Full Stack Engineer

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Alpharetta GA
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Role Description s and Skill Sets
This document outlines the role descriptions and required skill sets for various engineering positions across different experience levels. It includes mandatory and preferred skills for each role and level, along with a summary of common skills.
Full Stack Engineer
Entry Level (1 5 years)
Mandatory

Skills:

- Java
- Spring Boot
- Angular or React
- Basic SQL (SQL Server, DB2)
- REST API development
Preferred

Skills:

- Python
- Exposure to Kafka, Elastic Search
- Familiarity with CI/CD tools (Jenkins, Git Hub, Azure Dev Ops)
- Basic cloud knowledge (AWS/Azure)
Mid Level (5 12 years)
Mandatory

Skills:

- Strong Java & Spring Boot expertise
- Advanced Angular/React
- Microservices architecture
- SQL + No

SQL databases
Preferred

Skills:

- Kafka, Elastic Search
- Python
- Dev Ops practices (Docker, Kubernetes)
- Cloud deployment experience
Expert (12+ years)
Mandatory

Skills:

- Full-stack architecture design
- Performance optimization & scalability
- Advanced security and API governance
- Strong Java & Spring Boot expertise
- Advanced Angular/React
- Microservices architecture
- SQL + No

SQL databases
Preferred

Skills:

- AI/ML integration in applications
- Leadership in cross-functional teams
- Cloud-native architecture
AI/ML Engineer
Entry Level (1 5 years)
Mandatory

Skills:

- Python
- Tensor Flow/PyTorch basics
- Understanding of ML algorithms
Preferred

Skills:

- Exposure to data preprocessing tools (Pandas, Num Py)
- Basic cloud AI services
Mid Level (5 12 years)
Mandatory

Skills:

- Model development & deployment
- REST API integration for ML models
Preferred

Skills:

- Experience with NLP, deep learning
- Cloud ML platforms (AWS Sage Maker, Azure AI)
Expert (12+ years)
Mandatory

Skills:

- Designing scalable ML systems
- Advanced statistical modeling
Preferred

Skills:

- Leadership in AI strategy
- Cutting-edge frameworks (Transformers, LLMs)
Data Engineer
Entry Level (1 5 years)
Mandatory

Skills:

- SQL
- Python
- Basic ETL concepts
Preferred

Skills:

- Hadoop ecosystem basics
- Familiarity with Kafka
Mid Level (5 12 years)
Mandatory

Skills:

- Data pipeline development
- SQL
- Python
- Spark, Hive, Airflow
Preferred

Skills:

- Cloud data platforms (AWS/GCP/Azure)
- No

SQL databases
Expert (12+ years)
Mandatory

Skills:

- Big Data architecture design
- Performance tuning for large-scale systems
- SQL
- Python
Preferred

Skills:

- Advanced data governance & security
- AI-driven data processing
Summary of Common Skills Across Roles
Common Mandatory

Skills:

- Java
- Spring Boot
- Python
- SQL Server
- DB2
- REST APIs
- Version control (Git)
- Basic Dev Ops (CI/CD)
Common Preferred

Skills:

- Kafka
- Elastic Search
- Cloud platforms (AWS/Azure/GCP)
- Containerization (Docker, Kubernetes)
- AI/ML exposure for senior roles

Amitabh (AB)
Talent Acquisition (DC AMERICAS & Canada) 41 Madison Ave, Floor 35, New York, NY | T  Ext. 0000 | CUG Ext. #5610000 | M
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