
Senior Software Engineer cloud data platforms
עלתה ל-JOBTIME לפני 9 שעות· בתוקף עד 24 בנובמבר 2026
- מיקום
- כל הארץ
- היקף משרה
- משרה מלאה
- תפקיד
- מהנדס/ת תוכנה
תיאור המשרה
- Overview
Design, develop, and support scalable cloud-based software solutions that power analytics, automation, and AI-driven products.
As part of a high-performing engineering team, you will build and operate large-scale production systems while contributing to the next generation of cloud infrastructure, data services, and intelligent applications.
This role has a strong focus on modern AI-based development practices and the implementation of AI-powered product capabilities leveraging LLMs, agents, and intelligent automation workflows.
Responsibilities
Design, develop, test, and maintain cloud-native backend services and platform components
- Build scalable, reliable, and highly available production systems
- Participate in architecture, design, and code reviews
- Develop and optimize APIs, microservices, and distributed system components
- Troubleshoot performance, reliability, and scalability issues in production environments
- Collaborate with product management, QA, DevOps, and partner engineering teams to deliver new capabilities
- Contribute to release planning, deployment activities, and operational excellence
AI / Agentic Focus
- Develop AI-powered product features and services
- Build and integrate solutions leveraging LLMs, agents, and intelligent workflows
- Utilize AI-assisted development tools to improve engineering efficiency and software quality
- Contribute to the design and implementation of next-generation AI and agentic platform capabilities
Requirements
- 5+ years of software development experience with a proven track record delivering large-scale production systems
- Strong programming skills in Java, Python, Go, or similar backend technologies
- Experience building and operating cloud-native applications on AWS, Azure, or GCP
- Strong understanding of distributed systems, microservices, APIs, scalability, and reliability engineering
- Experience developing scalable backend services, cloud infrastructure, and distributed systems supporting large-scale production environments
- Hands-on experience developing production-quality software using modern engineering practices, CI/CD, testing, monitoring, and observability
- Experience with AI-powered applications, LLM technologies, or agent-based solutions
- Strong problem-solving, communication, collaboration, and execution skills, with the ability to work effectively in a fast-paced, globally distributed engineering environment