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Python Software Engineer Ubuntu Server Certification Jobs in Bradenton, FL

Woodcrest Search

DevOps Engineer

Sarasota, FL · On-site

$49 - $67/hr

... Engineer with AWS experience to join the tech team. As a DevOps Engineer, you'll be working ... Advanced Linux (specifically Ubuntu) knowledge. * Ability to code in: BASH, Python, and Javascript ...

Woodcrest Search

DevOps Engineer

Sarasota, FL

$49 - $67/hr

... Engineer with AWS experience to join the tech team. As a DevOps Engineer, you'll be working ... Advanced Linux (specifically Ubuntu) knowledge. * Ability to code in: BASH, Python, and Javascript ...

Kavaliro

Software Developer (TS/SCI)

Sarasota, FL · On-site

$130K - $140K/yr

Kavaliro is seeking a Software Developer for our client to join an experienced engineering team ... Python development experience is preferred * Experience building, deploying, and maintaining ...

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Kavaliro

X-Midas Developer (TS/SCI)

Sarasota, FL · On-site

$150K - $160K/yr

Strong development experience with C++ and Python * Experience with additional programming languages is a plus * Proven experience developing, deploying, and supporting production software * Hands-on ...

New

Paychex

Security Engineer II

Saint Petersburg, FL · On-site +1

$98K - $154K/yr

You will validate that local administrative rights, endpoint configuration, and installed software ... Python (Programming Language) - Preferred Compensation In the spirit of pay transparency, we are ...

New

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Python Software Engineer Ubuntu Server Certification information

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$20.8K

$126.9K

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How much do python software engineer ubuntu server certification jobs pay per year?

As of Aug 16, 2026, the average yearly pay for python software engineer ubuntu server certification in Bradenton, FL is $126,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $149,100.00 per year, depending on experience, location, and employer.

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 Bradenton, FL?

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

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

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

What cities near Bradenton, FL are hiring for Python Software Engineer Ubuntu Server Certification jobs?

Cities near Bradenton, FL with the most Python Software Engineer Ubuntu Server Certification job openings:

Python Software Engineer Ubuntu Server Certification jobs near you

Machine Learning Engineer

Roper Technologies

Sarasota, FL • On-site

Full-time

Re-posted 10 days ago

Roper Technologies rating

8.7

Company rating: 8.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

55th of 244 rated software companies

Job description

Roper Technologies is seeking a Machine Learning Engineer to help design, build, and deploy advanced AI systems across our portfolio of market-leading software businesses.
This role will focus on developing scalable machine learning products and services, shared AI components, and intelligent agents that drive meaningful business impact. Depending on experience level, the role may involve leading architectural initiatives, mentoring engineers, and shaping technical strategy.
We are looking for hands-on engineers who are excited about building production-grade AI systems-not just prototypes-and who thrive in a high-impact, applied environment. Candidates who have demonstrated ability to think through product as well as engineering are highly desired.
What You'll Do
AI & ML System Development
  • Design, build, and deploy machine learning models and AI systems in production environments
  • Develop components such as:
    • Model inference services
    • Data and feature pipelines
    • Complex recommendation and matching services
    • Vision based analysis systems
    • Evaluation and monitoring pipelines
  • Optimize models for performance, reliability, and cost efficiency

Intelligent Agents & Applied AI
  • Contribute to the development of AI agents and multi-step workflow automation systems
  • Build systems that integrate with enterprise tools and APIs
  • Implement tool-use frameworks, memory mechanisms, and evaluation loops
  • Experiment with LLMs, foundation models, and fine-tuning approaches
  • Help translate AI research advances into practical, scalable solutions

Engineering Excellence
  • Write high-quality, maintainable, and well-tested code
  • Participate in architecture design and technical reviews
  • Contribute to CI/CD pipelines and MLOps workflows
  • Implement observability and monitoring for AI systems in production
  • Follow security, compliance, and responsible AI best practices

Cross-Functional Collaboration
  • Partner with product, data engineering, and infrastructure teams
  • Help identify high-impact AI use cases within portfolio companies
  • Support integration of shared AI components into business applications
  • Communicate technical tradeoffs clearly to both technical and non-technical stakeholders

Qualifications
We welcome candidates across a range of experience levels. The scope and seniority of responsibilities will scale accordingly.
Required
  • 3+ years of experience in software engineering, data science, or machine learning (more for senior roles)
  • Experience building and deploying production software systems
  • Strong programming skills in Python (experience in additional languages is a plus)
  • Familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Understanding of modern AI architectures, including LLM-based systems
  • Experience working with cloud environments (AWS, Azure, or GCP)
  • Strong problem-solving skills and attention to detail

Preferred
  • Experience with:
    • Fine tuning, experimentation, etc.
    • Rapid development using AI tools
    • Agent frameworks and orchestration tools
    • Distributed systems or microservices architecture
    • Model monitoring and evaluation frameworks
  • Experience building reusable libraries or shared infrastructure
  • Exposure to SaaS products or enterprise software environments
  • Background in optimizing models for performance and cost

Leveling & Growth
We are hiring across multiple experience levels:
  • Intermediate ML Engineer - Contributes independently to projects, builds production features, collaborates cross-functionally.
  • Senior ML Engineer - Owns complex systems end-to-end, drives architectural decisions, mentors others.
  • Principal / Staff ML Engineer - Defines technical direction, leads cross-portfolio initiatives, designs shared frameworks and scalable AI infrastructure.

Level and compensation will be determined based on experience and demonstrated expertise.
What We Value
  • Strong engineering fundamentals
  • Practical, impact-driven AI development
  • Curiosity and willingness to experiment responsibly
  • Ownership mindset and bias toward execution
  • Ability to balance innovation with reliability

Why Join Roper
  • Work on high-impact AI systems across a diverse portfolio of leading software businesses
  • Build reusable infrastructure that scales across industries
  • Collaborate with experienced engineering and executive leadership
  • Shape the next generation of intelligent enterprise software

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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