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. Your role will include, but  isn’t  limited to:     B ridge 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 u se 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 u phold 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.  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 or   equivalent cloud provider   is sufficient ), including Azure Functions, Container Apps, API development, event-driven architectures, and scalable backend services   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.   (Nice to have)   Knowledge of agile software development lifecycles (SDLC) and experience working on projects that follow an Agile Scrum methodology .   ( Nice to have)   Experience with   monitoring and telemetry frameworks, audit logging, operational data stores, and cloud observability tools to support enterprise-grade applications.   (Nice to have)   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.   (Nice to have)   Knowledge of agile software development lifecycles (SDLC) and experience working on projects that follow an Agile Scrum methodology .   (Nice to have)   This role does not require professional engineering