Senior Full Stack Engineer - Core UX
New
J
JobgetherSoftware Engineering
GermanyFull-TimeSenior
Salary$80,000 to $165,000 USD, depending on experience, performance, and geographic location.
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Job Details
- Experience
- 5+ years
- Required Skills
- PostgreSQLPythonCloud ComputingJavascriptTypeScriptServerlessReactAWS Lambda
Requirements
- 5+ years of professional software engineering experience.
- Strong software engineering fundamentals, including system design, debugging, architecture, and structured problem-solving.
- Professional experience with a modern frontend framework, preferably React.
- Strong knowledge of JavaScript, TypeScript, and/or Python.
- Experience with serverless technologies and cloud environments, including platforms or services such as AWS Lambda and EC2.
- Experience designing or working with asynchronous workflows and scalable backend systems.
- Solid experience with relational databases, ideally PostgreSQL.
- Strong attention to detail and a genuine appreciation for high-quality, polished user experiences.
- Demonstrated ownership, initiative, resilience, and the ability to drive projects forward with limited supervision.
- Excellent communication skills and a proactive approach to collaboration.
- Experience with LLMs, generative AI, or distributed systems is a valuable advantage.
Responsibilities
- Refine and enhance existing product functionality with a strong focus on usability, consistency, responsiveness, performance, and visual quality.
- Improve the overall user experience by paying close attention to layouts, interactions, interface behavior, and product polish.
- Design, develop, debug, and maintain scalable full-stack solutions that support evolving product requirements.
- Contribute to frontend development using modern frameworks, with React experience particularly valuable.
- Develop and maintain backend functionality, including serverless architectures, asynchronous workflows, and cloud-based services.
- Work effectively with relational databases and contribute to reliable, scalable data solutions.
- Collaborate closely with full-stack, data, machine learning, and DevOps engineers across a globally distributed team.
- Take end-to-end ownership of projects, driving initiatives from initial problem definition through implementation and completion with minimal oversight.
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