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Reliability Engineer Part Time Jobs (NOW HIRING)

Partner with SRE leadership to align platform reliability with SLOs, collaborate on proactive ... In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total ...

Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

... reliability * Engineer integrations between operational systems, training systems, human ... part time, and independent contractor) and annual random drug screening for all current T3i ...

$152K/yr

An experienced developer or engineer - SWE, data engineer, data analyst, DevOps/SRE, or quant - who wants to move into an adjacent AI/ML role (MLE, AI engineer, MLOps, data scientist) and carry their ...

Specifically the interns will be reporting to the Reliability Organization for Colorado supporting ... Engineering - Able to work full-time during the summer (up to 40 hours a week)/ part time during ...

Specifically the interns will be reporting to the Reliability Organization for Colorado supporting ... Engineering - Able to work full-time during the summer (up to 40 hours a week)/ part time during ...

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Reliability Engineer Part Time information

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How much do reliability engineer part time jobs pay per year?

As of Sep 11, 2026, the average yearly pay for reliability engineer part time in the United States is $117,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $129,000.00 per year, depending on experience, location, and employer.

What is a reliability engineer part time?

A Reliability Engineer in a part-time role focuses on improving system dependability, minimizing failures, and optimizing maintenance strategies while working reduced hours. They analyze performance data, implement reliability improvements, and collaborate with teams to enhance product or system longevity. Despite being part-time, their contributions are crucial to ensuring operational efficiency and reducing downtime.

What are some typical challenges faced by part-time reliability engineers, and how can they be managed?

Part-time Reliability Engineers often balance multiple tasks within limited hours, which can make prioritizing urgent reliability issues challenging. To manage this, effective time management and clear communication with team members are crucial, ensuring that key maintenance and analysis activities are completed efficiently. They may also need to quickly familiarize themselves with ongoing projects, so strong documentation practices and regular updates from the team are valuable. Many organizations support part-time engineers by providing flexible scheduling and by leveraging collaborative tools to keep everyone aligned. This collaborative approach helps ensure that reliability goals are met without compromising work-life balance.

What are the key skills and qualifications needed to thrive in the reliability engineer part time position, and why are they important?

To thrive as a Reliability Engineer Part Time, you need a strong background in engineering principles, failure analysis, and reliability testing, typically supported by a degree in engineering or a related field. Familiarity with reliability modeling software, root cause analysis tools, maintenance management systems, and relevant certifications like CRE (Certified Reliability Engineer) is highly advantageous. Excellent problem-solving skills, attention to detail, and effective communication stand out as essential soft skills in this position. These competencies enable you to identify potential failures, develop robust solutions, and ensure the long-term performance and safety of equipment and systems.

Are reliability engineers in demand?

Reliability engineers are in high demand across industries such as manufacturing, energy, and aerospace due to their role in improving system performance and reducing downtime. Employers seek professionals with skills in failure analysis, predictive maintenance, and familiarity with tools like FMEA and root cause analysis, often requiring relevant certifications. The demand is expected to grow as companies prioritize operational efficiency and safety.

How much do reliability engineers get paid?

Reliability engineers typically earn between $70,000 and $110,000 annually, depending on experience, location, and industry. Part-time reliability engineers may earn proportionally less, often paid hourly, with rates ranging from $30 to $70 per hour. Certifications and specialized skills can also influence salary levels.
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Cities with the most Reliability Engineer Part Time job openings:

What are the most commonly searched types of Reliability Engineer jobs?

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Infographic showing various Reliability Engineer Part Time job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $117,973 per year, or $56.7 per hour.

Instuctor , Cloud Computing & Devops(CCDO)

Remote

Fullstack Academy
Colleges, Universities, and Professional Schools • 51 - 200 employees

$54 - $74/hr

Part-time

Re-posted 18 days ago


Job description

About Us
Simplilearn is the world's #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more - that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.
Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.
Position Overview
The Part-Time Instructor for Cloud Computing & DevOps plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs.
Instructors facilitate curriculum content, support student learning, and connect cloud and DevOps concepts to real-world infrastructure, automation, and deployment practices. This role involves teaching live online sessions, mentoring learners, providing feedback, and contributing to a collaborative instructional environment.
Classes are delivered 100% online in a synchronous format.
Key Responsibilities
Deliver live online training sessions covering Cloud Computing, DevOps, and Site Reliability Engineering (SRE) concepts.
Cover core topics including:
Cloud Computing Platforms
  • Cloud infrastructure fundamentals
  • Deployment and management of cloud resources
  • Hands-on use of:
    • Amazon Web Services (AWS)
    • Microsoft Azure
    • Google Cloud Platform (GCP)
DevOps Concepts & Practices
  • Continuous Integration and Continuous Delivery (CI/CD)
  • Automation and deployment workflows
  • Infrastructure monitoring and observability
  • Containerization and orchestration concepts
  • DevOps lifecycle and collaboration practices

DevOps Tools & Technologies
  • Jenkins
  • Git and GitHub workflows
  • Docker containerization
  • Kubernetes orchestration
  • Terraform for Infrastructure as Code (IaC)
  • Ansible for configuration management
  • Monitoring tools such as Prometheus and Grafana

Infrastructure & Architecture
  • Infrastructure as Code (IaC) concepts and implementation
  • Microservices architecture fundamentals
  • Serverless computing concepts and cloud-native design
  • Deployment automation and scalability best practices

Security & Compliance
  • Security best practices in cloud environments
  • Identity and access management concepts
  • Compliance and governance fundamentals
  • Monitoring, logging, and incident management

Provide hands-on demonstrations, labs, and guided project support.
Facilitate practical exercises, assignments, and real-world deployment scenarios.
Mentor learners and resolve technical or conceptual queries.
Conduct assessments, evaluations, and feedback sessions.
Maintain session quality metrics and learner engagement standards.
Collaborate with internal teams on curriculum updates and technical content refinement.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
  • 7+ years of professional experience in Cloud Computing, DevOps, or Site Reliability Engineering (SRE) roles
  • Hands-on expertise with one or more major cloud platforms:
    • Amazon Web Services (AWS)
    • Microsoft Azure
    • Google Cloud (GCP)
  • Strong understanding of DevOps concepts including:
    • Continuous Integration (CI)
    • Continuous Delivery/Deployment (CD)
    • Automation
    • Monitoring and observability
    • Container orchestration
  • Practical experience with DevOps tools such as:
    • Jenkins
    • Git/GitHub
    • Docker
    • Kubernetes
    • Terraform
    • Ansible
    • Prometheus/Grafana
  • Working knowledge of:
    • Infrastructure as Code (IaC)
    • Microservices architecture
    • Serverless computing
  • Familiarity with security and compliance best practices in cloud environments
  • Prior experience delivering online or classroom training preferred
  • Excellent communication, facilitation, and presentation skills

Preferred Qualifications
  • Certifications such as:
    • AWS Certified Solutions Architect
    • Microsoft Certified: Azure Administrator/DevOps Engineer
    • Google Professional Cloud Architect
    • Equivalent cloud or DevOps certifications
  • Experience working in enterprise cloud migration or DevOps transformation initiatives
  • Familiarity with Agile and DevSecOps practices
  • Exposure to CI/CD pipeline optimization and automation frameworks
  • Experience mentoring engineers or technical learners

Key Competencies
  • Strong instructional and facilitation skills
  • Ability to simplify complex cloud and DevOps concepts clearly
  • Structured and professional virtual delivery approach
  • Strong analytical and troubleshooting mindset
  • Hands-on mentoring and learner support capability
  • Adaptability to evolving cloud technologies and automation practices

Student Support & Mentorship
Provide individualized student support during live sessions and scheduled office hours.
Maintain regular communication with students regarding progress, expectations, and milestones.
Respond to student and staff communications in a timely and professional manner.
Provide clear, constructive, and timely feedback on assignments, assessments, and lab activities.
Performance Monitoring
Evaluate student progress based on course deliverables and established grading rubrics.
Maintain accurate documentation of student performance and engagement.
Identify and escalate academic or learner performance concerns to the Lead Instructor or appropriate staff.
Support learner improvement plans and certification readiness initiatives when necessary.
Collaboration & Professional Conduct
Adhere to institutional policies and instructional team standards.
Foster an inclusive, respectful, and professional learning environment.
Serve as a role model and mentor for learners pursuing Cloud and DevOps careers.
Collaborate with instructional staff and program teams to improve the learner experience and program outcomes.
Represent the organization professionally when interacting with students, staff, and external stakeholders.
Work Schedule
Part-Time instructors typically work 10-15 hours per week depending on cohort schedules.
The total weekly part-time commitment is expected to be 8-12 hours.
Weekday - 06:30 PM CST - 09:30 PM CST (Monday, Wednesday and Thursday)
Weekend - 09:00 AM CST - 12:00 PM CST (Saturday and Sunday)
Flexibility for evening availability is required.
Compensation
The anticipated pay range for this position is $55 - $60 per hour, depending on qualifications and experience.
This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal and state wage and hour laws.
Equal Employment Opportunity
We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Work Authorization
Applicants must be legally authorized to work in the United States at the time of application and throughout employment.
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