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Python Programmer Jobs in Nova Scotia (NOW HIRING)

Scripting or programming experience (e.g., Java, Python, JavaScript). * Exposure to API testing and related tools. * ISTQB certification or equivalent is an asset. What We Offer * A hybrid work ...

Operations Analyst

Halifax, NS · Hybrid

CA$65K - CA$75K/yr

Princeton, NJ (Hybrid) Position Summary The Underwriting Operations Analyst is a Python & Intelligent Automation Developer - Underwriting Operations is responsible for designing and deploying end-to ...

New

Senior Solution Engineer

Halifax, NS · Hybrid

CA$90K - CA$95K/yr

We are looking for a Senior Solution Engineer to join our team and help deliver key initiatives ... Scripting experience (Groovy, Shell, Python). We offer: * A multinational organization with 60 ...

Programming experience, especially in MATLAB, Python or C++; Experience with databases and SQL; Experience using Version Control Software (Perforce, Git). Why choose Weir: Be part of a global ...

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Python Programmer information

Are Python programmers in demand?

Python programmers are in high demand across various industries due to the language's versatility, ease of use, and widespread adoption in data science, web development, and automation. Employers seek professionals with skills in frameworks like Django or Flask and knowledge of libraries such as Pandas and NumPy, making Python a valuable skill for software development careers.

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

To thrive as a Python Programmer, you need strong proficiency in Python programming, understanding of algorithms, and a background in computer science or related fields. Familiarity with development tools like Git, testing frameworks such as PyTest, and experience with libraries like Django or Flask are typically required. Problem-solving ability, attention to detail, and effective teamwork are standout soft skills for this role. These skills ensure the development of reliable, scalable software solutions and smooth collaboration within technical teams.

Will AI replace Python coders?

AI tools can automate certain programming tasks, but Python programmers are essential for designing, developing, and maintaining complex software systems. AI is more likely to augment the work of Python developers rather than replace them entirely, especially as coding requires problem-solving and creativity that AI cannot fully replicate.

What Do Python Programmers Do?

A Python programmer uses the programming language called Python to write code for various applications, including big data manipulation, web servers, program scripting, and more. In this career, the software allows you to program quicker using fewer lines, which creates an easy-to-read code. You can find work in web or game development, data visualization, and analyzing data, among others. Your job duties vary based on your specialization, but they usually include working with files and extensive support libraries, creating, testing and implementing new or updated applications, and examining the code to spot problems.

What are some common challenges Python Programmers face when working on large-scale projects, and how can they overcome them?

Python Programmers working on large-scale projects often encounter challenges such as managing code maintainability, optimizing performance, and coordinating with cross-functional teams. To address these, it’s essential to follow best practices like modular programming, using virtual environments, and employing version control systems such as Git. Regular code reviews and clear communication within the team help maintain code quality and ensure everyone is aligned. Leveraging frameworks and libraries effectively can also streamline development and reduce repetitive tasks.

What is Python coding salary?

The salary for a Python programmer varies based on experience, location, and industry, but typically ranges from $60,000 to $120,000 annually in many regions. Entry-level positions may start around $50,000, while experienced developers with specialized skills or certifications can earn over $130,000 per year.

What is the difference between Python Programmer vs Software Developer?

AspectPython ProgrammerSoftware Developer
Required CredentialsTypically a degree in Computer Science or related field; proficiency in PythonDegree in Computer Science or related; proficiency in multiple programming languages including Python
Work EnvironmentOften in tech companies, startups, or freelance projects focused on Python-based tasksIn various industries, working on full software solutions, often across multiple languages and platforms
Employer & Industry UsageTech firms, data analysis, automation projectsSoftware firms, IT departments, app development

While a Python Programmer specializes in Python coding, a Software Developer works on broader software solutions, often using multiple languages. Both roles require similar foundational skills, but Software Developers typically handle more comprehensive project responsibilities.

What are Python Programmers?

Python Programmers are software developers who specialize in writing code using the Python programming language. They design, develop, and maintain applications or systems, often working on tasks such as web development, data analysis, machine learning, automation, and scripting. Python Programmers need strong problem-solving skills and a good understanding of programming concepts. They often collaborate with other developers, data scientists, and stakeholders to build efficient and scalable solutions.

What jobs can I do with Python programming?

Python programmers can work in roles such as software developers, data analysts, data scientists, machine learning engineers, automation specialists, and web developers. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with tools such as Git and cloud platforms. Python's versatility makes it applicable across industries including finance, healthcare, and technology.
What are popular job titles related to Python Programmer jobs in Nova Scotia? For Python Programmer jobs in Nova Scotia, the most frequently searched job titles are:
What are popular job titles related to Python Programmer jobs in NS? For Python Programmer jobs in NS, the most frequently searched job titles are:
Senior AI Engineer, Platform Engineering

Senior AI Engineer, Platform Engineering

ResMed

Halifax, NS

Full-time

Posted 23 days ago


ResMed rating

7.4

Company rating: 7.4 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

142nd of 209 rated software companies


Job description

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations.

The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency.

About the Role:
We are seeking a Senior AI Engineer - Platform Engineering to design, build, and deploy intelligent agent-based solutions that solve business and engineering problems.
You will leverage cloud-native and AI platform capabilities to develop production-grade AI applications, autonomous workflows, and Retrieval-Augmented Generation (RAG) solutions that improve productivity, automate complex processes, and enhance decision-making across the organization.
This role requires a strong blend of software engineering, AI application development, systems integration, and solution architecture. The ideal candidate has hands-on experience building AI agents, Retrieval-Augmented Generation (RAG) solutions, and tool-driven workflows using modern LLM frameworks.
Responsibilities:
Design, build, and deploy AI agents and agentic workflows that solve business and engineering challenges using modern LLM frameworks.
Develop AI-powered applications leveraging Retrieval-Augmented Generation (RAG), vector databases, embeddings, tool calling, and agent orchestration patterns.
Optimize retrieval quality and response accuracy through chunking strategies, metadata enrichment, hybrid search, reranking, evaluation, and continuous improvement.
Integrate AI solutions with enterprise platforms such as GitHub, Jira, Confluence, Datadog, Slack, Kubernetes, and internal APIs.
Develop reusable connectors, tools, and agent capabilities that enable agents to retrieve information and perform actions across systems.
Establish best practices for testing, evaluation, observability, security, and governance of AI applications.
Monitor and optimize agent performance, reliability, latency, accuracy, and cost while troubleshooting production issues and continuously improving solution quality.
Required Qualifications:
5+ years of experience in Software Engineering, Platform Engineering, or Cloud Engineering
Hands-on experience building AI applications using frameworks such as LangGraph, Strands Agents, OpenAI Agents SDK, or similar agent orchestration frameworks.
Strong programming skills in TypeScript, Go and/or Python
Experience designing and building microservice applications
Experience integrating APIs and enterprise systems
Hands-on experience building production AI applications using LLMs
Strong understanding of:
Retrieval-Augmented Generation (RAG)
Vector databases and embeddings
Tool calling and agent orchestration
Structured outputs, context engineering, and agent orchestration
AI evaluation and observability
Preferred Qualifications:
Experience building AI copilots, digital assistants, or autonomous agents
Experience integrating AI solutions with GitHub, Jira, Slack, Datadog, Confluence, or similar enterprise platforms
Experience with vector databases such as OpenSearch
Experience with AI observability and evaluation tools such as Langfuse or Datadog LLM Observability
Experience building MCP servers and agent interoperability patterns
Experience with Kubernetes and cloud-native platforms
What Success Looks Like:
Deliver production-ready agentic AI solutions that solve real business and engineering challenges
Build reusable AI workflows, tools, and integrations that accelerate adoption across teams
Improve productivity and operational efficiency through intelligent automation
Drive measurable outcomes through scalable, secure, and reliable AI applications

Joining us is more than saying "yes" to making the world a healthier place. It's discovering a career that's challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.


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