as engineer on our team, you will own end to end development of systems and products, leveraging ai intensively across every stage of the lifecycle
the role combines deep systems thinking, strong business understanding, and hands-on technical excellence, with a sharp focus on quality, security, and scalability
עוד על התפקיד:
lead end to end feature and system development
use ai tools daily (including llms) for planning, code generation, refactoring, writing tests, log analysis, and troubleshooting
make architecture decisions, choose technologies, and more
own production health
write and maintain technical documentation, best practices, and team playbooks
collaborate closely with product, UX, data, and other teams to translate business goals into technical solutions
Requirements: תנאי סף:
5+ years of experience as a software engineer ( backend / Full Stack / infrastructure) building production systems at significant scale
hands-on end to end experience: databases, apis, backend services, plus at least one additional layer ( frontend / mobile / data / DevOps)
proven experience using ai tools in your development workflow e.g. code assistance, TEST generation, architecture sketching, or automation of development tasks
strong proficiency in at least one of the following: JAVA, Python, or Node.js
solid understanding of modern architecture principles: microservices, distributed systems, rest/graphql, messaging, caching, and security fundamentals
experience with ci/cd pipelines, monitoring tools (logging, metrics, tracing), and production debugging
demonstrated ability to take full ownership from feature definition through stable delivery to customers
כישורים נדרשים:
significant experience working with llms or ai services, including integration into existing systems
experience in prompt engineering, building orchestrations / agents / workflows on top of large models
background in high scale system or business critical systems
experience designing end to end solutions that include UX considerations
experience in DevOps / sre / platform engineering infrastructure, cloud, observability, cost optimization
experience working in guilds / chapters methodology or similar cross cutting expertise models
This position is open to all candidates.