לוח משרות דרושים מהנדס תוכנה בתל אביב יפו

Requirements:
5+ Years as a Data Scientist with proven production-level impact.
Masters degree in Computer Science, Mathematics, Statistics or Engineering (PhD is a plus but not required).
Experience conducting applied research and working with Transformers, open-source LLMs, or other advanced deep learning architectures.
Strong programming skills in Python and familiarity with modern ML tooling and frameworks.
Excellent problem-solving abilities and a strong experimental mindset.
Effective collaborator with strong communication skills.
High curiosity and a passion for learning new technologies, methods, and domains.

Requirements:
M.Sc. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
5+ years of experience in applied AI research.
Strong programming skills, particularly in Python and ML frameworks (e.g., TensorFlow, PyTorch).
Solid understanding of NLP.
Experience with modern Large Language Models (LLM) and generative models.
Proven expertise in designing, implementing, and evaluating deep learning models in a production environment.
Preferred Qualifications:
Experience with training Large Generative Language Models (LLM).
Knowledge of distributed computing and infrastructure for training large models.
Interest in exploring novel architectures for LLMs.

Requirements:
7+ years of software development experience, with 2+ years leading and mentoring engineers.
Strong expertise in backend development (Go, Python, Node.js, or similar) and familiarity with modern frontend technologies (React, Vue, TypeScript, etc.).
Proven experience designing distributed and web application architectures.
Solid understanding of developer experience - how to build frameworks and tooling that enable other teams to move faster.
Experience working with or integrating AI systems, LLMs, or agent-based architectures.
Excellent collaboration skills and a startup mindset - hands-on, pragmatic, and impact-oriented.
A product-oriented mindset and the ability to work in a fast-paced, team-driven environment.
Advantages:
Experience with agent orchestration, context management, or retrieval-augmented architectures.
Experience in cybersecurity.
Hands-on expertise in Go development.

Requirements:
5+ years of experience with software development (using Go or Python is an advantage).
Ability to evaluate and adopt new technologies, developing a deep understanding of underlying mechanisms to support technical decision-making.
Proven experience building and maintaining large-scale, high-throughput systems.
Solid experience with microservices architecture and related technologies (Docker, Kubernetes).
Solid background with databases, including modern storage and search solutions.
Experience with messaging/stream processing and scalable data storage patterns.
Ability to bootstrap projects, design systems from scratch, and deliver end-to-end.
Ownership mindset and leadership skills, with the ability to guide complex technical efforts.

Requirements:
5-6 years experience with DevOps technologies.
Experience with design, build, development and maintenance of DevOps solutions.
Experience with one of the major cloud providers: AWS, GCP, Azure.
Experience Working cloud & on-prem environments and solutions.
Experienced with deployment technologies.
Experienced with CI\CD technologies.
Experience with bootstrapping projects, introducing new technologies and building systems from scratch.
Good coding capabilities (python\bash etc.)
Team Player!
Advantages:
Prior experience with endpoint security products (agents, sensors, collectors).
Background in working with AI components (training, inference, serving).
Tech Stack:
AWS, Kubernetes, EKS, ECS, Jenkins, IaC, GitHub, Terraform, Python, Ansible, Docker + Compose, ArgoCD, MongoDB, RabbitMQ, Redis, Go, Neo4J, AI, and more.

Requirements:
5+ years of DevOps experience.
Fluent in AWS, Terraform, Helm, and Kubernetes.
Experience with CI/CD technologies.
Experience with large-scale deployments.
Background in MLOps or any AI-related workflows - an advantage.
Ability to learn new technologies quickly.
Strong debugging and troubleshooting skills.
Solid coding skills (python, bash, etc.)
Tech Stack:
AWS, Kubernetes, Jenkins, IaC, GitHub, Terraform, Python, Ansible, Helm, Docker, ArgoCD, Python, Bash and more.

Requirements:
At least 4-5 years of experience in one of the following roles: DevOps, MLOps.
Excellent communication and people oriented
Experience with design, build, development and maintenance of DevOps solutions.
Experience with one of the major cloud providers: AWS, GCP, Azure.
Experience Working cloud & on-prem environments and solutions.
Solid Linux system expert skills - a must
Vast Experience with applications and tooling including Kubernetes, Helm, Terraform, Ansible, SQL/NoSQL/Graph DBs, MLFlow, Jenkins, GitHub, etc.
Experienced with CI\CD technologies.
Experience with bootstrapping projects, introducing new technologies and building systems from scratch.
Good coding capabilities (python\bash etc.)
Advantage- Experience working on endpoint products (agent/sensors/collectors)
Advantage- Experience working on AI components (Training, inference, serving)
Tech stack:
AWS, Kubernetes, EKS, ECS, Jenkins, IaC, GitHub, Terraform, Python, Ansible, Docker+Compose, ArgoCD, MongoDB, RabbitMQ, Redis, Go, Neo4J, AI, MLFlow, Clickhouse, Jupyter and more.

Requirements:
B.Sc. in Computer Engineering / Electrical Engineering / Computer Science
5+ years of experience in embedded software development on RTOS / bare-metal
Strong C/C++ programming skills
Experience with HW/SW interface development and debug
Self driven, fast learner, ability to work independently and drive tasks end to end
System-level thinking: ability to structure, design, and document maintainable systems
Comfortable working in a fast & dynamic environment
Team player, strong communication skills
Preferred Qualifications
Experience with Automotive certification processes
Experience with Linux development
Experience with Logic / protocol analyzers usage.

Requirements:
3-4 years of hands-on backend software development with experience in a professional production environment.
Educational/Background (One of the following is required):
B.Sc. in Computer Science/Engineering from a leading university (Average 85+).
Graduate of a top-tier IDF intelligence unit in a significant development role.
Technical Skills:
Production Mindset: Experience with CI/CD pipelines, Docker, and cloud environments. You understand the operational side of software engineering.
Python Expertise: Deep understanding of Python and its ecosystem (FastAPI/Django/Flask). You know how to write "Pythonic" code and understand how the language works under the hood.
API & System Design: Proven experience designing and developing RESTful APIs. Solid understanding of software design principles, testing practices, and version control (Git).
Database Proficiency: Experience with databases (e.g., SQL, NoSQL), schema design and tools (example: SQLAlchemy).
You are genuinely passionate about technology. You maybe subscribed to tech channels and regularly learn and stay up-to-date on trends in your field.
You have a portfolio of substantial code or experience with interesting systems. You're subscribed to tech channels and regularly learning
Self-motivated, proactive, and independent-you are a fast learner and a problem-solver who knows how to remove roadblocks and get the job done.
We value people who are awesome to work with. You are a humble team player who enjoys sharing knowledge, helping others succeed, and fostering a positive environment.
Excellent verbal and written communication skills in both English and Hebrew.
Nice to Have:
Frontend Literacy: Knowledge of modern frontend frameworks (React) and the ability to contribute to the client-side code when needed.
Exposure to microservice architecture.
Experience with Redis, RabbitMQ, or Kafka.
Familiarity with Kubernetes.

Requirements:
Bachelor's degree in Computer Science / equivalent experience
3+ years of experience in DevOps/Software engineering working in one or more of the big public clouds: AWS / Azure / GCP
3+ years of experience managing an infrastructure-as-code based cloud environment (AWS CDK/CloudFormation/Terraform)
Experience with micro services methodology
Knowledge of AWS common best practices- design, implement, and maintain scalable and reliable cloud infrastructure solutions
Hands-on scripting skills in Bash as well as Python or Typescript
Experience with Git & CI-CD (preferably Github Actions & ArgoCD)
Knowledge of IP networking
Experience maintaining infrastructure that requires high availability and security.
Strong written and verbal communication skills in English and Hebrew
Advantage:
Experience with observability platforms (e.g. EFK/ELK, CloudWatch, Datadog, SumoLogic)
Experience with Kubernetes and HELM (preferably with EKS)
Experience with service mesh technologies such as Istio.

Requirements:
Bachelor's degree in Computer Science / equivalent experience
3+ years of experience in DevOps working in one or more of the big public clouds: AWS / Azure / GCP
Hands-on development experience with Python/ Typescript/ Go
2+ years of experience managing an infrastructure-as-code based cloud environment (AWS CDK/Terraform)
Experience with microservices methodology
Knowledge of AWS common best practices- design, implement, and maintain scalable and reliable cloud infrastructure solutions
Experience with Git & CI-CD (preferably Github Actions & ArgoCD)
Knowledge of networking
Experience maintaining infrastructure that requires high availability and security
Strong written and verbal communication skills in English and Hebrew
Advantages:
Experience with observability platforms (CloudWatch, Datadog, NewRelic, Coralogix)
Experience with Kubernetes and HELM (preferably with EKS)
Experience with Crossplane.

Requirements:
Bachelor's degree in Computer Science / equivalent experience
4+ years of experience in DevOps/Software engineering working in one or more of the big public clouds: AWS / Azure / GCP
3+ years of experience managing an infrastructure-as-code based cloud environment (AWS CDK/Terraform)
Hands-on development experience with Python/ Typescript/ Go
Experience with micro services methodology
Knowledge of AWS common best practices- design, implement, and maintain scalable and reliable cloud infrastructure solutions
Experience with Git & CI-CD (preferably Github Actions & ArgoCD)
Knowledge of networking
Experience maintaining infrastructure that requires high availability and security.
Strong written and verbal communication skills in English and Hebrew
Advantages:
Experience with observability platforms (CloudWatch, Datadog, NewRelic, Coralogix)
Experience with Kubernetes and HELM (preferably with EKS)
Experience with Crossplane.

Requirements:
3+ years of experience in Automation Infrastructure, DevOps, or similar hands-on infrastructure engineering roles.
Strong coding ability in Python and/or Java.
Experience with cloud environments such as AWS or Azure.
Strong proficiency with Linux.
Experience with VMware ESX (provisioning, networking, automation, troubleshooting).
Strong background in CI/CD systems, pipelines, and tooling - must.
Experience working with REST APIs, automation workflows, and integration patterns.
Ability to work effectively across multiple infrastructure domains in a dynamic environment.
Excellent collaboration, communication, and problem-solving skills.
Academic degree in Computer Science or equivalent experience.
Motivation to support R&D teams and improve engineering efficiency.
Advantages
Experience with Terraform, Ansible, or similar infrastructure-as-code tools.
Experience with automated testing of multi-layered or distributed systems.
Understanding of networking fundamentals (Layers 2-3, routing, switching, virtualization networking).
Experience building or maintaining automation frameworks.

Requirements:
Who are you?
5+ years of software engineering experience (3+ years in Scala/Java/Go).
2+ years of experience leading an engineering team (3+ Engineers).
Experience with data pipeline development for streaming/batch processing.
Bachelor's degree in Computer Science (or equivalent), or relevant employment background.
Experienced in designing, developing, and debugging complex, distributed systems (microservices, event-driven).
Experience with developing large-scale, data-oriented applications with high rates and volume.
Passion for writing clean, extensible, and robust code.

Preferred (but not mandatory) experience:
Hands-on experience with Kafka and the various technologies in its ecosystem (Kafka streams, Kafka connect, etc.) or similar technology - A big advantage.
No-SQL columnar databases.
Building microservices in AWS.

Requirements:
Who are you?
5+ years of software engineering experience (2+ years in Scala/Java/GO/Node).
Bachelors degree in Computer Science (or equivalent), or relevant military background.
Experienced in design, development, and debugging of complex, distributed systems (cloud-native, microservices, event-driven).

Preferred (but not mandatory) experience:
MongoDb / Cassandra / Spark.
Docker / Kubernetes.