Developer III - Solution Architect

Hexaware Technologies
Alpharetta, GA, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Applications Architecture Automation of Tests Cloud Engineering Continuous Integration Information Engineering DevOps Distributed Systems Python (Programming Language) Strategies of Testing
+17 more
Retrieval-Augmented Generation Large Language Models Prompt Engineering Apache Spark Spring-boot IT Architecture Generative AI Agentic-AI Pyspark Information Technology Graphql Data Management Api Design Data Pipelines Docker Amazon Redshift Microservices

Job description

  • Lead solution design and architecture discussions with business and technical stakeholders.
  • Design scalable cloud-native solutions using AWS Redshift, RDS, Glue, DMS, ECS, and Bedrock.
  • Develop applications and services using Java (Spring Boot, Microservices) and Python.
  • Design and optimize data pipelines, integration patterns, and data platforms.
  • Build Generative AI solutions using AWS Bedrock, including RAG, prompt engineering, and agentic workflows.
  • Own testing strategy, automation, quality engineering, and production readiness.
  • Collaborate across engineering, product, and data teams in an Agile environment.
  • Provide technical leadership, architecture guidance, and mentorship.

Requirements

  • Solution Architecture & System Design
  • Java, Spring Boot, Microservices
  • Python, APIs, Data Engineering
  • AWS: Redshift, RDS, Glue, DMS, ECS, Bedrock
  • Generative AI, LLMs, RAG, Prompt Engineering
  • Testing Strategy, Test Automation & Quality Engineering
  • Distributed Systems & Cloud-Native Architecture
  • CI/CD, DevOps Practices
  • Strong stakeholder management and communication skills

<>Preferred Skills

  • Apache Spark (PySpark/Scala)
  • GraphQL API Development
  • Docker & Kubernetes
  • Vector Databases and GenAI Ecosystem Tools

<>Education

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

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