עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!

במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.

מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

חברה בתחום כללי

תל אביב - יפו

חברה בתחום כללי

תל אביב - יפו
מלאה
25,000-35,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
זוהי הערכת טווח שכר מבוססת AI ולא שכר שהתקבל מהמעסיק

We are looking for a motivated and experienced backend engineer with deep knowledge of systems, web applications, and observability stack,
As a backend engineer, you will build and maintain our web applications and contribute to the development of our observability system.
Responsibilities
Design, build, and maintain highly scalable web applications with performance, reliability, and observability in mind.
Drive the development of our observability platform at scale-ensuring we gather meaningful metrics, logs, traces, and act on them.
Lead by example: conduct thorough code & architecture reviews-not only of your own code but also with peers-to ensure maintainability, consistency, and high standards.
Champion best practices in development processes: share knowledge, improve coding standards, automate where possible, and mentor others.
Partner closely with product, UX, and cross-functional teams to deliver features from conception through to production-ensuring quality, timeliness, and user value.
Actively participate in on-call, incident response, post-mortems, and proactively identify reliability or performance bottlenecks.

Requirements:
5+ years of experience as a backend engineer building production services for large or distributed systems (web, microservices, observability, etc.).
Strong experience in Go (Golang)-you are comfortable building services, understanding memory/Go-routines, performance tuning, etc.
Solid experience with at least one major cloud provider (AWS, GCP, Azure, etc.), including deploying, monitoring, and scaling services in that cloud.
Deep understanding of containerization and orchestration tools-especially Kubernetes-and familiarity with observability tooling (metrics, logs, traces). Prometheus, VictoriaMetrics, or similar are a plus.
Experience with relational databases-PostgreSQL preferred-and messaging or queuing systems (e.g., NATS, Kafka, or equivalent).
Strong problem solving and debugging skills in production environments (including tracing issues, performance chokepoints, etc.).
Excellent English communication (verbal & written), ability to collaborate across teams, and mentor junior engineers.

This position is open to all candidates.