Alvarez & Marsal (A&M) is looking to design and develop robust, cloud-native systems that power intelligent automation and decision-making, forming the backbone of scalable, AI-ready enterprise applications.
Requirements
- Proficiency in C-Sharp, or Python, with strong knowledge of object-oriented and functional programming principles.
- Hands-on experience developing and deploying Azure Functions, APIs, and event-driven systems.
- Experience integrating with databases and designing data interaction layers for performance and scalability.
- Solid understanding of microservices, serverless architectures, and distributed systems.
- Familiarity with Azure SDKs, Azure Cognitive Services, and cloud security best practices.
- Practical exposure to AI/ML technologies, including LLMs, RAG, and orchestration tools like LangChain, AutoGen, or Semantic Kernel.
Responsibilities
- Design, build, and optimize APIs and Azure Function Apps to deliver performant, reliable, and secure cloud services.
- Write clean, maintainable, and testable code in Python, C-Sharp, or TypeScript.
- Integrate with databases (SQL, NoSQL, or cloud-native data stores) and design effective data access patterns.
- Implement event-driven architectures leveraging Azure Event Grid, Durable Functions, and API Management.
- Rapidly prototype and experiment with new SDKs, APIs, and frameworks to support AI-driven and agentic workflows.
- Develop monitoring, observability, and diagnostic tools to ensure reliability and performance.
- Apply software engineering best practices, including automated testing, CI/CD, and cloud cost optimization.
Other
- 7–10+ years of professional software development experience in backend or full-stack engineering.
- Proven ability as a hands-on problem solver who can translate complex requirements into reliable, maintainable solutions.
- Strong communication and collaboration skills; thrives in agile, iterative development environments.
- The hourly rate is $70-$90 per hour.
