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Senior Python Software Engineer Jobs in Vancouver, BC

Neara

Senior Software Engineer (Python)

Vancouver, BC · On-site

$135 - $175/hr

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 ...

Varonis

Senior Software Engineer (Python)

Vancouver, BC · On-site

$100 - $130/hr

Senior Software Engineer - Secure AI Platform (Vancouver, On-Site) The Company: Varonis (Nasdaq ... Expert ‑ level proficiency in Python , including building distributed systems, backend services ...

MasterCard

Senior Software Engineer

Vancouver, BC

... Python, GO Be the force multiplier for automations and enhancements All About You Minimum bachelor's degree in information technology, Computer Science or extensive work experience. Hands-on Software ...

Treewalk

Senior Software Engineer

Vancouver, BC · On-site

$135 - $150/hr

The Senior Software Engineer will be the hands‑on architect and builder of the new systems ... Strong command of at least one modern backend language (Node.js/TypeScript, Python, Go, or similar)

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Senior Python Software Engineer information

What is the difference between Senior Python Software Engineer vs Python Developer?

AspectSenior Python Software EngineerPython Developer
Required CredentialsBachelor's degree in CS or related field, experience in software engineeringBachelor's degree in CS or related field, coding proficiency
Work EnvironmentDesigning complex systems, leading projects, mentoringWriting code, developing applications, debugging
Employer & Industry UsageTech companies, startups, enterprise softwareWeb development, data analysis, automation projects
Common Search & Comparison IntentUnderstanding senior-level roles, responsibilities, and skillsEntry to mid-level coding roles, project involvement

The main difference between a Senior Python Software Engineer and a Python Developer lies in experience, responsibilities, and scope. Senior engineers typically lead projects, design system architecture, and mentor junior staff, while Python Developers focus on coding, application development, and implementation. Both roles require strong Python skills and relevant credentials, but senior roles demand more experience and leadership capabilities.

What are some common challenges faced by Senior Python Software Engineers when leading complex projects, and how can they be addressed?

Senior Python Software Engineers often face challenges such as balancing hands-on coding with mentoring junior team members, managing technical debt, and designing scalable solutions. Successfully addressing these challenges involves clear communication, proactive code reviews, and effective prioritization of tasks. Collaborating closely with cross-functional teams and fostering a culture of knowledge sharing can also help ensure project success and team growth.

What are the key skills and qualifications needed to thrive as a Senior Python Software Engineer, and why are they important?

To thrive as a Senior Python Software Engineer, you need advanced proficiency in Python programming, strong problem-solving abilities, and a solid background in computer science or a related field. Familiarity with frameworks like Django or Flask, experience with version control systems such as Git, and knowledge of cloud platforms and CI/CD tools are typically required. Leadership, effective communication, and mentorship skills help you collaborate with teams and guide junior developers. These skills ensure the delivery of robust, scalable software solutions and foster a productive, innovative development environment.

What does a Senior Python Software Engineer do?

A Senior Python Software Engineer designs, develops, tests, and maintains complex software applications using the Python programming language. They often lead or mentor junior developers, architect software solutions, and ensure best coding practices are followed. These professionals collaborate with cross-functional teams to deliver scalable and efficient systems, troubleshoot issues, and optimize application performance. Their expertise includes advanced knowledge of Python frameworks, libraries, and development tools, as well as experience with databases, APIs, and cloud services.
What are popular job titles related to Senior Python Software Engineer jobs in Vancouver, BC? For Senior Python Software Engineer jobs in Vancouver, BC, the most frequently searched job titles are:
What job categories do people searching Senior Python Software Engineer jobs in Vancouver, BC look for? The top searched job categories for Senior Python Software Engineer jobs in Vancouver, BC are:
Senior Python Software Engineer jobs near you

Senior Python Software Developer

PDF Solutions

Vancouver, BC

CA$120K - CA$155K/yr

Full-time

Posted 23 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

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