, CA · Remote

We are hiring IBM Z Engineer - 100% remote for a Contract position in remote, USA Overview A Linux ... Strong troubleshooting and scripting skills (Bash, Python, Ansible preferred). Understanding of ...

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All JobsPython Automation Engineer JobsRemote Python Automation Engineer JobsRemote Python Automation Engineer Jobs in Los Angeles, CA

Remote Python Automation Engineer information

See Los Angeles, CA salary details

$24.8K

$150.8K

$218.2K

How much do remote python automation engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote python automation engineer 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 a remote Python automation engineer?

A Remote Python Automation Engineer is a software professional who specializes in creating, maintaining, and improving automated processes and workflows using the Python programming language, all while working remotely. Their main responsibilities often include writing scripts to automate repetitive tasks, building test automation frameworks, integrating APIs, and optimizing system operations. They collaborate with teams virtually, making use of tools for version control, communication, and project management. This role requires strong Python skills, familiarity with automation tools like Selenium or PyTest, and the ability to work independently in a remote setting.

What are the key skills and qualifications needed to thrive as a remote Python automation engineer?

To thrive as a Remote Python Automation Engineer, you need strong programming skills in Python, expertise in automation frameworks, and a background in computer science or related fields. Familiarity with tools such as Selenium, PyTest, Jenkins, and cloud platforms, along with automation certifications, is often required. Exceptional problem-solving, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These abilities ensure efficient automation solutions, seamless integration with development teams, and successful delivery of high-quality software projects.

How does a remote Python automation engineer typically collaborate with cross-functional teams in a remote work environment?

As a Remote Python Automation Engineer, you'll frequently interact with developers, QA analysts, DevOps teams, and project managers using collaborative tools such as Slack, Jira, and GitHub. Effective communication is crucial for aligning on automation requirements, debugging issues, and deploying solutions. You'll often participate in virtual meetings, code reviews, and sprint planning sessions to ensure your automation scripts integrate seamlessly with broader workflows. Proactive documentation and regular updates help maintain transparency and foster smooth teamwork despite the physical distance.

What is the difference between Remote Python Automation Engineer vs Remote QA Automation Engineer?

AspectRemote Python Automation EngineerRemote QA Automation Engineer
Required CredentialsBachelor's in CS or related, Python proficiency, automation tools knowledgeBachelor's in CS or related, testing frameworks, scripting skills, Python often preferred
Work EnvironmentDevelops automation scripts, collaborates with development teams, uses Python-based toolsDesigns test cases, automates testing processes, uses testing frameworks and scripting
Employer & Industry UsageTech companies, software development, DevOps teamsSoftware companies, QA teams, product testing environments

The main difference is that Remote Python Automation Engineers focus on developing automation solutions using Python to streamline development and deployment processes, while Remote QA Automation Engineers concentrate on automating testing procedures to ensure software quality. Both roles require Python skills but serve different stages of the software lifecycle.

What are the most commonly searched types of Python Automation Engineer jobs in Los Angeles, CA?

The most popular types of Python Automation Engineer jobs in Los Angeles, CA are:

What are popular job titles related to Remote Python Automation Engineer jobs in Los Angeles, CA?

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

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

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

What cities near Los Angeles, CA are hiring for Remote Python Automation Engineer jobs?

Cities near Los Angeles, CA with the most Remote Python Automation Engineer job openings:

Remote Python Automation Engineer jobs near you

Senior Security Engineer (Remote)

Red Cup IT, Inc.

Los Angeles, CA • Remote

$117K - $160K/yr

Full-time

Re-posted 23 days ago

Job description

The role of a Senior Security Engineer in 2026 has evolved from a traditional "firewall gatekeeper" into a strategic architect and automation expert. With the rise of AI-driven threats and the death of the traditional network perimeter, this role now focuses heavily on Zero Trust, Cloud Sovereignty, and DevSecOps integration.

Role Overview

A Senior Security Engineer is responsible for designing, building, and maintaining the systems that protect an organization's digital assets. Unlike junior roles that focus on monitoring, the "Senior" level requires leading large-scale architecture projects, mentoring junior staff, and automating security responses to keep pace with AI-speed attacks.


Key Responsibilities
  • Security Architecture & Design: Architecting end-to-end security solutions for multi-cloud environments (AWS, Azure, GCP) and hybrid infrastructures.
  • Automation & DevSecOps: Embedding automated security scanning (SAST/DAST) into CI/CD pipelines so security is "baked in" rather than "bolted on."
  • Incident Leadership: Serving as the technical lead during high-severity security incidents and conducting advanced digital forensics.
  • AI Security Governance: Implementing guardrails for internal AI models and defending against AI-powered social engineering and deepfakes.
  • Vulnerability Management: Managing complex, risk-based vulnerability programs that prioritize threats based on actual business impact rather than just "high" CVSS scores.
  • Compliance & Data Sovereignty: Ensuring technical controls align with evolving global regulations like GDPR, NIST 800-53, and newer cloud sovereignty laws.
Technical Skills & RequirementsCategoryEssential Skills (2026 Standards)Cloud SecurityIdentity & Access Management (IAM), Infrastructure as Code (Terraform, Bicep), Cloud-Native SIEM.EngineeringProficiency in Python, Go, or Rust for building custom security tooling and automation.NetworkingDeep knowledge of Zero Trust Network Access (ZTNA), BGP, and Software-Defined Perimeter (SDP).Defensive OpsExpertise in SOAR (Security Orchestration, Automation, and Response) and XDR platforms.Modern CryptographyKnowledge of quantum-resistant algorithms and digital provenance protocols.Experience & Certifications

Years of Experience: Typically 510+ years in cybersecurity or high-level systems engineering.
Education: Bachelor's or Master's in Computer Science, Cybersecurity, or a related field.
Top Certifications:
-CISSP: Certified Information Systems Security Professional (The industry gold standard).

-OSCP / OSCE: Offensive Security certifications for deep technical testing skills.
-CCSP / AWS Certified Security: Specialized cloud security expertise.
-CASE: Certified Application Security Engineer (Focus on DevSecOps).