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.
We're looking for a Senior Software Engineer to join our R&D team. This is a hands-on, all-around role where you'll own the full development lifecycle of a high-throughput, low-latency product from requirements and architecture through production deployment, monitoring, and operation. You build it, you own it.
Our Tech Stack
- Languages: Go 1.24+, Python/PySpark
- Streaming: Apache Kafka (Confluent)
- Data Processing: Databricks
- real-time model inference
- Infrastructure: AWS (EKS, DynamoDB, S3, ElastiCache), Kubernetes, Helm
- Observability: Prometheus, Grafana, OpenTelemetry, OpenObserve
- Databases: DynamoDB, Valkey/Redis, and PostgreSQL
Responsibilities
- Design, build, and maintain high-throughput low-latency microservices
- Develop data pipelines for user feature aggregation, ML training data, and analytics
- Build event streaming systems using Kafka for real-time data processing
- Contribute to infrastructure-as-code (Terraform) and GitOps best practices
- Troubleshoot production issues across distributed systems
- Collaborate on architecture decisions and technical roadmap
Job Requirements
Must Have:
- 5+ years of software engineering experience
- 3+ years with Go in production environments, in high-throughput systems
- Strong experience with distributed systems and microservices architecture
- Experience with message queues/streaming (Kafka, MSK)
- Proficiency with SQL and NoSQL databases (PostgreSQL, DynamoDB, TimescaleDB)
- Solid experience with Kubernetes and container orchestration
- AWS cloud services experience (EKS, DynamoDB, S3, ElastiCache)
- Understanding of observability (Prometheus, Grafana, distributed tracing)
Nice to Have:
- Ad-Tech experience is a big plus
- Experience with real-time ML inference at scale
- Python/PySpark for data processing pipelines or using DBT / SQLMesh
- Experience with MLOps
- Working with high-scale distributed databases such as Aerospike, ScyllaDB
- Experience with Databricks or similar data platforms
- What We're Looking For
- Independent problem solver who thrives on performance optimization challenges
- Ownership mentality, you see features through from idea to production and operations
- Comfortable with ambiguity in a fast-moving startup environment
- Strong debugging skills across distributed systems
- Leverages modern AI tools to multiply productivity and code quality
- Effective communicator who can explain complex technical concepts
Education
- B.Sc. in Computer Science or equivalent practical experience
Who we are
At MediaForce, we’re a team that thrives on collaboration, trust, and mutual support. As a fast-growing, global ad-tech company, we’re committed to fostering a culture where every individual is valued and empowered to contribute, without the politics or endless approval chains. We believe in creating an open, innovative, and performance-driven environment where ideas can flourish, and everyone can make an impact. If you're looking for a place where you can grow, connect, and be part of a dynamic team, we’d love to meet you. Come be part of the force!
Job Benefits
- Be part of a global team that’s talented, fun, and driven.
- Enjoy a work-life balance with our flexible hybrid working model.
- Free gym membership conveniently located in our building.
- Fun company events, team building, holiday celebrations, and happy hours
- Be part of something that matters - Community support & volunteering initiatives
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.
שאלות ותשובות עבור משרת Senior Software Engineer
כמהנדס תוכנה בכיר ב-MediaForce, תהיה אחראי על מחזור הפיתוח המלא של מוצר בעל תפוקה גבוהה וזמן אחזור נמוך. זה כולל תכנון, בנייה ותחזוקה של מיקרו-שירותים, פיתוח צינורות נתונים לאגרגציה של תכונות משתמש ואימון למידת מכונה, בניית מערכות הזרמת אירועים באמצעות Kafka, ותרומה לשיטות עבודה מומלצות של Infrastructure-as-Code ו-GitOps. בנוסף, תטפל בפתרון בעיות ייצור במערכות מבוזרות ותשתתף בהחלטות אדריכליות.
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