דרושים » תוכנה » Senior Software Engineer - AI Workspace

Requirements:
BSc in Computer Science / Software Engineering or equivalent
4+ years of professional software development experience
Demonstrable daily use of AI coding assistants (Copilot, Claude Code)
Integrate AI APIs and tooling (LLMs, agents, retrieval systems) into product features and internal tooling
Strong hands-on experience in Java / Type Script
Experience working with cloud platforms (AWS \ Azure)
Strong understanding of software design principles and distributed systems
Excellent debugging and problem-solving skills
Experience working in Agile development environments
Fluent English (written and spoken)
You will have an advantage if you also have:
Experience designing microservices architectures
Contributions to open-source projects or technical publications
Experience solving complex, high-scale engineering challenges.

Requirements:
BSc/BA in Computer Science or equivalent.
6+ years of experience with Java or similar JVM/OOP languages.
Strong experience with AWS services (e.g., DynamoDB, EKS, IAM, S3, Lambda).
Solid understanding of system architecture, design patterns, and building complex distributed systems.
Handson experience with relational (PostgreSQL) and NoSQL databases (MongoDB, Cassandra, Redis, etc.).
Practical experience building and maintaining production cloud services.
You will have an advantage if you also have:
Familiarity with data streaming or big data technologies such as Kafka, Flink, or Spark.
Experience building microservices using Spring Boot, Docker/containers, and Kubernetes.
Exposure to DevOps practices and tools (CI/CD pipelines, Jenkins, Terraform, Helm).
Background in SaaS product development.
Comfort using AI-based tools to speed up development and testing (such as GitHub co-pilot, Claude,).

Requirements:
B.Sc. in Computer Science from a leading university OR Alumnus of an elite military technology unit - MUST.
At least 5 years of hands-on backend software development experience, primarily in Node.js - A MUST.
Deep knowledge of the JS event loop and asynchronous programming. - A MUST.
Practical experience with frontend development (e.g., React) and a strong willingness to contribute to client-side development when necessary to deliver end-to-end features - A MUST.
At least 5 years with Cloud Computing across at least one of the big three providers (AWS, Azure, GCP), with a focus on Cloud-Native services. This includes expertise in serverless computing, managed container orchestration (EKS/AKS/GKE), and auto-scaling strategies beyond basic IaaS/VM management - A MUST.
Proven experience designing scalable services using Microservices Architecture and related patterns (e.g., Service Mesh, API Gateway, BFF).
Strong understanding of Event-Driven Design (e.g., high-throughput message brokers like Kafka, RabbitMQ, SQS) and Domain Driven Design (DDD) principles.
Experience with high-speed in-memory state management (e.g., Redis) and relational data stores (e.g., PostgreSQL).
Hands-on experience with containerization technologies, specifically Docker and basic Kubernetes usage.
Deep understanding of Infrastructure as Code (IaC) principles. Proven experience managing cloud infrastructure programmatically using tools like Terraform, AWS CDK, or Pulumi (we treat infrastructure as software) - A Big Advantage.
Deep expertise in designing highly secure, multi-tenant SaaS solutions, ideally with knowledge of Zero Trust Architecture (ZTA), mTLS, and secure edge-to-cloud communications.
Strong understanding of CI/CD concepts and automation tools.
Team player, with strong communication, collaboration, and active listening.
Agile/Scrum environment expertise.

Experience designing data pipelines for high-volume time-series telemetry and implementing long-term, cost-optimized data retention strategies (e.g., Object storage tiering).
Experience with Geospatial processing (GIS), mapping technologies (Map tile services, GeoJSON, OGC standards), and implementing spatial rules/geo-fencing.
Advanced Kubernetes experience (Operators, CRDs, Helm) for complex deployment scenarios.

Requirements:
BSc in Computer Science/Software Engineering or equivalent
Experience in one of the following:
3+ years in cloud development
3+ years in JAVA
Hands‑on experience building RESTful APIs in Java.
Strong software design skills, debugging capabilities, and problem‑solving strengths.
Excellent written and spoken English.
You will have an advantage if you also have:
Experience building distributed, production-grade systems at scale.
Hands-on development experience with AWS services.
Strong background in Spring / Spring Boot.
Technical blog posts, talks, or presentations youve created.
Contributions to open-source projects.
Experience solving complex or large-scale engineering challenges.
(Big Advantage) Experience developing with AI-powered coding tools, such as:
GitHub Copilot
Claude code
Using AI tools to accelerate development, improve code quality, and optimize system design is a significant advantage.

Requirements:
5+ years of profound software development experience in .NET.
Multiyear experience with developing in ReactJS/Typescript/Javascript.
Multiyear experience with MongoDB (or other NoSQL databases).
Extensive experience with developing cloud services.
Experience working in and succeeding as agile development team.
Experience with DevOps pipelines.
Strong attention to detail and the ability to translate business requirements into product solutions.
You have a good overview of current trends in frontend/backend development.
Be comfortable with change: we are building very new products and we are continuously evaluating if we are on track with customers and internal stakeholders. Sometimes we will need to pivot and get back to the drawing board.
Get your hands dirty attitude: you are not afraid to pick up a new technology/library/pattern and get productive with it quickly if that is needed for the task at hand.
Proven experience in producing high-quality code and implementing engineering best practices
If youve got some of these skills, even better
Experience with Cloud Operations (monitoring, observability, logging, ).
Experience with NodeJS.
Experience with developing on Docker and Kubernetes
Additional information
You will have the opportunity to work with the industrys most advanced testing technologies and help customers shift into the new testing realities of the digital world.
You will have the opportunity to work in a growing organization, with ever-growing opportunities for personal growth.
You will have plenty of opportunities to contribute elsewhere (e.g. build DevOps pipelines, create company products around frameworks to better monetize and provide services to our product).

Requirements:
Elasticsearch Expert: 5+ years of experience working with Search Engines in production. You understand how indices, analyzers, and mappings work "under the hood."
Search Theory: You understand the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which.
Python Proficiency: Strong experience with Python 3.10+. You are comfortable writing asynchronous code (async/await) and building APIs.
Data Engineering: Experience designing data schemas for search (how to structure JSON documents for efficient retrieval).
Nice to Have
Experience building RAG (Retrieval-Augmented Generation) pipelines.
Familiarity with LangChain or similar LLM frameworks.
Experience with Evaluation tools (like LangSmith) to test search quality automatically.
Background in Finance (understanding tickers, earnings calls, etc.).

Requirements:
what we need to see:
the ideal candidate will possess a b.sc. in software, computer, electrical, or communication engineering, or equivalent experience
bring at least 12 years of overall experience, initiating, and leading features. 
hands-on proficiency in C, C ++, and Python development is essential.
great communication and presentation skills.
in-depth knowledge of Linux usage and internals.
combined with creativity, motivation, and a strong value-driven mindset.
ways to stand out from the crowd:
expertise in leading both software and hardware integrations, as well as Embedded software development. 
familiarity with routing protocols such as bgp, evpn, and srv6. 
familiarity with a variety of software development tools and methodologies, including ai tools.
ability to dive deep into technical details, providing insightful guidance on features and bug resolution.

Requirements:
what we need to see: b.sc. in Computer Science and electrical engineering from a top university, or relevant equivalent experience.
12+ years of software development experience.
strong expertise in Python and C ++, with excellent engineering and optimization skills.
proficiency working in Linux -based environments, containers, build systems, and internal automation flows.
ability to collaborate across algorithms, architecture, and hardware teams, and to guide others.
code-quality focused mindset with git-based collaborative development experience.
ways to stand out from the crowd: background in gpu/parallel computing or media/video processing.
deep understanding of principals and operational details of popular ci/cd frameworks like gitlab ci, github actions, jenkins and/or others.
experience with low-level development (drivers, firmware, Embedded, etc.).

Requirements:
What we need to see:

B.A./B.Sc. in Computer Science or equivalent experience.

5+ years of experience of networking product delivery (e.g. switches, routers, NICs) and the software development lifecycle.

Strong programming skills in Python.

Experience of creating and maintaining robust test automation systems, and a desire to automate everything.

Exceptional analytical and problem-solving skills, with a keen attention to detail, particularly in identifying and resolving networking issues.

Good English communication and interpersonal skills.

Good Linux familiarity.

Ways to stand out from the crowd:

Experience of data center network engineering spanning servers, NICs, cabling and switches.

Strong knowledge of ethernet networking, from switch pipelines (e.g. ACLs, forwarding rules) through networking protocols (like TCP/IP and BGP/EVPN-VxLAN) to network operating systems and their automation.

Have a passion for AI and networking.

Experience of NVIDIA networking technology such as Bluefield/ConnectX NICs, Spectrum switches, and the Cumulus Linux and SONiC operating systems.

Networking certification (e.g. CCIE, JNCIE, ACE-E).