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 an entry-level Software Engineering Analyst to join an AI-native engineering practice in Costa Mesa, CA. You’ll work on cloud-native, full‑stack software projects, using modern engineering practices (DevOps, CI/CD, TDD) and AI tools as a routine part of the development workflow. This role offers ongoing mentorship, hands-on learning, and the chance to rotate across technologies and client engagements.

• Collaborate on agile scrum teams to design, build, test, and deploy scalable software.
• Build cloud-native applications on AWS, Azure, or Google Cloud using microservices and containerization (Docker, Kubernetes).
• Use AI development tools daily for implementation, debugging, refactoring, test generation, and code review — applying engineering judgment to prompt, steer, and validate AI-generated code.
• Implement and maintain CI/CD pipelines and infrastructure-as-code to automate delivery.
• Apply test‑driven development (TDD) and integrate security best practices across the software lifecycle.
• Use collaboration and version-control tools (Jira, Confluence, GitHub) to deliver work in a fast-paced environment.
• Continuously learn new frameworks and technologies; be adaptable to hybrid on-site/client work.

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Key Responsibilities

• Deliver production-ready features as part of cross-functional teams.
• Contribute to architecture and design discussions with an eye toward scalability and reliability.
• Validate AI-generated code and other automation outputs before they reach production.
• Participate in code reviews, pair programming, and knowledge-sharing sessions.
• Support client engagements, which may require travel and on-site collaboration.

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Required Qualifications

• Current enrollment in an accredited college/university (expected graduation by Spring/Summer 2027) or a completed 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 field.
• Strong foundation in core Computer Science subjects (data structures, algorithms, operating systems, software engineering).
• Programming ability in at least one modern language such as Java, C++, C#, or Python; familiarity with object-oriented design.
• Demonstrated hands-on experience using agentic coding tools (e.g., Claude Code or comparable) as a core part of daily engineering work — experience prompting, steering, and validating AI-generated code.
• Ability to travel up to 50% on average, depending on client needs.
• 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.
• Must reside within a commutable distance of the assigned Costa Mesa office and be able to commute daily if required.

This is an entry-level opportunity intended for candidates beginning or building a career in software engineering. Applicants with a variety of educational and professional backgrounds are encouraged to apply if they meet the qualifications.

Note on compensation: the original posting provides estimated compensation information. Estimated: $143,811 per year (displayed). A reasonable estimate in the source text was $100,000. Compensation will vary based on experience, skills, and other job-related factors.

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The Team

You will join a technology consulting team that embeds engineering and product delivery into client programs. Teams balance technical delivery with client-facing consulting, focusing on delivering measurable outcomes and developing team members through mentorship and varied client work.

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Preferred / Nice-to-Have

• Familiarity with microservices design patterns and cloud-native observability.
• Experience with container orchestration (Kubernetes) and container tooling (Docker).
• Practical exposure to CI/CD tooling (Jenkins, GitHub Actions, GitLab CI) and infrastructure-as-code (Terraform, CloudFormation).
• Prior internship or project experience building production software.

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Additional Notes & Candidate Requirements

• This role is full-time and may involve hybrid or client-site work.
• Use of AI tools in the development workflow is expected; strong judgment in evaluating AI outputs is essential.
• No employer sponsorship for work authorization will be provided.
• The position requires the ability to travel and to commute to the assigned Costa Mesa office as needed.

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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.