1 hour ago
Hyderābād, IndiaEntry Level
Responsibilities
- Develop backend services and REST APIs supporting AI and machine learning workloads.
- Integrate applications with databases, model endpoints, generative AI services, enterprise applications, and external services.
- Create and maintain Docker configurations and support Kubernetes deployments, services, configuration, secrets, and scaling.
- Support Azure cloud configuration across compute, networking, storage, identity, monitoring, serverless, and AI services.
- Use Git and GitHub workflows to support automated build, testing, security-check, and deployment pipelines.
- Implement validation, error handling, logging, telemetry, API documentation, identity controls, secret management, and network security.
- Write unit, integration, API, and basic load tests and investigate defects and production issues.
- Support asynchronous jobs, background processing, scheduled workloads, service-to-service communication, reliability, scalability, availability, and disaster recovery.
- Participate in code reviews, sprint planning, backlog refinement, demonstrations, technical documentation, and cross-functional collaboration.
- Complete assigned pre-joining technical training, hands-on exercises, knowledge checks, readiness assessment, and an AI-enabled API capstone.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Electronics, or a related field.
- 0 to 2 years of relevant experience, including internships, academic projects, or personal projects.
- Programming knowledge in Python, C#, Java, JavaScript, or a similar language.
- Understanding of object-oriented programming, data structures, algorithms, HTTP, REST APIs, JSON, databases, and SQL.
- Basic familiarity with Linux command-line operations.
- Strong troubleshooting, analytical, communication, collaboration, and documentation skills.
- Preferred exposure to Microsoft Azure, FastAPI, Flask, ASP.NET Core, Node.js, Docker, Kubernetes, GitHub Actions, or Azure DevOps.
- Preferred exposure to Azure AI Foundry, Azure Machine Learning, Azure OpenAI, or Power Platform.
- Basic understanding of queues, caching, serverless functions, asynchronous processing, OAuth, managed identities, role-based access control, and secrets management.
Benefits
- Comprehensive employee benefits package.
- Flexible work approach supporting work-life balance.
- Inclusive culture with career growth and leadership opportunities.
- Regular support from a Career Coach for career goals and development.
- Selected candidates must complete mandatory pre-joining training and a capstone before joining or deployment.
Tech Stack
About Crowe LLP
Crowe LLP is a public accounting and consulting partnership based in Chicago that provides audit, tax, advisory, and technology-enabled consulting to companies, nonprofits, and public-sector clients. It operates as part of the Crowe Global network, which includes 300+ independent firms across 150+ countries. Founded in 1942, Crowe serves U.S. and international clients across regulated industries such as financial services, healthcare, manufacturing, and the public sector.