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 אחר

תל אביב - יפו

חברה בתחום אחר

תל אביב - יפו
מלאה
28,000-40,000 ₪ (הערכה מבוססת AI)
הערכה מבוססת AI ולא שכר של המעסיק

Were looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes - youll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.

In this role, you will:

Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
Build and evolve platform-level capabilities: platform architecture and operating model-multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.
Example projects
Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10-100x cluster growth.
Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.
Tech stack
Core: modern C++ (C++20, async + multithreaded primitives)
Services & tooling: Go and Python (microservices, utilities, integration tests)

Requirements:
What we expect
5+ years of software engineering experience.
Strong C++ skills (youll write core code).
Working knowledge of Python and/or Go (you dont have to be expert, but should be comfortable navigating them).
Experience developing and/or operating high-load, distributed services.
Production mindset: ability to use SSH, read logs/metrics/traces, and debug distributed systems behavior.
Solid CS fundamentals: algorithms, data structures, concurrency basics.

This position is open to all candidates.