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Python Perl Jobs in Michigan (NOW HIRING)

Centroid Systems, Inc.

Linux Engineer

Troy, MI · On-site +1

Experience with shell scripting and languages such as Python and Perl. * Experience with automation tools such as Oracle Linux Automation Manager, Ansible or AWX. Education Required Bachelor's degree ...

Apex Systems

IBM Websphere Platform Engineer

Dearborn, MI · Hybrid

$50 - $70/hr

Bash, Python (or Perl) Containers: Docker, Kubernetes / OpenShift CI/CD: Jenkins, GitLab CI, ArgoCD, GitOps concepts SCM: GitEducation Required:Bachelor's DegreeEducation Preferred:Additional Safety ...

Trilyon, Inc.

Senior Systems Engineer

Lansing, MI · On-site

$106K - $145K/yr

Automation of upgrades, provisioning, and software maintenance using BASH, Perl, Python, and Glink. * ETL & Data Processing (3+ years): Design, execution, and support of Extract, Transform, Load (ETL ...

FastTek

Unix/DevOps Engineer

Dearborn, MI

$48.50 - $66.50/hr

Bash, PowerShell, Ruby, Python, TCL, Javascript, Perl, PHP, and markup languages and data interchange specifications: HTML5, JSON, XML, and Web services to manipulate Web resources with focus on REST ...

General Motors

Senior Software Engineer - SWIL

Milford, MI · On-site

$107.70K - $142K/yr

... Python or Perl. You will collaborate with product owners, developers, and testers to create robust software behavior tests and innovative automation capabilities that elevate built-in quality while ...

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Python Perl information

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.

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 Python and Perl developers?

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.

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.

What are popular job titles related to Python Perl jobs in Michigan? For Python Perl jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Python Perl jobs in Michigan look for? The top searched job categories for Python Perl jobs in Michigan are:
What cities in Michigan are hiring for Python Perl jobs? Cities in Michigan with the most Python Perl job openings:
Python Perl jobs near you
DevOps-CI/CD Pipeline Specialist - Project Delivery Senior Analyst

DevOps-CI/CD Pipeline Specialist - Project Delivery Senior Analyst

Deloitte

Midland, MI • Hybrid

$111.60K - $143.30K/yr

Other

Posted 12 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced DevOps-CI/CD Pipeline Specialist - Project Delivery Senior Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

 Recruiting for this role ends on June 3rd 2026.

Work you'll do/Responsibilities
You will support Application Maintenance & Enhancements (AME) activities for in-scope applications, including sustaining operations and minor enhancements. In this role, you will focus on maintenance, monitoring, support, and development of private cloud-based application environments and CI/CD pipelines.

  • Support maintenance, monitoring, and day-to-day operations of private cloud-based application environments. Develop, enhance, and support CI/CD pipelines for applications within the AME scope.
  • Monitor system health, performance, and platform stability to identify and resolve operational issues.
  • Support application deployment, release, and environment management activities across development and support teams.
  • Implement and manage DevOps automation using tools such as Terraform, Jenkins, Maven, Git, Nexus, Amazon ECR, Docker, and Artifactory.
  • Support secrets and key management processes across AWS and Azure environments.
  • Write and maintain automation scripts and programs using languages such as Java, Ruby, Python, and shell scripting.
  • Integrate AWS and/or Azure services with custom-developed applications, commercial-off-the-shelf software, and open-source solutions.
  • Perform Linux and Windows Server administration, configuration, and software installation activities.
  • Support source code management and version control practices using Git.
  • Assist with application management, release management, and continuous improvement of deployment methodologies.
  • Support environments and integrations involving Docker, Kafka, MongoDB, Cassandra, and Oracle.
  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and/or technical teams, including escalating any matters that require additional attention and consideration from engagement management.
  • Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes, including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes.

The Team


Hybrid Cloud Infrastructure - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. This team language follows the uploaded Deloitte template and sample format

Qualifications

Required

  • 4+ years of experience designing and operating scalable, secure, and high-performing systems and platforms in highly hardened or secure environments
  • 4+ years of experience with DevOps and CI/CD tools such as Terraform, Jenkins, Maven, Git, Nexus, Amazon ECR, Docker, and Artifactory
  • 4+ years of experience with source code management and version control practices using Git
  • Experience with secrets and key management in AWS and Azure
  • Experience integrating AWS and/or Azure services with custom-developed applications, commercial-off-the-shelf software, and open-source software
  • Demonstrated ability to write programs and automation scripts using languages such as Java, Ruby, Python, shell, Perl, or PHP
  • Hands-on experience with Linux and Windows Server administration, configuration, and software installation
  • Experience with application management, release management, and deployment methodologies
  • Experience supporting maintenance, monitoring, and operational support of application environments and CI/CD pipelines
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred

  • Experience supporting private cloud-based application environments
  • Experience with Docker, Kafka, MongoDB, Cassandra, and Oracle
  • Experience supporting sustaining operations and minor enhancement delivery models
  • Experience troubleshooting infrastructure, deployment, and pipeline issues across multiple environments

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $84,600 to $141,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced DevOps-CI/CD Pipeline Specialist - Project Delivery Senior Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

 Recruiting for this role ends on June 3rd 2026.

Work you'll do/Responsibilities
You will support Application Maintenance & Enhancements (AME) activities for in-scope applications, including sustaining operations and minor enhancements. In this role, you will focus on maintenance, monitoring, support, and development of private cloud-based application environments and CI/CD pipelines.

  • Support maintenance, monitoring, and day-to-day operations of private cloud-based application environments. Develop, enhance, and support CI/CD pipelines for applications within the AME scope.
  • Monitor system health, performance, and platform stability to identify and resolve operational issues.
  • Support application deployment, release, and environment management activities across development and support teams.
  • Implement and manage DevOps automation using tools such as Terraform, Jenkins, Maven, Git, Nexus, Amazon ECR, Docker, and Artifactory.
  • Support secrets and key management processes across AWS and Azure environments.
  • Write and maintain automation scripts and programs using languages such as Java, Ruby, Python, and shell scripting.
  • Integrate AWS and/or Azure services with custom-developed applications, commercial-off-the-shelf software, and open-source solutions.
  • Perform Linux and Windows Server administration, configuration, and software installation activities.
  • Support source code management and version control practices using Git.
  • Assist with application management, release management, and continuous improvement of deployment methodologies.
  • Support environments and integrations involving Docker, Kafka, MongoDB, Cassandra, and Oracle.
  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and/or technical teams, including escalating any matters that require additional attention and consideration from engagement management.
  • Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes, including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes.

The Team


Hybrid Cloud Infrastructure - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. This team language follows the uploaded Deloitte template and sample format

Qualifications

Required

  • 4+ years of experience designing and operating scalable, secure, and high-performing systems and platforms in highly hardened or secure environments
  • 4+ years of experience with DevOps and CI/CD tools such as Terraform, Jenkins, Maven, Git, Nexus, Amazon ECR, Docker, and Artifactory
  • 4+ years of experience with source code management and version control practices using Git
  • Experience with secrets and key management in AWS and Azure
  • Experience integrating AWS and/or Azure services with custom-developed applications, commercial-off-the-shelf software, and open-source software
  • Demonstrated ability to write programs and automation scripts using languages such as Java, Ruby, Python, shell, Perl, or PHP
  • Hands-on experience with Linux and Windows Server administration, configuration, and software installation
  • Experience with application management, release management, and deployment methodologies
  • Experience supporting maintenance, monitoring, and operational support of application environments and CI/CD pipelines
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred

  • Experience supporting private cloud-based application environments
  • Experience with Docker, Kafka, MongoDB, Cassandra, and Oracle
  • Experience supporting sustaining operations and minor enhancement delivery models
  • Experience troubleshooting infrastructure, deployment, and pipeline issues across multiple environments

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $84,600 to $141,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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