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.

As a Developer, Senior Associate, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career.

• 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.

Your skills, knowledge, and experiences are what set you apart.

• Bachelors or Masters degree in Computer Science, Software Engineering or similar
• Full-Stack Development or Backend
  
  Experience:
  
  Proficiency in Python and/or C#, with experience building production‑ready applications, integrating services, developing APIs, and implementing modern software engineering best practices.
• Dev Ops, CI/CD, and Engineering Governance:
  Strong understanding of Azure Dev Ops, 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.
• 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 life cycles (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, Git Hub, Azure Dev Ops, Bootstrap, Node.js, Python, OpenAI ChatGPT APIs or Azure OpenAI arenice to have experience for this role.
• Knowledge of agile software development life cycles (SDLC) and experience working on projects that follow an Agile Scrum methodology.

This role does not require professional engineering licensure and is not classified as a formal engineering position…