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Part Time Cloud Devops Jobs in Arizona (NOW HIRING)

Conflux Systems

Databricks Engineer

Phoenix, AZ · On-site

Drive CI/CD automation, deployment strategies, and DevOps best practices. * Optimize performance of ... Databricks and cloud-native storage/compute platforms * Apache Spark (batch & streaming) * Delta ...

New

Conflux Systems

Service now CMDB

Phoenix, AZ · On-site

$52.50 - $72.25/hr

Inform the candidate that they must not have any other part-time or full-time employment while ... on Oracle Cloud Infrastructure inventory integration and cloud asset discovery. The role also ...

Highgate Hotels

Engineering Part-time

Mesa, AZ · On-site

... contemporary programming and digital acumen. The company utilizes industry-leading revenue ... with the operation maintenance and repair of equipment. * Change out light bulbs; perform ...

The State of Arizona

Systems/Network Engineer

Phoenix, AZ · Hybrid

$90K - $100K/yr

... agency's Cloud services in Office 365 and Azure. You will be independently identifying and ... Microsoft Certified Security Operations Analyst Associate desirable Microsoft Certified Security ...

Bechtel

BIM Coordinator

Chandler, AZ · On-site

Telework Type: Part-Time Telework * Work Location: Chandler, AZ Extraordinary teams building ... Recognized degree or diploma in architecture, engineering, construction management, design ...

Bechtel

BIM Coordinator

Chandler, AZ · On-site

Telework Type: Part-Time Telework * Work Location: Chandler, AZ Extraordinary teams building ... Recognized degree or diploma in architecture, engineering, construction management, design ...

Stantec

Senior Automation Engineer

Chandler, AZ · On-site

$100K - $131K/yr

Your personal commitment to safety will help us achieve our goal of zero harm within our operation ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

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All JobsCloud Devops JobsPart Time Cloud Devops JobsPart Time Cloud Devops Jobs in Arizona

Part Time Cloud Devops information

What is a part time cloud DevOps?

Part time cloud DevOps jobs involve managing and automating cloud infrastructure, deployments, and operations for organizations, but on a reduced or flexible schedule. These roles typically include tasks such as maintaining cloud environments (like AWS, Azure, or Google Cloud), implementing CI/CD pipelines, and monitoring system performance. Part time positions may be ideal for those seeking work-life balance or supplemental income, while still working with modern DevOps practices and tools. Responsibilities and required skills are similar to full-time roles, but with fewer hours or on a project basis.

How do part time cloud DevOps professionals typically manage collaboration and communication with full-time team members?

Part-time Cloud DevOps professionals often use collaboration tools like Slack, Jira, or Microsoft Teams to stay connected with their full-time colleagues. They usually have scheduled check-ins or stand-up meetings to align on priorities, discuss progress, and address blockers. Since their hours are limited, clear communication and thorough documentation of changes or deployments are crucial to ensure seamless handoffs. Flexibility and proactive updates help maintain productivity and integration within the team's workflow.

What are the key skills and qualifications needed to thrive as a part time cloud DevOps professional, and why are they important?

To thrive as a Part Time Cloud DevOps professional, you need a solid understanding of cloud platforms (such as AWS, Azure, or Google Cloud), automation, and infrastructure-as-code principles, often supported by relevant experience or certifications. Familiarity with CI/CD tools (like Jenkins or GitHub Actions), configuration management systems (such as Ansible or Terraform), and monitoring solutions is typically required. Strong problem-solving, collaboration, and time management skills help professionals excel, especially when working independently or remotely. These competencies ensure efficient deployment, reliable system operations, and seamless integration within development teams, even on a part-time schedule.

What is the difference between Part Time Cloud Devops vs Part Time Cloud Engineer?

AspectPart Time Cloud DevopsPart Time Cloud Engineer
Required CredentialsCloud certifications (AWS, Azure, GCP), DevOps toolsCloud certifications, scripting, cloud platform knowledge
Work EnvironmentCollaborative, DevOps teams, remote or on-siteCloud infrastructure setup, maintenance, monitoring
Employer & Industry UsageTech companies, startups, IT service providersCloud service providers, enterprise IT departments
Common Search & ComparisonYesYes

Part Time Cloud Devops focuses on integrating development and operations, automating deployment pipelines, and managing cloud infrastructure. Part Time Cloud Engineer primarily handles cloud infrastructure setup, configuration, and maintenance. While both roles require cloud platform knowledge and certifications, Cloud Devops emphasizes automation and collaboration, whereas Cloud Engineer concentrates on infrastructure management. The roles often overlap but serve different core functions within cloud-based environments.

What are the most commonly searched types of Cloud Devops jobs in Arizona?

The most popular types of Cloud Devops jobs in Arizona are:

What are popular job titles related to Part Time Cloud Devops jobs in Arizona?

For Part Time Cloud Devops jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Part Time Cloud Devops jobs in Arizona look for?

The top searched job categories for Part Time Cloud Devops jobs in Arizona are:

What cities in Arizona are hiring for Part Time Cloud Devops jobs?

Cities in Arizona with the most Part Time Cloud Devops job openings:

Part Time Cloud Devops jobs near you

Databricks Engineer

Phoenix, AZ • On-site

Conflux Systems
IT Services • 11 - 50 employees
Learn more about Conflux Systemsexternal

Full-time, Part-time

Posted 3 days ago

New

Job description

Visa not allowed.
  • CPT EAD
  • Stem - OPT
  • OPT EAD
  • FTE to Subco conversion - 6 months cooling period we need to follow or get approval.

  • Atos has stringent compliance and security requirements that all employees are expected to adhere to.
  • Inform the candidate that they must not have any other part-time or full-time employment while working with Atos on this assignment.
  • Obtain explicit confirmation from the candidate that they understand and are comfortable with these requirements and the expected work arrangement before proceeding further.

Client Name - AMEX
Glow - 3ET0JY
Posman - 134667
Role / Skills - Databricks Engineer
Rate - USD $52
Location - Pheonix - Day 1 Onsite - min 3 days a week.
JD - Confirm / share us the complete JD and lets us know if anything specific:
Databricks Engineer
Role Overview
We are seeking a highly skilled Databricks Engineer to lead the design, implementation, and optimization of scalable cloud-based data platforms. This role requires deep expertise in Lakehouse architecture, Databricks, Apache Spark, and Delta Lake, along with proven experience delivering end-to-end enterprise data engineering solutions.
Key Responsibilities
  • Design and deliver end-to-end data engineering pipelines, including batch and real-time streaming solutions.
  • Lead implementation of:
  • Cloud-based data lakehouse platforms integrating diverse data sources.
  • Real-time data processing pipelines for operational and analytical use cases.
  • Develop scalable ETL/ELT pipelines using PySpark, Scala, and SQL.
  • Implement advanced data modeling solutions including 3NF, dimensional modeling, and enterprise data warehousing strategies.
  • Design and build incremental data loading frameworks and metadata-driven ingestion pipelines.
  • Establish data quality frameworks and governance standards.
  • Implement and manage Unity Catalog, including fine-grained security and access controls.
  • Leverage Databricks components such as:
  • Delta Live Tables
  • Autoloader
  • Structured Streaming
  • Databricks Workflows
  • Integration with orchestration tools (e.g., Apache Airflow)
  • Drive CI/CD automation, deployment strategies, and DevOps best practices.
  • Optimize performance of pipelines, Spark jobs, and compute resources.
  • Provide architectural guidance and technical leadership across cross-functional teams.
  • Engage with stakeholders and clients to translate business requirements into scalable technical solutions.

Deep expertise in:
  • Databricks and cloud-native storage/compute platforms
  • Apache Spark (batch & streaming)
  • Delta Lake & Lakehouse architecture
  • Distributed data processing systems
  • Strong hands-on programming skills in Python, PySpark, Scala, and SQL.

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