Full-stack Software Engineer Senior Consultant I

United StatesRemoteFull-timesenior

OtherFull Stack Software Engineer

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Quick Summary

Overview

This position is listed on behalf of a partner company, who manages all applications and next steps.

Technical Tools

OtherFull Stack Software Engineer

This role is a hands-on full-stack engineering opportunity focused on building and supporting secure, scalable enterprise applications.
You will contribute across frontend, backend, integration, cloud, and conversational application layers.
The position combines modern technologies such as React, Java/Spring Boot, Python, and cloud-native platforms.
You will build intuitive user experiences, including production chatbot interfaces and real-time conversational workflows.
The role offers opportunities to contribute to architecture, DevOps, security, performance, and operational excellence.
You will work closely with product owners, architects, engineers, and business stakeholders in an agile environment.
The position is ideal for an engineer who enjoys solving complex problems while delivering reliable technology at enterprise scale.

Design, develop, test, deploy, and support full-stack features using React, TypeScript/JavaScript, Java/Spring Boot, and Python.
Build responsive, reusable React components and intuitive application workflows.
Develop and maintain secure, scalable RESTful APIs and backend microservices.
Implement integrations between internal applications and external vendor platforms.
Develop chatbot interfaces and conversational experiences, including message streams, interaction flows, structured and unstructured response rendering, user input validation, and real-time backend integration.
Build cloud-native applications using Azure or AWS and contribute to containerization and orchestration using Docker and Kubernetes.
Support CI/CD pipelines and automation using tools such as Azure DevOps, Jenkins, or GitHub Actions.
Partner with architecture and platform teams on security, performance, monitoring, reliability, and scalability.
Participate in Agile ceremonies, requirements refinement, technical discussions, code reviews, and solution design.
Maintain high engineering standards through unit testing, integration testing, secure coding practices, and maintainable architecture.
Contribute to enterprise AI and conversational experiences, including opportunities to integrate LLM services into applications and workflows.

Requirements

~2 min read

2+ years of professional full-stack software development experience.
Strong hands-on experience with React and modern TypeScript/JavaScript development.
Strong backend development experience with Java, Spring Boot, and/or Python.
Production experience building chatbot user interfaces and conversational application features.
Solid understanding of microservices architecture and cloud-native development principles.
Experience with Docker and Kubernetes, as well as Linux-based environments.
Experience with relational and/or NoSQL databases such as SQL Server, PostgreSQL, MongoDB, or DocumentDB.
Strong knowledge of RESTful API design, development, and integration.
Experience with cloud platforms, particularly Microsoft Azure; AWS experience is also valuable.
Familiarity with enterprise security, compliance, operational, and software development best practices.
Experience with messaging technologies such as Kafka, Azure Service Bus, or Event Hubs is a plus.
Familiarity with DevOps automation, CI/CD, Jenkins, pipeline orchestration, or MLOps is beneficial.
Exposure to LLM integration, conversational AI, or technologies such as Azure OpenAI, LangChain, or Semantic Kernel is preferred.
Knowledge of Azure AI Search, Azure Machine Learning, ADLS, Microsoft Fabric, vector databases, or related AI/ML technologies is a plus.
Bachelor’s degree in Computer Science, Engineering, or a related field is preferred.
Strong problem-solving, communication, collaboration, and Agile development skills.
Ability to work effectively within a large enterprise environment with governance, security, and compliance requirements.
Successful candidates will be required to complete a background investigation.
Candidates should be authorized to work in the United States; employment-based visa sponsorship is generally not available for this position.