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Python Perl Jobs (NOW HIRING)

Arcfield

Physicist / Image Scientist

Chesterbrook, PA · On-site

Tools, models, and data evaluation are typically performed with combinations of Matlab, Python, Perl, Java, C++, R, or similar platforms. Qualifications Required Skills: * Bachelor's degree in ...

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Python Perl information

What is a Python Perl developer?

Python and Perl developers are professionals who write, debug, and maintain software programs using the Python and Perl programming languages. These developers often work on scripting, automation, data analysis, web development, and system administration tasks. They are proficient in both languages and can leverage their strengths to solve complex problems efficiently. Their expertise is valuable in various industries, including technology, finance, and scientific research.

How do Python Perl developers typically collaborate with other teams during software development projects?

Python-Perl developers often work closely with cross-functional teams, including front-end developers, QA engineers, and system administrators, to ensure seamless integration of backend scripts and automation tools. Collaboration usually involves regular code reviews, participating in sprint planning meetings, and providing technical support to resolve integration issues. Effective communication and documenting code are key, as Python-Perl scripts may interface with a variety of systems and stakeholders rely on clear guidance to maintain or extend functionality.

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

To thrive as a Python/Perl Developer, you need strong programming skills in both Python and Perl, a solid understanding of software development principles, and typically a degree in computer science or a related field. Familiarity with version control systems like Git, experience with frameworks (such as Django for Python), and knowledge of databases are commonly required, along with relevant certifications being advantageous. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and debugging complex code. These skills and qualities are essential for delivering robust, maintainable software solutions and ensuring successful project outcomes.

What is the difference between Python Perl vs Data Analyst?

AspectPython PerlData Analyst
Required skillsProgramming in Python and Perl, scripting, data manipulationData visualization, statistical analysis, Excel, SQL
Work environmentTech companies, software development, data processingBusiness, finance, marketing, research
CertificationsPython/Perl certifications, coding bootcampsData analysis certifications (e.g., CAP, Microsoft Certified)

Python Perl developers focus on scripting, automation, and data processing using programming languages, often in tech environments. Data Analysts interpret data, create reports, and provide insights using statistical tools and visualization. While both roles work with data, Python Perl roles are more technical and coding-intensive, whereas Data Analysts focus on analysis and communication of findings.

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Python Perl jobs near you
Infographic showing various Python Perl job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 7% Part Time, and 5% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution.

Observability Engineer (Splunk & Dynatrace)

Neshent Technologies

Sachse, TX • On-site

Full-time

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

Job description

We are seeking an experienced Observability and Monitoring Engineer to design, implement, and support enterprise monitoring solutions using Splunk, Dynatrace, and related tools. The role focuses on application performance monitoring, proactive incident detection, automation, and operational stability across enterprise environments.

Roles and Responsibilities
  • Deploy and configure Dynatrace across Windows, Linux, and Mainframe environments.
  • Onboard applications into Splunk using forwarders, source types, indexing, and best practices.
  • Create and maintain monitoring dashboards, reports, alerts, saved searches, and automated workflows.
  • Implement full-stack observability including APM, infrastructure monitoring, log analytics, synthetic monitoring, and distributed tracing.
  • Configure Splunk integrations, including DB Connect inputs and new data connections.
  • Develop automation scripts and workflows using Python, Perl, Unix Shell, and APIs.
  • Define tagging strategies, alerting policies, retention policies, and monitoring governance standards.
  • Integrate monitoring platforms with ITSM tools for incident management and workflow automation.
  • Troubleshoot production issues and support application teams to improve system reliability.
  • Create SOPs, technical documentation, and conduct knowledge transfer sessions.
  • Drive proactive monitoring, reduce incident resolution time, and improve application stability.
Required Skills & Qualifications
  • Bachelor’s degree or equivalent technical experience.
  • 5+ years of experience in IT Operations, Production Support, or Monitoring Engineering.
  • Strong hands-on experience with Splunk and Dynatrace monitoring platforms.
  • Experience with monitoring tools such as ITRS Geneos and Remedy/MyITSM.
  • Strong knowledge of Oracle, Teradata databases, Unix/Linux environments, and scripting.
  • Experience with job scheduling tools such as Autosys.
  • Proficiency in Python, Perl, and Unix Shell scripting.
  • Understanding of ITIL processes, including Incident and Problem Management.
  • Experience supporting production environments with rotational after-hours support.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication skills with the ability to collaborate with technical teams, business stakeholders, and senior management.
  • Experience in the financial/banking industry is preferred.

Apply