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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Redapt - **Location:** United States - **Experience:** Expert - **Salary:** $150,000.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Application Frameworks, Automation of Tests, C Sharp (Programming Language), Software as a Service, Cloud Engineering, Code Generation, Code Review, Continuous Integration, Data Structures, Cursor (Graphical User Interface Elements), Software Debugging, DevOps, Github, Design of User Interfaces, Infrastructure as a Service (IaaS), Python (Programming Language), Platform as a Service (PAAS), Performance Tuning, Software Tools, Cloud Services, Ansible, Secure Coding, Software Engineering, TypeScript, AWS Cdk, Scripting, GitHub Copilot, Backend, Cloudformation, Gitlab-ci, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Codebase, Front End Software Development, Terraform, Code Restructuring, Serverless Computing - **Published:** August 19, 2026 - **Apply:** https://job-boards.greenhouse.io/redapt/jobs/5389434008 ## About the Role * Expert-level in static-typed languages like C# and Java and proficiency with Python. * Strong experience with React and TypeScript, including component design, state management, API integration, responsive UI development, and testing. * Solid foundation of data structures, algorithms, and software design. * Code review, automated testing, observability, CI/CD, secure development, and operational ownership are more contemporary. * Hands-on experience with AI-assisted and agentic software development tools such as Cursor, OpenAI Codex, Claude Code, GitHub Copilot, or equivalent. Experience using AI coding agents to accelerate software development tasks such as code generation, refactoring, debugging, test creation, codebase exploration, documentation, and implementation of well-defined features. * A commitment to best practices. We'll want your opinions on operational processes, DevOps, deployment checklists, and more., * BS or MS in Computer Science preferred, equivalent experience considered. * 5+ years as an Engineer with depth on the application and software side of the stack/ * 2+ years of experience developing and automating software delivery workflows, including CI/CD, infrastructure as code, deployment automation, and cloud services. Familiarity with tools such as Terraform. Additionally, you will showcase the following: * Ability to move between hands-on implementation and higher-level solution design as project needs evolve. * Sound engineering judgment, including the ability to evaluate tradeoffs across scalability, maintainability, performance, security, cost, and delivery speed. * Strong ownership mentality, with a willingness to take solutions from initial requirements through implementation, testing, deployment, and operational handoff. * AWS CDK/CloudFormation, GitHub Actions, GitLab CI/CD, Ansible, or equivalent is preferred. Experience building automated, repeatable development and deployment environments is a strong plus. ## Description * Design, develop, test, and deliver modern applications and services across public cloud, private cloud, and customer-managed environments. * Build cloud-native and distributed applications using modern APIs, managed cloud services, containers, serverless technologies, and appropriate application frameworks. * Modernize and migrate existing applications and workloads to cloud platforms, including refactoring, replatforming, and integration with IaaS, PaaS, and SaaS services. * Develop and maintain front-end, back-end, API, and integration components as required by the solution. * Build automated development, testing, deployment, and infrastructure provisioning workflows using CI/CD, infrastructure as code, scripting, and cloud-native tooling. * Analyze existing applications, codebases, dependencies, and workloads to identify modernization opportunities and appropriate implementation strategies. * Translate customer business and technical requirements into well-defined architectures, user stories, engineering tasks, and implementation plans that can be executed across multiple disciplines. * Use AI-assisted development tools and coding agents to accelerate code generation, refactoring, testing, debugging, documentation, and codebase analysis while maintaining appropriate engineering review and quality controls. * Participate in code reviews, automated testing, troubleshooting, performance optimization, security reviews, and production-readiness activities. * Prototype and evaluate new platforms, frameworks, tools, and development methodologies, and help determine when and how they should be incorporated into customer solutions. ## Related Videos - [Are We All Prompt Engineers? How AI Changed What It Means to Build Software](https://www.wearedevelopers.com/videos/1980-are-we-all-prompt-engineers-how-ai-changed-what-it-means-to-build-software) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Dev & Test in the Cloud? 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