דרושים » תוכנה » Software Engineer- AI Datacenter Orchestration Platform

Requirements:
What we need to see:
B.Sc. or above in Computer Science, Computer Engineering, or a related field, or equivalent experience.
5+ years of hands-on experience in software engineering, with demonstrated ownership of production systems from design through deployment.
Expert-level programming skills in C++, with strong Python skills alongside it.
Strong understanding of the full stack, including hardware: memory, I/O, networking, accelerators, and where real performance bottlenecks occur.
Current, practical knowledge of how to build systems around AI models: agent loops, tool interfaces, context retrieval and management, and common failure modes.
Understanding of inference serving, including request lifecycle, batching, caching, and the tradeoffs between throughput, latency, and cost.


Ways to stand out from the crowd:
Experience writing hardware simulation software - network, system, or architectural simulators, models, or testbenches.
Networking experience - protocols, fabrics, switching, or RDMA - and experience working alongside silicon, systems, or architecture teams.
Hands-on experience with inference serving engines such as vLLM, TensorRT-LLM, or Triton Inference Server, including low-level internals such as KV cache, batching and scheduling, and quantization, and related performance work such as profiling and GPU programming.
Hands-on experience building or fine-tuning LLMs or other generative models.
Agent workflows, tooling, or context pipelines adopted by other engineering teams.

Requirements:
3+ years of experience as a software developer, DevOps engineer, infrastructure engineer, or in a similar cloud-oriented development role
B.Sc. in Computer Science / Software Engineering or equivalent practical experience
Strong programming skills in Python, Node.js, or a similar programming language
Hands-on experience with containerized environments using Docker and Kubernetes, including deployment, configuration, troubleshooting, and production workloads
Experience working with cloud platforms, preferably AWS
Experience with CI/CD pipelines, automation, and deployment processes
Experience working with databases, preferably NoSQL databases such as MongoDB
Understanding of production systems, including scalability, availability, monitoring, logging, and incident investigation
Experience using AI-powered development tools and integrating AI capabilities into daily development workflows
Preferred Qualifications
Experience with caching, messaging, and streaming technologies such as Redis or Kafka
Hands-on experience with infrastructure-as-code tools such as Terraform, including writing providers
Experience with frontend development using React, TypeScript, HTML, and CSS
Experience with observability and search platforms such as Elastic Stack and Grafana
Familiarity with GraphQL.

Requirements:
4+ years of experience as a software developer in a cloud-oriented environment
B.Sc/M.Sc in Computer Science
Understanding of LLM/GenAI security concepts (prompt injection, jailbreaks, content moderation, PII/data leakage)
Strong programming skills in Go or/and C++, Python, Node.js, or a similar programming languages
Hands-on experience with containerized environments using Docker and Kubernetes, including deployment, configuration, troubleshooting, and production workloads
Experience working with cloud platforms, preferably AWS
Experience working with databases, preferably NoSQL databases such as MongoDB
Understanding of production systems, including scalability, availability, monitoring, logging, and incident investigation
Experience using AI-powered development tools and integrating AI capabilities into daily development workflows
Nice to have
Experience with caching technologies such as Redis
Experience with messaging and streaming technologies such as Kafka
Experience with frontend development using React, TypeScript, HTML, and CSS
Experience with observability and search platforms such as the Elastic/OpenSearch Stack and Grafana
Familiarity with GraphQL API design and development
Experience with vector data bases.

Requirements:
What we need to see:
B.Sc or equivalent experience in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
5+ years of hands-on experience in the software development lifecycle, with a proven track record in performance-critical systems.
Python Mastery: Advanced programming skills in Python, with a focus on writing optimized, efficient, and scalable code for hardware interfacing.
Networking & HW Background: Solid understanding of networking protocols (TCP/IP, InfiniBand, or Ethernet) and hardware-level interaction.
Linux Expertise: Strong familiarity with Linux environments, associated debugging tools, and system-level performance tuning.
Strong analytical and debugging skills.
A highly collaborative great teammate who is also self-motivated, well-organized, and capable of working independently in a fast paced environment.

Ways to stand out from the crowd:
Performance Tooling: Experience with performance profiling, optimization, and low-level hardware communication (e.g., PCIe, I2C).
Low-Level Knowledge: Background in C/C++, RT embedded development, or driver development within a Linux environment.
Technical Leadership: Experience leading technical projects or mentoring team members in a dynamic setting.
Problem Solving: Confirmed experience in root-causing complex system-level issues and solving customer-facing hardware challenges.

Requirements:
5+ years of experience as a Software Engineer, building production-grade systems.
Strong experience with backend development and building scalable services.
Proficiency in one or more modern programming languages such as Go / Python / Java / Node.js - Go adds more points, but all accepted.
Experience designing and working with distributed systems, microservices, and event-driven architectures.
Strong understanding of data structures, system design, and engineering fundamentals.
Experience working with databases (SQL) and designing data models.
Familiarity with cloud environments (AWS preferred, GCP or Azure also relevant).
Experience with Docker and Kubernetes - advantage.
Strong troubleshooting skills, ownership mindset, and ability to work independently.
Excellent communication skills and a collaborative, can-do approach.
Experience working in a fast-paced startup environment - advantage.
Background or interest in security / cloud security - strong advantage.

Requirements:
6+ years of professional software-development experience, with significant experience building backend systems.
Strong experience designing, building, and operating cloud-native microservices and REST APIs in production.
In-depth understanding of modern SaaS architecture, multi-tenancy, distributed systems, and secure service-to-service communication.
Experience with both relational and NoSQL databases; hands-on experience with MongoDB is an advantage.
Experience deploying and operating services on AWS and Kubernetes, including monitoring, troubleshooting, and production ownership.
Strong understanding of authentication, authorization, credential lifecycle, tenant isolation, and secure API design.
Ability to work effectively across system boundaries and unfamiliar technology stacks.
Strong product judgment and the ability to turn evolving requirements into simple, maintainable technical designs.
Self-motivated, pragmatic, and comfortable taking ownership in a fast-moving startup.
Bachelors degree in Computer Science, Engineering, or equivalent practical experience.

Requirements:
what we need to see:
a degree in Computer Science or a related field, or equivalent practical experience.
5+ years of software engineering experience, including building Developer tools, shared libraries, or engineering infrastructure.
strong programming skills and the ability to design maintainable software used by other engineers.
practical experience developing ci/cd pipelines, automated testing frameworks, and git-based development workflows.
ability to diagnose unreliable tests, slow feedback cycles, and recurring development friction, and address their underlying causes.
experience delivering and maintaining reliable software, including testing, debugging, and operational support.
ability to use ai development tools effectively and evaluate generated code for correctness, security, and maintainability.
clear communication, sound engineering judgment, and the ability to collaborate across team boundaries.
ways to stand out from the crowd:
experience maintaining open-source projects or improving external contributor workflows.
experience building tooling for coding agents, evaluating ai-generated changes, or automating code review.
background with compatibility matrices, performance benchmarking, or scale-testing frameworks.
familiarity with secure ci practices, dependency integrity, and running tests on untrusted contributions.
a track record of measurably improving Developer productivity and software reliability.
we are widely considered to be one of the technology world's most desirable employers. we have some of the most forward-thinking and hardworking people in the world working for us. if you're creative and autonomous, we want to hear from you!
we are committed to fostering a diverse work environment and proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements:
At least 6 years of production software engineering experience, primarily in backend systems, including meaningful ownership of data-intensive platforms or infrastructure.
Strong proficiency in Python, Java, and SQL, with experience in testing, typing, performance optimization, and production debugging.
Strong backend engineering fundamentals, including service and API design, asynchronous and concurrent processing, failure handling, and operational reliability.
Experience with relational and non-relational databases such as PostgreSQL, Redis, or MongoDB.
Hands-on experience with AWS, Docker, Kubernetes, CI/CD, and production observability.
Deep experience designing and operating ETL/ELT pipelines and batch or streaming data systems.
Hands-on production experience with Apache Flink for distributed stream processing.
Hands-on production experience building reactive data-processing pipelines with RxJava/Project Reactor, including backpressure, scheduling, error handling, testing, and operational debugging.
Experience with event-driven architectures and messaging systems such as Kafka or AWS SQS.
Strong understanding of data modeling, warehouse and lakehouse architecture, schema evolution, and data quality.
Hands-on experience with dbt for data modeling, testing, documentation, lineage, and semantic-layer development.
Hands-on experience with at least one analytical data platform such as Snowflake, Databricks, ClickHouse, Athena, Trino, or Dremio.
Hands-on experience with at least one dataframe library: Pandas, Polars, or Daft.
Experience with workflow orchestration tools such as Airflow or Dagster.
Clear communication skills and a strong ownership mindset, with a track record of leading cross-functional technical initiatives through to production.

Requirements:
BSc in Computer Science or equivalent experience.
7+ years of experience building and shipping production software, with a strong track record of owning features or systems end-to-end.
Strong system design fundamentals and experience building scalable SaaS systems in the cloud.
Ability to make sound architectural decisions independently and understand technical trade-offs.
Solid understanding of REST APIs, asynchronous programming, distributed systems, microservices, and testing.
Hands-on experience with AI coding tools such as Claude Code, Cursor, Codex, GitHub Copilot, or similar.
Strong ability to review, challenge, and improve AI-generated code rather than relying on it blindly.
Strong product mindset, with the ability to balance technical and business priorities and focus on solving the underlying problem.
Strong ownership mentality and ability to drive work independently from idea to production.
Excellent communication skills and high proficiency in English, with the ability to work directly with Product and engineering teams.

Requirements:
7+ years of hands-on experience building, deploying, and operating large-scale, production cloud systems end-to-end.
Strong Computer Science foundations: Solid grasp of software design principles, concurrency, data structures, and cost/performance trade-offs.
Cloud-Native & Event-Driven Systems: Hands-on experience designing and operating cloud-native, event-driven architectures and working with modern databases (SQL, NoSQL, or vector DBs).
Language Proficiency: Deep proficiency in **Python** (or equivalent backend languages).
Cross-Domain Adaptability: Comfortable working across backend contexts, including data pipelines, backend core logic, and applicative microservices.
Ownership Mindset: A strong sense of personal accountability and a proven track record of taking complex backend systems from zero to production.
Education BSc in Computer Science, Software Engineering, or equivalent practical experience.
Advantages :
AI Agent Workflows Experience building or integrating AI agents, LLM orchestration, or modern AI frameworks into production services.
DevOps & CI/CD: Hands-on experience setting up robust, automated CI/CD pipelines and infrastructure-as-code.
Full Stack Flexibility: Prior exposure to modern Frontend/UI frameworks (e.g., React, TypeScript)