Agentic Software Engineer I
- Break down business and technical requirements into structured tasks and context for agent-assisted delivery workflows
- Execute assigned software development lifecycle activities across build, test, release, and validation
- Collaborate with architecture, engineering, quality assurance, product, user experience, and technical documentation teams to support delivery consistency
- Review agent-generated requirements, code, test assets, and technical documentation for quality, completeness, and alignment to requirements
- Apply engineering standards, code quality practices, and delivery controls to support reliable implementation
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a technical field
- 1+ years of experience in software engineering, quality engineering, DevOps, site reliability engineering, or software development lifecycle delivery roles using Python, JavaScript, Java, or another programming language
- 1+ years of experience using AI-assisted development tools such as Claude, GitHub Copilot, or Cursor in a professional or project-based setting
- 1+ years of experience reviewing code, tests, or technical deliverables for quality, completeness, and alignment to documented requirements
- 1+ years of experience working in Agile delivery environments, including sprint execution, backlog refinement, and iterative delivery
- Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Experience translating business or technical requirements into technical tasks, build activities, test cases, or deployment steps
- Experience working with at least one cloud platform such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
- Experience using at least one continuous integration/continuous delivery (CI/CD), DevSecOps, or automation toolchain
- Experience applying at least two software quality practices such as automated testing, code review, static analysis, monitoring, or release validation
- Experience with prompt engineering, context design, or structured prompting for AI-assisted development
- Experience with containerization, deployment automation, or platform engineering practices
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