Full Stack Engineer

Need urgent support 5 profiles each, lpharetta G FTC/FTE Brokerage Role Descriptions 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: - Jav - Spring Boot - Angular or React - Basic SQL (SQL Server, DB2) - REST API development Preferred Skills: - Python - Exposure to Kafka, ElasticSearch - Familiarity with CI/CD tools (Jenkins, GitHub, Azure DevOps) - Basic cloud knowledge (AWS/Azure) Mid Level (5-12 years) Mandatory Skills: - Strong Java & Spring Boot expertise - Advanced Angular/React - Microservices architecture - SQL + NoSQL databases Preferred Skills: - Kafka, ElasticSearch - Python - DevOps 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 + NoSQL databases Preferred Skills: - AI/ML integration in applications - Leadership in cross-functional teams - Cloud-native architecture I/ML Engineer Entry Level (1-5 years) Mandatory Skills: - Python - TensorFlow/PyTorch basics - Understanding of ML algorithms Preferred Skills: - Exposure to data preprocessing tools (Pandas, NumPy) - 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 SageMaker, 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 Kafk Mid Level (5-12 years) Mandatory Skills: - Data pipeline development - SQL - Python - Spark, Hive, Airflow Preferred Skills: - Cloud data platforms (AWS/GCP/Azure) - NoSQL 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: - Jav - Spring Boot - Python - SQL Server - DB2 - REST APIs - Version control (Git) - Basic DevOps (CI/CD) Common Preferred Skills: - Kafk - ElasticSearch - Cloud platforms (AWS/Azure/GCP) - Containerization (Docker, Kubernetes) - AI/ML exposure for senior roles mitabh (AB) Talent Acquisition (DC - AMERICAS & Canada) 41 Madison Ave, Floor 35, New York, NY | T +91 80 4004 0000 Ext. 0000 | CUG Ext. #5610000 | M +91 (315) 707-1547 Follow us on: | | Information Transmitted by this Email is Proprietary to Mphasis, its Associated Companies and/or its Customers and is Intended for use only by the Individual or Entity to which it is Addressed, and may contain Information that is Privileged, Confidential or Exempt from Disclosure under Applicable Law. If you are not the Intended Recipient or it appears that this Email has been Forwarded to you without proper Authority, you are Notified that any use or Dissemination of this Information in any manner is Strictly Prohibited. In such cases, please Notify us Immediately at nd delete this Email from your Records. Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Created: 2026-03-04