דרושים » תוכנה » Senior Software Engineer

Requirements:
Required Qualifications:

B.Sc. or M.Sc. in computer science, software engineering, or equivalent experience. 
5+ years of professional hands-on software development experience, primarily focused on developing and designing backend services in cloud or on-premises environments. 
Experience taking initiative, map product/feature requirements, dependencies, and deliverables. 

Preferred qualifications:

Experience or familiarity with AI-assisted development tools (e.g., GitHub Copilot) and/or integrating AI/ML capabilities into production services.

Experience working with Kubernetes and Containers. 

Experience with databases (SQL, MongoDB, Cosmos DB, Redis, Azure Data Explorer). 

Experience in working on a product that has both a cloud service and also a client component.

Experience in the cybersecurity domain. 

Experience in designing, building, and operating large-scale resilient distributed systems. 

Experience/familiarity with application and system monitoring systems. 

Demonstrate success dealing with ambiguous unsolved problems; and the ability to independently make solid progress by breaking new ground. 

Requirements:
5+ years of experience in software development, with strong hands-on coding skills
Strong proficiency in Rust, with solid knowledge of Python
Experience developing and deploying production-grade systems
Solid understanding of system design, scalability, and performance optimization
Experience working in Linux environments
Ability to work independently and navigate large, evolving codebases
Strong problem-solving skills and a pragmatic engineering mindset

Requirements:
At least 10 years software development experience, at least 2 years of experience as architect
Understands system engineering and architecture, proven experience in scale, system redundancy solutions, and performance
Experience in high-capacity and high-reliability products in multiple development languages and environments, multi-threading, and more
Experience with SQL Server
Understands Microservice, and event-based design and SAGA concepts
Error tolerance and zero data loss concepts
Experience delivering systems operated globally
Meaningful hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) - architecting and operating production workloads at scale
Experience architecting AI-enabled systems - LLM integration patterns, RAG, agentic/multi-step workflows, evals, and production concerns specific to AI (latency, cost, fallback, hallucination control)
AI fluent - daily, hands-on use of AI coding tools with clear judgment on when to trust output vs. rewrite it; goes beyond using AI to configuring it (custom instructions, rules, MCPs, tools); builds workflows and skills, not just prompts
Strong attention to business needs and converting them into working, effective products
Ability to adapt to various technologies and research new concepts
A true team player, able to both hold and drive a vision - and also to buy into it
Proactive attitude and does what it takes to get things done
Connected and updated in the latest & greatest of technology
A passion for technology!

Requirements:
Relevant BSc in Computer Science, Software Engineering, or a related field from a leading university

5+ years of hands-on software development experience, including work with storage systems, infrastructure software, Linux, or networking

Strong experience with Python (3.11+), FastAPI, Pydantic, asyncio, REST APIs, and microservices architecture

Experience with Docker, Git, pytest, ruff, and mypy for development, testing, and code quality

Comfort working in an AI-native development environment, Spec-Driven Development (SDD), AI-assisted workflows, and engineering governance

Requirements:
5+ years of relevant industry experience as a software engineer
Experience in OS Internals such as Linux/Android/Windows and system-level programming
Proficiency in software security
Substantial experience building complex software systems
Mastering software development processes and methodologies
B.Sc. in Computer Science or Software Engineering or Equivalent military experience courses in elite intelligence corps.
Advantages:
Experience in Objective-C or Swift using iOS or OS X frameworks - a major advantage
Experience developing in Apple's ecosystem (macOS/Xcode)
Experience in JavaScript - a major advantage
Hands-on experience with Python
Knowledge of reverse engineering techniques and tools (e.g., IDA Pro).

Requirements:
5+ years of experience in DevOps, SRE, Platform, or Infrastructure Engineering.
Strong hands-on backend development experience, preferably with Python.
Deep hands-on production experience with Docker and Docker Compose.
Real-world experience operating production systems on-premises, ideally on physical servers.
Strong experience with AWS, GCP, or Azure, and with CI/CD and IaC tools such as Terraform or Ansible.
Strong Linux, networking, and system-level troubleshooting skills.
Production experience with PostgreSQL and observability tools such as Prometheus, Grafana, or Loki.
Strong understanding of system design, reliability, scalability, and security.
B.Sc. in Computer Science or a related degree, or equivalent academic background.
Proactive, hands-on, and comfortable taking ownership in a fast-moving startup environment.

Requirements:
Have to be proficient in Kubernetes, Linux and Jenkins with coding experience in Python.
Have to show experience designing and implementing large scale continuous delivery solutions
Have to be experienced with AI tools/AI agents and demonstrate cost effective use of it
Have to understand networking, security, performance for high scale applications.
Have to be a self-motivated professional capable of working with minimal supervision.
Have to possess detailed problem solving skills and experience in a global company.

Requirements:
We care about a particular mindset more than any specific item on a checklist. The person who'll thrive here is someone already living inside the modern AI stack - not planning to start. You read model release notes the way other people read the news. You've built real things with new tools the week they came out. Agentic dev workflows aren't something you've heard about; they're how you already work. When a new model drops, your first instinct is to put it on the bench. And underneath all of it, you're a builder - you ship, you write clean software, and you think about latency, cost, and what the user actually needs.

What We're Looking For

6+ years of software engineering experience, with the last few focused on AI / ML systems
Deep, hands-on experience designing and shipping agent systems in production - not demos. You understand agent architectures, memory, tool use, evaluation, and the failure modes that matter at scale.
Strong fundamentals in embeddings, RAG, and hybrid retrieval, with real experience designing vector storage and retrieval pipelines for production use
Deep production backend foundations - strong Postgres knowledge (functions, triggers, indexes, extensions, atomic operations, and similar depth), real-time client channels (WebSockets, SSE), async and event-driven backbones (pub/sub, queues, background tasks, webhooks), the ability to design systems and features around multithreading and multiprocessing, and dynamic resource management for high-throughput, latency-sensitive workloads.
Excellent architecture instincts and strong Python - you write code that scales and that other engineers can build on
Product sensibility - you can reason about trade-offs and what's worth building, not just what's technically possible