1

Python Software Engineer Ubuntu Server Certification Jobs in Surrey, BC

Senior Software Engineer (Python) Full Time • Department: Engineering - 102 • Work type: Hybrid Vancouver, British Columbia, Canada Company Cover Genius is a Series E insurtech that protects ...

Senior Software Engineer - Secure AI Platform (Vancouver, On-Site) The Company: Varonis (Nasdaq ... certificates. * Design and implement solutions informed by modern security architectures such as ...

Technical Support Engineer

Vancouver, BC · On-site

CA$65K - CA$72K/yr

... Python applications. * Performs debugging, testing, and troubleshooting of existing software ... Linux experience Ubuntu/RHEL/CentOS * Windows experience Server & Desktop * Debugging multi ...

Participate in all parts of software engineering, ranging from design and implementation of ... Python, C, or C++ * Solid understanding of systems software, including embedded systems and ...

next page

Showing results 1-20

Python Software Engineer Ubuntu Server Certification information

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 the key skills and qualifications needed to thrive as a Python Software Engineer with Ubuntu Server Certification, and why are they important?

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 are Python Software Engineer Ubuntu Server Certification jobs?

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 popular job titles related to Python Software Engineer Ubuntu Server Certification jobs in Surrey, BC? For Python Software Engineer Ubuntu Server Certification jobs in Surrey, BC, the most frequently searched job titles are:
What job categories do people searching Python Software Engineer Ubuntu Server Certification jobs in Surrey, BC look for? The top searched job categories for Python Software Engineer Ubuntu Server Certification jobs in Surrey, BC are:
What cities near Surrey, BC are hiring for Python Software Engineer Ubuntu Server Certification jobs? Cities near Surrey, BC with the most Python Software Engineer Ubuntu Server Certification job openings:
Infographic showing various Python Software Engineer Ubuntu Server Certification job openings in Surrey, BC as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.

Senior Python Software Developer

PDF Solutions

Vancouver, BC • On-site

CA$120K - CA$155K/yr

Full-time

Posted 21 days ago


Job description

Overview

At PDF Solutions, we are at the forefront of revolutionizing the semiconductor industry. Our cutting-edge technologies and data-driven solutions empower semiconductor manufacturers to achieve unprecedented levels of efficiency, quality, and innovation. By joining our team, you'll have the opportunity to work with some of the brightest minds in the industry, tackle complex challenges, and contribute to groundbreaking advancements that shape the future of technology. Headquartered in Santa Clara, California, PDF Solutions also operates worldwide in Canada, China, France, Germany, Italy, Japan, Korea, and Taiwan.

This work involves building robust Machine Leanring (ML) modeling pipeline in Python to achieve desired ML model performance on metrics of customer interest (e.g. yield, tolerance). Broken into steps, the work is roughly an equal mix of tweaking core ML algorithms / pipelines for enhanced model performance with desired computational speed and/or creating deployment-ready software in our proprietary architecture.

This role offers a unique opportunity to deploy non-trivial ML modeling pipeline into production along with associated systems, and seeing the impact of those models in action at some of the world’s largest chip manufacturers for wide variety of use cases. This is not a Hadoop/Spark-focused big data role but rather an ML-focused role but may also include general software engineering tasks as well, depending on what is needed to make the overall product and platform successful and production-ready. Our deployment environment is markedly different from typical cloud deployment with constant access for updates or bug-fixes. Roughly stated, the production requirements are closer to a self-driving robot than a cloud-integrated image recognition service.

An ideal candidate has invested time in continuous learning and implementing algorithms either using an existing framework/library or from scratch and understands failure modes of various algorithms in production. Additionally, the ideal candidate has collaborated with Data Scientists to put ML code into production.


Responsibilities
  • Implementing production grade scalable ML algorithms and analytics solutions
  • Improving computational performance of ML algorithms and analytics solutions
  • Interact with Software Engineers and Data Scientists to create clean API interfaces

Qualifications
  • MS or PhD in Computer Science, EE, Physics or related quantitative field
  • 8+ years of experience in back-end development in python.
  • 4+ years of engineering experience with significant exposure to algorithm implementation/machine learning libraries/frameworks.
  • Experience with relational and NoSQL databases such as Postgresql/Cassandra/Redis or similar.
  • Experience with API calls.
  • Hands-on experience with containers such as Docker.
  • Ability to analyze the bottlenecks and create high performance code.
  • Good understanding of CPU and memory issues in parallel computing

Pay Range
CAD $120,000.00 - CAD $155,000.00 /Yr.Qualifications:
  • MS or PhD in Computer Science, EE, Physics or related quantitative field
  • 8+ years of experience in back-end development in python.
  • 4+ years of engineering experience with significant exposure to algorithm implementation/machine learning libraries/frameworks.
  • Experience with relational and NoSQL databases such as Postgresql/Cassandra/Redis or similar.
  • Experience with API calls.
  • Hands-on experience with containers such as Docker.
  • Ability to analyze the bottlenecks and create high performance code.
  • Good understanding of CPU and memory issues in parallel computing
Education:UNAVAILABLEEmployment Type: FULL_TIME