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Python Software Engineer Ubuntu Server Certification Jobs in Delaware

Automate provisioning, configuration and management of server infrastructure using a configuration ... NET, Java, C#, or Python language. HOURS: 40 hours/week; 9:00 a.m. - 5:30 p.m. LOCATION OF ...

Automate provisioning, configuration and management of server infrastructure using a configuration ... NET, Java, C#, or Python language. HOURS: 40 hours/week; 9:00 a.m. - 5:30 p.m. LOCATION OF ...

$150 - $200/hr

As a Lead Software Engineer - Python/React/AWS/AI at JPMorganChase within the Consumer and ... Formal training or certification on software engineering concepts and 5+ years applied experience

$150 - $200/hr

Formal training or certification on Software Engineering concepts and 5+ years applied experience ... Programming experience in Python, FAST API, Spark * Technically competent in various AWS Services ...

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Python Software Engineer Ubuntu Server Certification information

What is a python software engineer ubuntu server certification?

Python Software Engineer Ubuntu Server Certification jobs involve developing, testing, and maintaining software applications written in Python, with a focus on ensuring compatibility and performance on Ubuntu Server environments. These professionals are responsible for writing efficient code, automating processes, and sometimes contributing to open-source projects related to Ubuntu. The 'certification' aspect refers to validating that applications or solutions meet Ubuntu Server's standards and requirements. This role often requires expertise in both Python programming and Linux system administration, as well as knowledge of Ubuntu's certification processes.

What are the key skills and qualifications needed to thrive as a python software engineer with Ubuntu Server certification?

To thrive as a Python Software Engineer with Ubuntu Server Certification, you need strong programming skills in Python, experience with server-side development, and a solid understanding of Linux system administration, typically demonstrated by obtaining Ubuntu Server Certification. Familiarity with tools like Git, Docker, CI/CD pipelines, and frameworks such as Django or Flask is common, along with proficiency in Ubuntu server environments. Problem-solving, effective communication, and teamwork are essential soft skills that help engineers collaborate and troubleshoot efficiently. These combined skills ensure robust, secure, and scalable software solutions in dynamic development and server management environments.

What are some unique challenges faced by python software engineers working on Ubuntu Server certification projects?

Python Software Engineers involved in Ubuntu Server Certification often encounter challenges related to ensuring compatibility across a diverse range of hardware and software environments. They must rigorously test scripts and automation tools to work seamlessly with various Ubuntu Server releases and hardware vendors’ platforms. Additionally, engineers need to stay updated on both Ubuntu’s evolving certification requirements and best practices for reliable, scalable automation. Collaboration with QA teams, hardware partners, and upstream developers is essential to quickly resolve issues and maintain high certification standards.

What is the difference between Python Software Engineer Ubuntu Server Certification vs Python Developer?

AspectPython Software Engineer Ubuntu Server CertificationPython Developer
CertificationsOften requires Ubuntu Server Certification, Linux certifications, and Python expertiseMay have Python certifications but not necessarily Ubuntu-specific
Work EnvironmentPrimarily Linux/Ubuntu server environments, cloud platforms, and backend systemsVaried environments including web, desktop, and data analysis
Industry UsageTech companies, cloud providers, and organizations using Linux-based infrastructureStartups, software firms, and diverse industries

The main difference is that Python Software Engineer Ubuntu Server Certification focuses on Linux-based backend systems with specific Ubuntu expertise, while Python Developers may work across various environments without Linux-specific certifications. The former emphasizes server management and deployment, whereas the latter often involves application development across multiple platforms.

What are popular job titles related to Python Software Engineer Ubuntu Server Certification jobs in Delaware?

For Python Software Engineer Ubuntu Server Certification jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Python Software Engineer Ubuntu Server Certification jobs in Delaware look for?

The top searched job categories for Python Software Engineer Ubuntu Server Certification jobs in Delaware are:

What cities in Delaware are hiring for Python Software Engineer Ubuntu Server Certification jobs?

Cities in Delaware with the most Python Software Engineer Ubuntu Server Certification job openings:

AI Platform Engineer, Python - Lead Software Engineer

JPMorgan Chase & Co.

Wilmington, DE • On-site

$150 - $200/hr

Other

Re-posted 2 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

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78th of 176 rated banks


Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Chief Data and Analytics Office, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Execute creative software solutions, design, development, and technical troubleshooting for AI‑enabled applications.
  • Develop secure, high‑quality production code; review and debug SDK and service integrations.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Identify and automate remediation of recurring issues to improve reliability of AI features and services.
  • Lead evaluation sessions with vendors and internal teams on model capabilities, safety, and integration patterns.
  • Lead communities of practice to share prompt engineering, evaluation methods, and SDK best practices.
  • Add to team culture of diversity, opportunity, inclusion, and respect.
  • Build and ship AI‑powered features using AI (Bedrock or Foundry or Vertex AI), including prompt design, function calling, and SDK/REST integrations (no prior experience required).
  • Implement input/output safety (guardrails, moderation) and comprehensive LLM usage logging/monitoring (no prior experience required)..
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • DevOps: CI/CD pipelines, infrastructure as code, containerization/orchestration, observability, and cloud platforms.
  • Hands‑on experience delivering system design, application development, testing, and operational stability.
  • Advanced proficiency in Python software engineering skills
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Proficiency in automation and continuous delivery methods; strong unit/integration testing discipline.
  • Proficient in all aspects of the Software Development Life Cycle and secure coding practices.
  • Advanced understanding of CI/CD, application resiliency, and security for AI applications.
  • Practical cloud‑native experience.
Preferred qualifications, capabilities, and skills
  • Terraform is a plus
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