Developer, Senior Associate

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Senior Associate

Job Description & Summary

At PwC, our Software engineers blend modern data and software engineering with applied AI to design and deliver intelligent, production‑grade solutions for clients. We turn enterprise data into AI‑powered outcomes to support decision‑making, automate workflows, and unlock new sources of value with AI.

The Opportunity

As a Developer, Senior Associate, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t limited to:

• Bridge Cloud, Data, and AI delivery teams by providing software engineering depth, AI application development experience and enterprise-grade cloud implementation skills.

• You will respond to the diverse perspectives, needs, and feelings of others. You will use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.

• Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others.

• Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths.

• Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

• At PwC our candidates must also uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

What You'll Bring
Your skills, knowledge, and experiences are what set you apart. Here's what we look for:

• Bachelors or Masters degree in Computer Science, Software Engineering or similar    

• Full-Stack Development or Backend Expertise: Proficiency in Python and/or C#, with experience building production-ready applications, integrating services, developing APIs, and implementing modern software engineering best practices.

• DevOps, CI/CD, and Engineering Governance: Strong understanding of Azure DevOps, Git-based development, YAML pipelines, release management, environment promotion, code quality practices, and software delivery lifecycle management

• System Integration, Observability, and Data Engineering Fundamentals: Experience with SQL and API integrations

• Cloud-Native Software Engineering: Proven experience designing, developing, and deploying cloud-native applications on Azure (Preference is Azure but equivalent cloud provider is sufficient), including Azure Functions, Container Apps, API development, event-driven architectures, and scalable backend services

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Nice to have:

• Agentic AI and Intelligent Application Development: Hands-on experience building AI-enabled solutions using technologies such as Azure AI Foundry, Azure OpenAI, multi-agent frameworks, prompt engineering, and intelligent workflow orchestration.

• Knowledge of agile software development lifecycles (SDLC) and experience working on projects that follow an Agile Scrum methodology.

• Experience with monitoring and telemetry frameworks, audit logging, operational data stores, and cloud observability tools to support enterprise-grade applications.

• ASP.NET, Azure Cloud, Azure Functions and Logic Apps, Angular, React.js, Next.js, Azure Integration Services, LINQ, MS SQL Server, Entity Framework, GitHub, Azure DevOps, Bootstrap, Node.js, Python, OpenAI ChatGPT APIs or Azure OpenAI are nice to have experience for this role.

• Knowledge of agile software development lifecycles (SDLC) and experience working on projects that follow an Agile Scrum methodology.

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• This role does not require professional engineering licensure and is not classified as a formal engineering position under provincial regulatory definitions. While individuals with a P.Eng designation are welcome to apply, the responsibilities of this role do not involve the practice of professional engineering as defined by applicable legislation.

This position ensures continuity and upholds our standards of excellence following the departure of a valued team member.

The salary range for this position is $87,700 - $137,700. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Why you’ll love PwC  

We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc 

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation, Empathy {+ 18 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

July 29, 2026

We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.

The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).

Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.

L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).