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, Research Services.

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

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What You’ll Do

This confidential client is hiring an early-career Software Engineer to join a research-focused engineering team in Mountain View, CA. You’ll work on full‑stack and cloud‑enabled software solutions that support research and systems engineering activities. Typical responsibilities include:

• Provide technical support for design, development, testing, deployment, and maintenance of software systems (frontend, backend, APIs, and cloud services).
• Implement responsive user interfaces and backend services using modern web frameworks and RESTful APIs.
• Help build and maintain microservices, databases, and data interfaces to integrate components.
• Assist with cloud infrastructure setup, configuration, and automation on platforms such as AWS, Azure, or GCP.
• Contribute to CI/CD pipelines, automated testing, and release workflows to streamline deployments.
• Follow secure software development practices: participate in code reviews, vulnerability remediation, and documentation.
• Collaborate in multidisciplinary Agile teams—sprint planning, daily standups, demos, and retrospectives.
• Prepare technical notes, status reports, and demonstrations for project stakeholders.
• Stay current on AI/ML techniques, containerization (Docker/Kubernetes), and cloud best practices through continuous learning.

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Required Qualifications

Candidates should meet the following baseline requirements:

• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or another STEM field.
• 0–3 years of professional experience in software engineering, AI/ML, cloud computing, or related technical work (internships, co-ops, academic projects or research count).
• Proficiency with one or more programming languages: Python, Java, JavaScript, C++, or C#.
• Basic knowledge of object‑oriented programming, data structures, and algorithms.
• Familiarity with frontend technologies (HTML, CSS, JavaScript) and modern frameworks such as React, Angular, or Vue.
• Familiarity with backend concepts: REST APIs, server‑side programming, and databases (SQL/NoSQL).
• Exposure to cloud platforms (AWS, Azure, or GCP) and source control workflows (Git).
• Good analytical, communication, and teamwork skills.
• Ability to obtain and maintain any required government security clearance, if applicable.
• US Citizenship or Permanent Residency is required.

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Desirable (Nice-to-Have) Qualifications

• Internship, capstone, undergraduate research, or personal portfolio demonstrating software development or AI/ML projects.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Hands-on experience with CI/CD tools, automated testing, and infrastructure-as-code (Terraform, CloudFormation).
• Familiarity with data engineering topics, Python ML libraries, or model deployment practices.
• Relevant certifications or coursework in cloud computing, AI/ML, DevOps, or cybersecurity.

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Compensation & Location

• Salary range: $105,000 to $135,000 per year (provided based on experience).
• This is an onsite role in Mountain View, CA; some hybrid work may be possible per team policy.
• Employment is with a confidential client; benefits and additional compensation details will be provided during the hiring process.

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Additional Notes & Legal Compliance

• This posting follows U.S. federal and state hiring guidelines. Applicants must be authorized to work in the United States; U.S. citizenship or permanent residency is required for this role.
• The position may require the ability to obtain and maintain a government security clearance—disclosure and adjudication processes may apply.
• Careertakes supports inclusive hiring; accommodations are available for applicants with disabilities during the interview process.

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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.