Software Engineer III Full-stack

Jobgether; United States; Remote; USD 140,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) retirement plan with employer匹配

Paid parental leave

Job summary

Jobgether is seeking an experienced full-stack engineer to drive the development and delivery of robust software across backend services and frontend applications. You will build and operate cloud-native solutions on AWS, prioritizing reliability, scalability, performance, and security, while contributing to frontend work using React and integrating APIs.

The ideal candidate has deep experience with .NET/C# on the backend, React on the frontend, and practical use of AI-assisted coding tools.

Qualifications

• Experience building, deploying, and maintaining production software systems.
• Strong full-stack skills with .NET/C# on the backend and React on the frontend.
• Hands-on experience with relational and document databases at scale; production performance troubleshooting.

Responsibilities

• Oversee development and delivery of full-stack features aligned with roadmaps and objectives.
• Design, develop, test, and deploy production-ready software across backend services and frontend applications.
• Build and operate cloud-native solutions on AWS with emphasis on reliability, scalability, performance and security.
• Contribute to frontend development, including React component design and API integration.
• Collaborate with Product, QA, and engineering teams to deliver high-quality software.

Skills

Full-stack development

.NET/C# backend

React frontend

AWS cloud

AI-assisted coding tools

Tools

AWS

Relational & document databases

Job description

Accountabilities

You will oversee the development and delivery of full-stack features, ensuring alignment with product roadmaps, organizational objectives, and quality standards.

• - Design, develop, test, and deploy production-ready software across backend services and frontend applications.
• - Build and operate cloud-native solutions on AWS, prioritizing reliability, scalability, performance, and security.
• - Develop and maintain backend services primarily using .NET and C#.
• - Contribute to frontend development, including React component design and API integration.
• - Implement and support Command Query Responsibility Segregation (CQRS) patterns where appropriate.
• - Use AI-assisted coding tools, including Copilot CLI, Claude Code, and Codex, to accelerate feature delivery, refactor code, improve tests, and support documentation.
• - Develop and manage agent-driven coding workflows, coordinating multiple AI agents to build, test, and iterate on features in parallel.
• - Refine code through iterative AI feedback loops, including prompting, validation, and continuous improvement.
• - Review and audit AI-generated code to ensure accuracy, security, maintainability, and compliance with engineering standards.
• - Establish guardrails, validation patterns, and review processes that promote the safe and reliable use of AI-generated output.
• - Manage multiple parallel workstreams effectively, maintaining clarity around feature ownership, dependencies, and deliverables.
• - Collaborate with Product, QA, and engineering colleagues to deliver high-quality software aligned with business objectives.
• - Participate in code reviews and contribute to engineering standards, technical practices, and continuous improvement.
• - Embed security, compliance, and quality considerations throughout the application stack.
• - Support and mentor other engineers through pairing, constructive feedback, and knowledge sharing.

Requirements

The ideal candidate is an experienced full-stack engineer with strong backend and frontend capabilities, cloud expertise, and practical experience using AI tools as part of everyday software development.

• - Demonstrated experience building, deploying, and maintaining production software systems.
• - Strong full-stack development skills, particularly with .NET/C# on the backend and React on the frontend.
• - Hands-on experience with relational and document databases at scale, including schema design, query optimization, and production performance troubleshooting.
• - Proficiency with AWS services and infrastructure, including EC2, ECS, EKS, S3, IAM, Lambda, RDS, and DynamoDB.
• - Practical, day-to-day experience using AI-assisted coding tools to deliver real production software, beyond experimentation or occasional use.
• - Ability to explain clearly how AI-generated code is validated, tested, reviewed, and maintained, demonstrating strong engineering ownership.
• - Understanding of software quality, security, maintainability, and testing best practices.
• - Strong analytical and problem-solving capabilities.
• - Excellent written and verbal communication skills, with the ability to collaborate effectively across teams.
• - Ability to manage competing priorities and work independently while contributing to shared engineering goals.

Preferred qualifications

• - Experience in healthcare, fintech, or other regulated and compliance-driven environments.

Work environment and physical requirements

• - Work is primarily performed in an indoor office environment, involving regular use of computers and printers.
• - The position is largely sedentary, with extended periods of sitting.
• - Requires continuous typing and repetitive movements while using computer hardware and software.
• - Requires sustained concentration on analytical tasks, reading information, and communicating verbally and in writing throughout the workday.
• - Reasonable accommodations may be provided to enable individuals with disabilities to perform essential job functions.
• - Additional duties may be assigned according to business needs.
• - Certain compliance requirements may apply, including background checks, drug screenings, and requests for personal or health information, subject to applicable legal protections and exemptions.

Benefits

• - Annual salary range of $140,000–$160,000 USD .
• - Competitive compensation package.
• - Comprehensive health insurance benefits.
• - 401(k) retirement plan with employer matching contributions.
• - Paid parental leave.
• - Opportunity to work in a collaborative, innovative, and growing technology environment.
• - Exposure to modern cloud technologies and advanced AI-assisted engineering practices.
• - Opportunity to contribute to technology solutions designed to improve healthcare collaboration and reduce waste.