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Part Time Devops Jobs in Pennsylvania (NOW HIRING)

The Pennsylvania State University

$57/hr

... for a part-time programmer. The role: Help us build a focused, sharp system that turns peer ... Postgres + vector/embedding store; graph DB experience welcome. * DevOps basics: containers ...

The Pennsylvania State University

$21/hr

AND POSITION REQUIREMENTS The Department of Computer Science and Engineering is seeking part-time ... NumPy * Experience with array operations, broadcasting, and vectorization * Linux / Unix

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Part Time Devops information

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How much do part time devops jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for part time devops in Pennsylvania is $60.68, according to ZipRecruiter salary data. Most workers in this role earn between $50.87 and $69.62 per hour, depending on experience, location, and employer.

What Are Part-Time DevOps Jobs?

DevOps, which is an abbreviation for development operations, is a set of practices and methods that developers use to streamline the development of software and computer systems and software engineering projects. As a part-time DevOps engineer or specialist, you work with developers to manage the development process and ensure that they meet all technical parameters. Your duties include taking steps to analyze the procedures and using automated tools to write, update, and test code. A part-time DevOps specialist can handle consulting responsibilities or help developers with the deployment of automated tools to manage the development lifecycle.

What are part time DevOps?

Part time DevOps professionals are IT specialists who work reduced or flexible hours, focusing on automating and streamlining software development and operational processes. They collaborate with development and IT teams to build, test, and deploy applications efficiently, often using tools like Jenkins, Docker, and AWS. Part time DevOps roles are ideal for organizations needing DevOps expertise on a limited basis, or for professionals seeking flexible work arrangements while maintaining involvement in continuous integration and delivery workflows.

How does working part-time as a DevOps professional impact collaboration with full-time team members?

As a part-time DevOps professional, you may need to coordinate closely with full-time team members to ensure smooth handoffs and consistent progress on projects. Clear communication and thorough documentation are essential to keep everyone aligned, especially when team members work different schedules. Many organizations use collaborative tools like Slack, Jira, or Confluence to facilitate updates and knowledge sharing. While you might face challenges in staying fully up to speed with rapidly changing environments, proactive engagement during meetings and regular syncs can help bridge any gaps.

What are the key skills and qualifications needed to thrive as a Part Time DevOps Engineer, and why are they important?

To thrive as a Part Time DevOps Engineer, you need a solid background in system administration, scripting (such as Bash or Python), and CI/CD concepts, typically supported by a degree in computer science or related experience. Familiarity with tools like Docker, Kubernetes, Jenkins, and cloud platforms (AWS, Azure, or GCP) is often required, along with relevant certifications such as AWS Certified DevOps Engineer. Strong problem-solving abilities, effective communication, and a collaborative mindset help you work efficiently in cross-functional teams. These skills and qualities are crucial for maintaining robust, scalable infrastructure and ensuring seamless software delivery, even on a part-time schedule.
More about Part Time Devops jobs
What are the most commonly searched types of Devops jobs in Pennsylvania? The most popular types of Devops jobs in Pennsylvania are:
What are popular job titles related to Part Time Devops jobs in Pennsylvania? For Part Time Devops jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Part Time Devops jobs in Pennsylvania look for? The top searched job categories for Part Time Devops jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Part Time Devops jobs? Cities in Pennsylvania with the most Part Time Devops job openings:
Part Time Devops jobs near you
Infographic showing various Part Time Devops job openings in Pennsylvania as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $126,211 per year, or $60.7 per hour.
Part-Time Assistant Programmer

Part-Time Assistant Programmer

Penn State University

University Park, PA • On-site

$57/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

225th of 612 rated colleges and universities

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
The Department of Computer Science and Engineering within the College of Engineering is seeking applicants for a part-time programmer.
The role: Help us build a focused, sharp system that turns peer-reviewed nutrition literature into transparent, evidence-based recommendations. You'll implement the Extract, Transform Load (ETL) pipeline from OpenAlex, fine-tune and wire up transformer models for relation extraction, and ship a production-grade recommendation/generative layer backed by a provenance-rich knowledge graph.
What you'll do:
  • Stand up and own a PubMed or OpenAlex ETL that ingests open-access articles, normalizes metadata, and keeps our corpus fresh.
  • Use and/or fine tune transformer models (e.g., BERT variants) to extract semantic triples (like: (ingredient)-[biolink:ameliorates_condition]->(health condition)); build evaluation and error-analysis loops.
  • Implement a ranking layer that blends evidence strength (study design, sample size, effect size) with model confidence.
  • Build the recommendation/generative service that balances constraints (evidence score, compatibility, regulatory limits) and exposes a clean API.
  • Construct/maintain a knowledge graph that links every recommendation back to source papers (full provenance) and supports plain-language evidence summaries.
  • Collaborate tightly with PI and domain scientists; deliver milestones on a fast, 12-month pilot timeline.

Core stack we use (and you're comfortable with):
  • Python 3.x; modern NLP/ML (PyTorch or TensorFlow, Hugging Face, scikit-learn); data/ETL tooling (pandas, spaCy, Pydantic, Airflow/Prefect).
  • APIs/services: RESTful design, auth, pagination, retries, structured logging, unit/integration tests, CI.
  • Storage/search: Postgres + vector/embedding store; graph DB experience welcome.
  • DevOps basics: containers, reproducible envs, simple local deploys, secrets management.

Nice to have:
  • Deep NLP experience (relation extraction, weak supervision, prompt/adapter tuning).
  • Semantic KGs (RDF/OWL, Neo4j/graph tooling), ontology work, and/or the Biolink Model.
  • Experience with biomedical text corpora and literature mining.
  • You've shipped scrappy, reliable research-to-prod systems before.

What you bring:
  • 3+ years professional Python and ML/NLP engineering, or equivalent portfolio.
  • Strong engineering hygiene (tests, docs, code review) and product sense.
  • Clear, direct communication in a remote team.
  • Bonus: prior work at the intersection of ML + biosciences/clinical data.

Logistics & pay:
  • Fully remote (U.S.); office space available at Penn State for hybrid/in-person if preferred.
  • Part-time at $57/hour, 20 hours/week, 50 weeks. Continuation beyond 50 weeks depends on renewal/next-round funding.
  • Please submit a brief cover letter and resume/CV.
  • For more information on restrictions for part-time remote employment locations: Notice to Out of State Applicants

BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
The Pennsylvania State University is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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