Full-stack Software Engineer Senior Consultant I

New

JobgetherEnterprise software

Fully remote work opportunity within the United States.Full-TimeSenior

Salary85,000 - 145,075 USD per year

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Job Details

Experience: 2+ years of professional full-stack software development experience.
Required Skills: DockerPythonJavaJavascriptKubernetesSpring BootTypeScriptReactRESTful APIs

Have 2+ years of professional full-stack software development experience.
Bring strong hands-on experience with React and modern TypeScript/JavaScript development.
Have backend development experience with Java, Spring Boot, and/or Python.
Have production experience building chatbot user interfaces and conversational application features.
Understand microservices architecture and cloud-native development principles.
Have experience with Docker, Kubernetes, and Linux-based environments.
Have experience with relational and/or NoSQL databases, such as SQL Server, PostgreSQL, MongoDB, or DocumentDB.
Have strong knowledge of RESTful API design, development, and integration.
Have experience with cloud platforms, particularly Microsoft Azure; AWS experience is also valuable.
Be familiar with enterprise security, compliance, operational, and software development best practices.
A bachelor’s degree in Computer Science, Engineering, or a related field is preferred.

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 interaction flows, response rendering, input validation, and real-time backend integration.
Build cloud-native applications using Azure or AWS and contribute to containerization and orchestration with 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 engineering standards through unit and integration testing, secure coding practices, and maintainable architecture.
Contribute to enterprise AI and conversational experiences, including integrating LLM services into applications and workflows.

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