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Senior Python Developer Jobs in Nova Scotia (NOW HIRING)

Senior Computer Vision Engineer **Must be located in Canada, Ideally Nova Scotia. Innovasea ... Proficient in Python for ML development and C++ for production integration * Hands-on experience ...

A Bachelor's degree in Environmental Engineering, Environmental Science, or a related discipline ... Experience with Python, MATLAB or other numerical modelling software. At BMT we believe in hiring ...

... Python programming language Must be comfortable with Big Data skills including Hive and HQL (Hive Query Language), Hands-on experience in Scala Experience in testing microservices or knowledge using ...

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Senior Python Developer information

See Nova Scotia salary details

$57K

$132.5K

$183.5K

How much do senior python developer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for senior python developer in Nova Scotia is $132,487.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $150,000.00 per year, depending on experience, location, and employer.

What are the main responsibilities of a Senior Python Developer?

A Senior Python Developer is responsible for designing, developing, and maintaining complex software applications using the Python programming language. They lead the technical aspects of projects, mentor junior developers, and ensure code quality through code reviews and best practices. Additionally, they collaborate with cross-functional teams to gather requirements, solve technical challenges, and deploy scalable and efficient solutions. Senior Python Developers are also expected to stay updated with the latest trends and advancements in Python and related technologies.

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

AspectSenior Python DeveloperPython Developer
Required ExperienceTypically 5+ years, with leadership and complex project experienceUsually 1-3 years, focusing on core Python skills
ResponsibilitiesDesigning architecture, mentoring, handling complex systemsWriting code, debugging, implementing features
CertificationsOptional but beneficial (e.g., Python certifications, cloud certs)Often not required
Work EnvironmentCollaborative teams, project planning, code reviewsDevelopment-focused, task-oriented

The main difference between a Senior Python Developer and a Python Developer lies in experience, responsibilities, and leadership. Senior developers handle complex projects, mentor others, and often participate in architecture decisions, while Python Developers focus on coding and feature implementation. Both roles are essential in tech companies, but the senior role requires more experience and broader skills.

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

To thrive as a Senior Python Developer, you need advanced proficiency in Python programming, experience with software architecture, and a solid understanding of algorithms and data structures, usually backed by a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and containerization tools like Docker are typically required, alongside knowledge of modern CI/CD pipelines. Strong problem-solving abilities, effective communication, and leadership skills help you collaborate with teams and mentor junior developers. Mastery of these skills ensures the delivery of scalable, maintainable software solutions and the ability to drive technical excellence within development teams.

What are some common challenges faced by Senior Python Developers when leading a development team?

Senior Python Developers often encounter challenges such as balancing hands-on coding with mentoring junior team members and ensuring code quality across the team. They are also responsible for making architectural decisions, which requires staying updated on best practices and emerging Python frameworks. Additionally, coordinating collaboration between cross-functional teams (like DevOps, QA, and front-end developers) can be complex, especially in agile environments where requirements may shift rapidly. Overcoming these challenges helps foster a productive and innovative team culture.
What are the most commonly searched types of Python Developer jobs in Nova Scotia? The most popular types of Python Developer jobs in Nova Scotia are:
What are popular job titles related to Senior Python Developer jobs in Nova Scotia? For Senior Python Developer jobs in Nova Scotia, the most frequently searched job titles are:
What cities in Nova Scotia are hiring for Senior Python Developer jobs? Cities in Nova Scotia with the most Senior Python Developer job openings:
What are popular job titles related to Senior Python Developer jobs in NS? For Senior Python Developer jobs in NS, the most frequently searched job titles are:
Infographic showing various Senior Python Developer job openings in Nova Scotia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $132,487 per year, or $63.7 per hour.
Senior AI Engineer, Platform Engineering

Senior AI Engineer, Platform Engineering

MatrixCare

Halifax, NS

Full-time

Posted 23 days ago


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.