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Python Certification Jobs in Irvine, CA (NOW HIRING)

SRE AIops Engineer (AWS)

Irvine, CA ยท On-site

$61.25 - $81.25/hr

Reduce operational toil by building automation tools and utilities in Python or Go. Must-Have ... Certified Kubernetes Administrator (CKA)

... using Ansible, Bash, Python, and CI/CD integrations to accelerate platform provisioning and ... Comp TIA Sec+ and one of the following Red Hat Certified Engineer (RHCE) or Red Hat Certified ...

Senior Manufacturing Test Engineer

Irvine, CA ยท On-site

$110K - $135K/yr

... Python, SQL, Pandas) * Experience with MES systems and digital manufacturing integration * Medical device or highly regulated industry experience * Lean / Six Sigma certification (Black Belt ...

Cybersecurity certifications are a plus (e.g., OSCP, CRTO, GREM, GCFA, CEH, and similar). Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to ...

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Python Certification information

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How much do python certification jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for python certification in Irvine, CA is $62.92, according to ZipRecruiter salary data. Most workers in this role earn between $51.88 and $71.49 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on after earning a Python certification?

After earning a Python certification, you can expect to work on a variety of projects, ranging from web application development to data analysis and automation tasks. Many teams utilize Python for scripting workflows, managing databases, building APIs, or developing machine learning models. The exact nature of your work will often depend on the industry and organization, but collaboration with other developers, data analysts, or IT professionals is common. Certified Python professionals are frequently trusted with higher responsibility, including contributing to code reviews and designing scalable solutions.

What is the difference between Python Certification vs Data Analyst?

AspectPython CertificationData Analyst
Required CredentialsCertification in Python programmingDegree in Data Science, Statistics, or related field
Work EnvironmentSoftware development, automation, scriptingData analysis, reporting, business insights
Industry UsageTech, finance, automationBusiness, marketing, finance
Search & Comparison IntentLearning Python skills, certification benefitsUnderstanding roles, skills, and certifications for data analysis

Python Certification focuses on validating Python programming skills, often used in software development and automation. Data Analysts utilize Python for data manipulation and analysis but typically require a broader skill set including statistical knowledge and domain expertise. While Python Certification enhances technical credentials, Data Analyst roles emphasize a combination of technical and analytical skills. Both are valuable in data-driven industries, but they serve different career paths and skill requirements.

What can you do with a certificate in Python?

A Python certification can qualify you for roles such as Python developer, data analyst, or automation engineer. It demonstrates proficiency in programming, scripting, and problem-solving, often enabling work in software development, data analysis, machine learning, and automation tasks.

Are Python still in demand in 2026?

Python certification remains highly valuable for developers, data scientists, and automation specialists, as Python continues to be widely used across industries for web development, data analysis, machine learning, and scripting. Its versatility, extensive libraries, and strong community support contribute to sustained demand for Python skills in the job market through 2026.

What kind of job can I get with Python?

Python certification can qualify you for roles such as Python developer, data analyst, data scientist, automation engineer, or backend developer. These jobs often require knowledge of libraries like Pandas, NumPy, or frameworks such as Django and Flask, and may involve working in environments like cloud platforms or data centers.

What is a Python certification and why is it important?

A Python certification is an official credential that demonstrates a person's proficiency and knowledge in the Python programming language. Earning a certification can help validate your skills to employers, making you stand out in the job market. It often covers topics such as syntax, data structures, algorithms, and usage of Python libraries. Obtaining a certification can also provide structured learning and boost your confidence in applying Python in real-world projects. While not always required, it can be particularly beneficial for those new to programming or seeking to advance their careers.

What are the key skills and qualifications needed to thrive as a Python Developer, and why are they important?

To thrive as a Python Developer, you need strong proficiency in Python programming, a solid understanding of algorithms, data structures, and often a relevant degree in computer science or a related field. Familiarity with development frameworks (like Django or Flask), version control systems such as Git, and relevant Python certifications are commonly expected. Problem-solving ability, adaptability, and effective communication are valuable soft skills that set top candidates apart. These competencies enable developers to write efficient, maintainable code and collaborate well within development teams on complex projects.

Are Python certifications worth getting?

Python certifications can enhance a Python developer's resume by validating skills and knowledge in the language, which may improve job prospects. However, practical experience and project work often weigh more heavily with employers than certifications alone. They are most beneficial when combined with hands-on coding and relevant job experience.
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Infographic showing various Python Certification job openings in Irvine, CA as of July 2026, with employment types broken down into 66% Full Time, 12% Part Time, and 22% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $130,881 per year, or $62.9 per hour.

SRE AIops Engineer (AWS)

Fervorly

Irvine, CA โ€ข On-site

$61.25 - $81.25/hr

Other

Re-posted 4 days ago


Job description

Role Title: Senior SRE AIOps Engineer (AWS)

Experience Level: 5โ€“8 Years

Location: USA

Primary Environment: Amazon Web Services (AWS)

Executive Summary

  • Responsible for reliability, performance, and scalability of AWS-based microservices environments.
  • Drive modernization of SRE operations through AIOps capabilities using Machine Learning and automation.
  • Implement intelligent monitoring, anomaly detection, alert correlation, and self-healing infrastructure solutions.

Core Responsibilities

  • Define and manage SLOs, SLIs, and Error Budgets for mission-critical AWS services.
  • Manage, optimize, and scale Amazon EKS clusters ensuring high availability and cost efficiency.
  • Implement and tune AIOps solutions using AWS DevOps Guru and Amazon Lookout for Metrics.
  • Identify performance bottlenecks proactively before impacting end users.
  • Lead incident response activities and perform root-cause analysis (RCA).
  • Develop automated remediation workflows using AWS Lambda and AWS Step Functions.
  • Reduce operational toil by building automation tools and utilities in Python or Go.

Must-Have Skills

  • Strong expertise in AWS services including:
    • Amazon EKS
    • AWS Lambda
    • Amazon S3
    • VPC Networking
  • Hands-on experience with observability and monitoring tools:
    • Amazon CloudWatch (Logs Insights, ServiceLens)
    • Managed Grafana
    • Prometheus
  • Expert-level proficiency in Infrastructure as Code:
    • Terraform or AWS CDK
  • Experience with AI-driven monitoring and AIOps platforms:
    • AWS DevOps Guru
    • Datadog Watchdog
    • Dynatrace Davis
  • Strong Python programming skills with AWS SDKs (Boto3).
  • Advanced knowledge of:
    • Docker
    • Kubernetes manifests
    • Helm charts

Good-to-Have Skills

  • Exposure to Generative AI services:
    • Amazon Bedrock
    • Amazon Q
  • Basic understanding of ML models for:
    • Predictive scaling
    • Forecasting
  • Security monitoring experience with:
    • AWS GuardDuty
    • AWS Security Hub
  • Relevant certifications preferred:
    • AWS Certified DevOps Engineer โ€“ Professional
    • Certified Kubernetes Administrator (CKA)