Senior Full Stack Engineer

Job not on LinkedIn

🕒 February 26

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Cohort AI

1 - 10 employees

đŸ€– Artificial Intelligence

☁ SaaS

🎯 Recruiter

Artificial Intelligence ‱ SaaS ‱ Recruitment

Cohort AI is an AI-powered recruiting platform that delivers top technical talent rapidly. The SaaS product uses machine learning and a suite of AI agents to source (scan millions of profiles), conduct personalized outreach, run technical evaluations, and coordinate interviews and offers—integrating with ATS tools like Greenhouse and Lever to streamline hiring workflows and cut time-to-hire. Founded by engineers experienced in scaling high-performance teams, Cohort targets fast, precise hiring of senior/”unicorn” technical candidates.

📋 Description

‱ Build and evolve full-stack features using Python/Django on the backend and React on the frontend. ‱ Write clean, efficient, well-tested code that reflects strong engineering standards. ‱ Design and maintain CI/CD workflows to support fast, reliable releases. ‱ Partner with cross-functional teams to refine requirements and translate them into scalable technical solutions. ‱ Review code, champion best practices, and help define engineering standards. ‱ Implement monitoring and performance tooling to ensure smooth user experiences. ‱ Integrate APIs, databases, and third-party services into cohesive systems. ‱ Investigate and resolve issues quickly to keep applications running at peak performance. ‱ Stay current with new tools, frameworks, and architectural patterns. ‱ Support and mentor other engineers while fostering a culture of curiosity and continuous improvement.

🎯 Requirements

‱ 5+ years of professional software engineering experience, including full-stack development. ‱ Strong backend development skills with Python and Django. ‱ Solid experience building modern front-end applications, especially with React and ES6+. ‱ Deep understanding of HTML, CSS, and JavaScript fundamentals. ‱ Comfort with version control systems such as Git. ‱ Experience with automated testing and TDD practices (e.g., Jest, Playwright, Testing Library, or similar). ‱ Working knowledge of CI/CD concepts and implementation. ‱ Experience deploying and managing applications in cloud environments such as AWS (EC2, RDS, S3). ‱ Familiarity with containerization and orchestration tools like Docker and Kubernetes. ‱ Experience with relational and NoSQL databases. ‱ Strong grasp of web security fundamentals and common vulnerabilities (XSS, CSRF, etc.). ‱ Familiarity with design and prototyping tools such as Figma, Sketch, or Zeplin. ‱ Strong analytical thinking, problem-solving ability, and communication skills. ‱ Healthcare domain experience is a bonus, not a requirement.

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