About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is hiring entry-level Software Engineering Analysts to join a consultative, AI-native engineering practice. You’ll work on full-stack, cloud-native projects in agile teams and use AI tools as part of the daily development workflow.

• Collaborate on agile scrum teams to design, build, test, and deploy scalable software solutions
• Develop cloud-native applications on AWS, Azure, or Google Cloud using microservices, Docker, and Kubernetes
• Use AI-assisted coding tools daily for implementation, debugging, refactoring, test generation, and code review — apply engineering judgment to prompt, steer, and validate AI-generated code
• Implement DevOps best practices including CI/CD pipelines and infrastructure-as-code
• Apply Test-Driven Development (TDD) and integrate security practices across the software lifecycle
• Use collaboration and version control tools such as Jira, Confluence, and GitHub
• Continuously learn new technologies and frameworks; pivot across areas of software development as projects require

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Qualifications

This is an entry-level opportunity intended for candidates beginning or building a career in software engineering.

• Must be currently enrolled in an accredited college/university and expected to graduate by Spring/Summer 2027, or have completed a bachelor’s degree or higher in Computer Science, Data Science, Statistics, Applied Math, Data Analytics, MIS, Economics, Finance, Business Analytics, Mathematics, Engineering, or a related program
• Strong foundation in computer science fundamentals: software engineering, data structures, algorithms, operating systems, or computer architecture
• Proficiency with at least one modern programming language (Java, C++, C#, Python, etc.) and familiarity with object-oriented design
• Hands-on experience using agentic coding tools (e.g., Claude Code or similar) as a core part of daily engineering practice — experience prompting, steering, and validating AI-generated code
• Ability to travel up to 50% on average (client and project dependent)
• Must be legally authorized to work in the United States without employer sponsorship now or in the future
• Candidates must be at least 18 years of age at time of employment
• Reside within a commutable distance of your assigned office and be able to commute daily, if required

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What You’ll Get

• Structured learning and mentorship, with clear technical career-path opportunities (cloud integration, DevOps, architecture, technical leadership)
• Hands-on experience with cloud-native systems, microservices, containers, and AI-led engineering practices
• Exposure to a variety of industries and client projects in a consultative delivery model
• Hybrid work options depending on team and client needs
• Competitive compensation (see salary details below) and comprehensive benefits administered by Confidential Client

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Salary & Additional Details

• Estimated/indicative compensation shown on the source posting: $177,750 per year (estimated). A reasonable internal estimate mentioned: $100,000. Actual offer will depend on skills, experience, location, and other factors.
• This role is classified as FULL_TIME.
• Recruiting for this role ends on 2026-12-01 (source posting).
• Confidential Client is an equal opportunity employer — applicants will receive consideration without regard to legally protected characteristics.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.