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, Technology, Information and Media.

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 role contributes to the design, development, and operation of a research-focused software platform that manages large-scale microscopy image data and AI inference pipelines. You will work on back-end services, front-end interfaces, and supporting utilities; participate in testing and CI/CD; and help deploy and maintain services in production.

• Provide functional and empirical analysis for the platform’s backend, frontend, and utility tools
• Design and implement REST APIs, scalable backend systems, and relational database schemas for large imaging datasets
• Integrate, deploy, monitor, and maintain AI/ML inference services in production with attention to performance and reliability
• Build automated test coverage and CI/CD pipelines; collaborate on monitoring and reliability engineering
• Evaluate technical and architectural alternatives and make informed recommendations within your area of responsibility
• Document technical designs and decisions; participate in code reviews and regular team meetings

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Minimum Qualifications

• Master’s degree in Computer Science, Computer Engineering, or a closely related field (applicants with equivalent experience may be considered)
• 1–3 years of professional software engineering experience
• Practical experience with full‑stack web development (backend + frontend), REST API design, and relational database modeling
• Experience integrating and deploying AI or machine-learning inference services in production
• Familiarity with version control, code review workflows, CI/CD pipelines, monitoring, and reliability best practices
• Strong problem‑solving skills and the ability to make independent technical decisions

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Preferred / Nice-to-Have

• Experience working with large scientific or imaging datasets (e.g., microscopy image platforms)
• Background in performance tuning, scalable storage systems, or distributed processing
• Familiarity with cloud deployment patterns, containerization (Docker/Kubernetes), and observability tooling
• Prior exposure to research or academic environments and collaboration with domain scientists

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Why Join

Our confidential client is a mission-driven organization operating in the Technology, Information and Media sector. You’ll contribute to software that supports research and delivers real scientific impact, while working with experienced engineers and researchers. The team offers competitive benefits and professional growth opportunities.

• Excellent medical, dental, and vision coverage effective from day one
• Generous retirement savings match (example: 2:1 match on eligible contributions)
• Opportunity to work on novel imaging and AI systems used for impactful research

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Work Mode & Screening

Work mode (on-site, hybrid, or remote eligibility) is determined by the hiring department and may be reviewed periodically. Selected candidates will be asked to complete standard background screening and may be subject to pre-employment drug testing, in compliance with applicable laws (including the Fair Credit Reporting Act where relevant).

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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.