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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing automation solutions using C#/.NET, Python, and SQL, while integrating AI and machine learning frameworks on Microsoft Azure. Proficient in REST API development, CI/CD practices, and effective communication with both technical and non-technical stakeholders.
Highest-signal resume keywords
C#/.NET DevelopmentPython ProgrammingREST API DevelopmentMicrosoft AzureAI and Machine Learning
ATS Keywords
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Hard Skills
SQLReactNext.jsDjangoUnit TestingMSTestAzure Application InsightsDockerGitData Pipelines
Soft Skills
Analytical Problem-SolvingEffective CommunicationTeam CollaborationAttention to DetailProactive Attitude
Tools & Technologies
Microsoft Dynamics 365SharePointPower BIVisual StudioVisual Studio CodeAzure Data StudioPostmanSwaggerEntra IDOAuth 2.0
Certifications & Qualifications
Microsoft Azure Certifications
Industry Keywords
Agile MethodologyScrumDevOpsMLOpsGenerative AINLPOCRAccounting Technology
Tech Stack
Tools & technologiesAzureCloudDjangoDockerJavaScriptMicroservicesMS SQL ServerNext.jsNoSQLPythonPyTorchReactScikit-LearnSDLCSQLTensorflowTypeScript.NET
About the role
Key responsibilities & impact- Design, develop, test, and deploy automation solutions using C#/.NET, Python, SQL, React, Next.js, and/or Django
- Develop and integrate REST APIs and microservices connecting automation solutions to internal databases, Microsoft Dynamics 365, SharePoint, and Power BI
- Contribute to front-end and back-end development across the full solution stack
- Write unit tests and implement application and audit logging using MSTest, Azure Application Insights, and Serilog
- Monitor solutions, debug issues, and resolve problems
- Read and interpret SDK and API documentation and translate it into working code
- Build, test, and evaluate AI and machine learning solutions on Azure AI Foundry, Azure ML, Azure AI Services, PyTorch, TensorFlow, and scikit-learn
- Develop data pipelines and integration points between AI solutions and business systems
- Implement retrieval-augmented generation patterns, vector stores, knowledge bases, and prompt engineering techniques
- Contribute to agentic and generative AI builds using LangChain, LangGraph, Semantic Kernel, and MCP integrations
- Develop proofs of concept and present findings to the team
- Apply data privacy, security, and responsible AI requirements
- Deploy and support solutions on Azure Cloud using Visual Studio, Visual Studio Code, Azure Data Studio, MS SQL Server, Docker, Postman, and Swagger
- Work within CI/CD pipelines and contribute to containerization and automated testing
- Implement secure authentication using Entra ID, OAuth 2.0, JWT, SAML, and MFA
- Follow MLOps and DevOps practices for versioning, deployment, and monitoring
- Execute work using Agile and Scrum methodology and participate in ceremonies
- Analyze business processes to identify automation and AI opportunities
- Collaborate with Business Analysts, Process Owners, SMEs, Application Architects, and Automation Developers
- Work with tax, audit, and advisory teams to translate domain requirements into technical specifications
- Communicate progress, blockers, findings, and technical concepts to technical and non-technical audiences
- Manage multiple concurrent workstreams
- Stay current with AI, automation, and software development advancements
- Evaluate frameworks, libraries, and platforms and bring recommendations forward
- Create and maintain documentation for solutions, data pipelines, AI models, and system architecture
- Share knowledge through documentation, demos, and internal walkthroughs
- Contribute ideas to improve processes, standards, and solutions
Requirements
What you’ll need- Bachelor's degree in Computer Science, MIS, Software Engineering, Data Science, or a similar field, or equivalent practical experience
- Working knowledge of one or more of C#/.NET, Python, SQL, JavaScript/TypeScript through coursework, internship, or project experience
- Familiarity with at least one modern web framework such as React, Next.js, or Django
- Understanding of version control with Git, REST APIs, and relational and NoSQL databases
- Exposure to cloud platforms, particularly Microsoft Azure
- Exposure to AI and machine learning concepts including machine learning frameworks, large language models, prompt engineering, embeddings, and data pipelines
- Understanding of Agile methodology, Scrum, and the Software Development Lifecycle (SDLC)
- Ability to understand SDKs and platform documentation and translate them into development tasks
- Hyper curious with a continuous learning and growth mindset
- Strong analytical and problem-solving ability and attention to detail
- Effective written and verbal communication, including explaining technical topics to non-technical stakeholders
- Ability to work independently and within a team
- Ability to prioritize across multiple tasks, projects, and deadlines
- Proactive, can-do attitude and comfort working in a fast-paced environment
- Willingness to receive coaching and share expertise over time
- Preferred: project, internship, or coursework experience with AI, GenAI, agentic AI, ML, NLP, or OCR
- Preferred: internship or co-op experience at Aprio or in the accounting technology industry
- Preferred: familiarity with DevOps concepts including CI/CD, Docker, and containerization
- Preferred: experience with Microsoft Power Platform
- Preferred: exposure to generative AI frameworks such as LangChain, LangGraph, or Semantic Kernel
- Preferred: progress toward Microsoft Azure certifications
- Preferred: experience with unit testing frameworks and structured logging practices
Benefits
Comp & perks- Medical, Dental, and Vision Insurance on the first day of employment
- Flexible Spending Account and Dependent Care Account
- 401k with Profit Sharing
- 9+ holidays and discretionary time off structure
- Parental Leave – coverage for both primary and secondary caregivers
- Tuition Assistance Program and CPA support program with cash incentive upon completion
- Discretionary incentive compensation based on firm, group and individual performance
- Incentive compensation related to origination of new client sales
- Top rated wellness program
- Flexible working environment including remote and hybrid options
- Competitive compensation
- Industry-leading benefits
- Growth opportunities and continuous learning
- Collaborative culture
- Work/life balance
