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Experience Level
Senior
Qualifications
The ideal candidate will possess:Proven experience as a Full-Stack Engineer or similar roleStrong proficiency in Python and ReactExperience with web application frameworks and RESTful APIsExcellent problem-solving skills and attention to detailAbility to work independently and as part of a team
About the job
Jobgether is looking for a Senior Full-Stack Engineer with strong skills in Python and React. This position is based in Israel and focuses on building and supporting modern web applications.
Role overview
This role centers on both backend and frontend development. The Senior Full-Stack Engineer will work with Python and React to create new features and improve existing systems. Collaboration with other teams is a regular part of the job, ensuring projects move forward smoothly.
Key responsibilities
Develop and maintain web applications using Python and React
Work closely with cross-functional teams to deliver project goals
Promote technical quality and consistency across projects
Requirements
Proven experience as a full-stack engineer
Strong knowledge of Python and React
Ability to collaborate with diverse teams
About jobgether
jobgether is a forward-thinking company committed to leveraging technology to improve the way we work. We believe in fostering a collaborative and inclusive environment that empowers our team to thrive and innovate.
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Kindly submit your CV in English, specifying your English proficiency level.Mindrift specializes in connecting talented experts with dynamic, project-based AI opportunities within leading tech organizations, focusing on the assessment, evaluation, and enhancement of AI systems. Please note that participation is project-based and not a permanent employment position.Opportunity OverviewEach project offers unique challenges, and contributors may be tasked with:Creating original computational physics problems that replicate authentic physics research workflows;Devising problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring problems are computationally demanding and cannot be resolved manually in a reasonable timeframe (days/weeks);Formulating problems that involve complex reasoning chains in fields such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in actual research challenges or practical applications from the field of physics;Verifying solutions through Python using standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Ideal Candidate ProfileThis role is an excellent match for quantum researchers with Python experience who are open to part-time, non-permanent projects. Ideal contributors will have:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is also acceptable;A minimum of 2 years of relevant professional experience, whether in applied research or teaching;Experience with numerical simulation methodologies;The ability to design problems mirroring real physics research workflows;Creative thinking for problem design across various physics domains;Familiarity with physics modeling and approximation techniques;Strong proficiency in written English (C1+).Process OverviewApplication → Qualification Assessment → Project Participation → Task Completion → CompensationProject CommitmentFor this project, anticipated task involvement is estimated at approximately 10–20 hours per week during active phases, varying based on project requirements. This is an estimation and does not guarantee a fixed workload during the project's duration.Compensation StructureContributors may earn up to $35 per hour, contingent on their skill level and contribution pace. Compensation can differ across projects based on their scope, complexity, and required expertise. Please be aware that other projects within the platform may offer varied compensation levels based on their specific needs.
