חיפוש עבודה

*5+ years of backend coding experience
Backend experience (Python, NodeJS, Java, Go)
Working knowledge of SQL and NoSQL databases
Working with one of the cloud providers: AWS, Google, Microsoft
Bonus Skills:

Experience with scale
Experience as Data Engineer / Data Analyst
Experience with Kubernetes
Experience with Firebolt
Experience in Ad-Tech

" +3 years of experience in large scale, distributed server side, backend development
" Extensive experience in stream & batch big data pipeline processing using Apache Spark
" Experience with Linux, Docker, and Kubernetes
" Experience in working with cloud providers (e.g., AWS, GCP)
" Strong experience with event streaming platforms like Kafka or its alternatives, such as Amazon MSK, Azure Event Hubs, or Confluent Cloud.
" A team player, highly motivated and a fast learner
" Ability to assume ownership of goals and products
" Passion for designing scalable, distributable and robust platforms and analytic tools

" +3 years of experience developing using Scala
" Experience developing using NodeJS (preferably TypeScript), Python, Groovy
" Experience in stream & batch big data pipeline processing using Apache Flink
" Experience with Kafka, Airflow, Mongo, Elastic, HDFS or similar technologies
" Experience with system monitoring (Prometheus, Influx or similar)
" Experience in independently managing development projects from scratch to production
" Experience in microservices architecture and flexible system design

B.Sc. in Computer / Electrical engineering from a well-known institute
• At least 3 years of hands-on experience in machine learning or deep learning
• Experience with training on GPU servers
• Expert in digital signal processing
• Experience with tools and with PyTorch/TensorFlow
• Experience with Python and C/C++ and code analysis
• Ability to innovate and apply skills to new fields
• Personalskills - team player, willing to work hard and fast learner
Desirables:
• 5 year experience or more
• M.Sc. in Computer / Electrical engineering from a well-known institute
• Experience with LLM, Gen-AI, ANNS
• Experience with storage

At least 3-4 years of experience in software development, with a focus on full stack development.
Strong proficiency in front-end technologies (e.g., React, Angular, Vue.js) and back-end technologies (e.g., Node.js, Python, Java, Go).
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
Solid understanding of database technologies (e.g., SQL, NoSQL).
Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.
Excellent communication and interpersonal skills.
Experience with data loss prevention or related fields – an advantage.
BSc or MSc degree in Computer Science, Engineering, or a related field

Bachelors degree in Computer Science, Software Engineering, or a related field.
At least 5 years of software development experience, including 2 years managing teams.
Experience with web development frameworks such as Angular, React, or Vue.
Proficiency in Python or other backend programing language.
Expertise in AWS and working in high-scale production environment.
Excellent problem-solving skills and attention to detail.
Strong communication and interpersonal skills.
Ability to work effectively in a fast-paced and dynamic environment.

Hands-on mindset – we all write code daily!
3+ years of relevant DevOps experience building CI/CD pipelines for both development and production – must.
2+ years of AWS Cloud experience working with high-traffic systems and multiple services – must.
Strong scripting skills, with fluency in Python – must.
Experience with containers and orchestration tools (Docker, Kubernetes, or ECS) – must.
Experience with CI integration tools such as Jenkins.
Familiarity with AWS CloudFormation – an advantage.
Exposure to a wide range of open-source technologies (Redis, Nagios, Grafana, Prometheus, etc.).
Knowledge of best practices in security, performance, and monitoring.
Proven ability to research, evaluate, and implement new technologies, including running proof of concepts and cost analysis.

" 5+ years building production web applications with modern frameworks
" Strong understanding of component-based frontend architecture
" Experience with RESTful APIs and database design principles
" Proficiency in a statically typed language (TypeScript, Go, Java, etc.)
" Knowledge of testing strategies (unit, integration, e2e)
" Understanding of containerization and deployment pipelines
" Experience with message queues and event-driven architectures
Primary Stack Components
o React (TypeScript)
o NestJS (TypeScript)
o MongoDB and Postgres
o RabbitMQ
o Kubernetes

At least 5 years of experience in a similar role
Hands-on experience with extended Berkeley Packet Filter (eBPF) and related concepts (kprobes & uprobes usage specifically).
Solid grasp of networking protocols and stack, including HTTP, TCP/IP, UDP, etc.
Programming Languages: Proficiency in at least one of C#/ C++/ Go language
Experience in scripting languages (e.g., Python, Bash).
Experience with Linux kernel module development, device drivers, and kernel internals.
Hands-on experience with system calls, multithreading, and memory management.
Experience with CI/CD pipelines and automation frameworks.

7+ years of software development experience, with expertise in at least one of the following: Golang, C#
1-2 years of experience leading a team or mentoring developers in a fast-paced environment.
Strong problem-solving skills and ability to work in a dynamic startup environment.
Experience with secure coding practices and familiarity with cybersecurity concepts is a plus.
Ability to recruit, onboard, and develop engineering talent.
Excellent communication and leadership skills.
Nice to have

Experience with cloud platforms (AWS, Azure, GCP).
Knowledge of networking and cybersecurity principles.
Familiarity with DevOps and CI/CD pipelines.

BSc/MSc degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
- Over 5 years of industry working experience in hands-on development of computer vision algorithms.
- Over 5 years of industry working experience in hands-on development of neural networks / Deep Learning models.
- Extensive experience in research and development of deep learning solutions within the computer vision domain.
- Experience with various computer vision tasks with specialization in at least one of these fields: Object detection, Tracking, Semantic Segmentation, Camera Calibrations
Scene and object motion estimation, SLAM, State Estimation, Sensor Fusion, Generative models (such as GANs) and Pose estimation.
- Demonstrated expertise in data manipulation, statistical modeling and ML/DL solution implementation in production environments (using TensorFlow/Pytorch).
- Proficiency in Python programming - over 4 years of professional development.

BS/MS in Computer Science or related field.
- 5+ years of software engineering experience in an academic or industrial setting.
- Proficiency in Python.
- Proficiency in development in Linux environment.
- The ability and desire to work in the dynamic environment of an early-stage company.
- Mentored or supervised junior software engineers or has experience as a tech lead.

• 2–3 years of software development experience (Outstanding recent graduates with a GPA above 90 will also be considered)
• Proficiency in C/C++ and Python
• Experience developing software for complex SoC platforms is a strong plus
• Experience working with hardware/CPU simulators or emulators is an advantage
• Knowledge of Layer 2/Layer 3 networking protocols (e.g., Ethernet, TCP/IP) is a plus

• Strong technical capabilities
• Fast learner with a proactive attitude
• Highly motivated and self-driven
• Excellent team player with strong communication skills


B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related field

• 2–3 years of software development experience (Outstanding recent graduates with a GPA above 90 will also be considered)
• Proficiency in C/C++ and Python
• Experience developing software for complex SoC platforms is a strong plus
• Experience working with hardware/CPU simulators or emulators is an advantage
• Knowledge of Layer 2/Layer 3 networking protocols (e.g., Ethernet, TCP/IP) is a plus

• Strong technical capabilities
• Fast learner with a proactive attitude
• Highly motivated and self-driven
• Excellent team player with strong communication skills


B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related field

B.Sc. in Computer Science, Software Engineering, or a related field (or equivalent experience).
10+ years of experience in software development, with a focus on software system architecture.
4+ years of experience leading engineering teams and managing end-to-end project lifecycles.
Strong background in building large-scale, high-performance financial or transactional systems.
Experience with data pipelines, big data infrastructure, microservices architecture, and message bus.
Hands-on experience with Java and Python, and modern cloud technologies.
Ability to collaborate and communicate effectively across engineering, finance, risk, and product stakeholders.
Adaptability to thrive in a fast-paced, dynamic environment.
Solution-oriented mindset with a proactive approach to problem-solving.
Proficiency in written and spoken English.

7+ years of backend development experience, preferably in Python (but open to strong engineers in other languages).
Deep experience with databases (SQL or NoSQL), queues, and streaming platforms.
Experience working with complex architectures, microservices, and production-scale systems.
Proven ability to work independently and deliver high-quality solutions in fast-paced environments.
Strong understanding of software design principles and engineering best practices.
Fluent in English (working language).

3+ years of experience as an MLOps, ML Infrastructure, or Software Engineer in ML-driven environments, preferably with PyTorch.
Strong proficiency in Python, SQL (leveraging platforms like Snowflake and RDS), and distributed computing frameworks (e.g., Dask, Spark) for processing large-scale data in formats like Parquet.
Hands-on experience with feature stores, key-value stores like Redis, MLflow (or similar tools), Kubernetes, Docker, cloud infrastructure (AWS, specifically S3 and EC2), and orchestration tools (Airflow).
Proven ability to build and maintain scalable and version-controlled data pipelines, including real-time streaming with tools like Kafka.
Experience in designing and deploying robust ML serving infrastructures with CI/CD automation.
Familiarity with monitoring tools and practices for ML systems, including drift detection and model performance evaluation.

At least 2 years in a DevOps leadership position and over 5 years of hands-on DevOps experience.
Deep knowledge of AWS and infrastructure best practices.
Strong expertise in Kubernetes (EKS), Terraform, GitOps, CI/CD (GitHub Actions, ArgoCD).
Scripting skills (Python/Go/Bash) and a strong automation mindset.
Track record of improving systems proactively and reactively.
Experience leading technical teams in complex, distributed environments.
Familiarity with monitoring and observability tools (e.g., Datadog, Prometheus).
Solid understanding of security principles, cloud networking, and compliance (SOC 2).
Strong communication and leadership skills; ability to mentor, motivate, and develop others.

4+ years of experience as a Data Engineer.
4+ years of Python and SQL experience.
4+ years of direct experience with SQL (Redshift/Snowflake), data modeling, data warehousing, and building ELT/ETL pipelines (DBT & Airflow preferred).
3+ years of experience in scalable data architecture, fault-tolerant ETL, and data quality monitoring in the cloud.
Hands-on experience with cloud environments (AWS preferred) and big data technologies (EMR, EC2, S3, Snowflake, Spark Streaming, Kafka, DBT).
Strong troubleshooting and debugging skills in large-scale systems.
Deep understanding of distributed data processing and tools such as Kafka, Spark, and Airflow.
Experience with design patterns, coding best practices, and data modeling.
Proficiency with Git and modern source control.
Basic Linux/Unix system administration skills.

Python experience of 5+ years

• Experience with server-to-server communication (e.g.,REST, gRPC)

• Hands-on experience with containers and orchestration (e.g., Kubernetes)

• Experience working with Linux

• Familiarity with databases (relational and non-relational)

• Understanding of networks and knowledge of common networking protocols

• Strong skills in diagnosing and fixing issues

• Strong problem-solving skills and ability to work independently and collaboratively in a fast-paced

environment.

• Strong teamwork and communication skills, with experience collaborating across cross-disciplinary

teams.

Preferred Qualifications

• General Linux skills, such as setting up common services (e.g., Nginx), understanding YAML files,

etc

• Experience with TSDB (e.g., Influx)

• Knowledge of cloud platforms and services (e.g., AWS, Azure).



What We Offer

• An opportunity to work on cutting-edge technologies and really make an impact on a large scale

• A collaborative and innovative work environment

• Continuous learning and professional development opportunities

Python experience of 5+ years

• Experience with server-to-server communication (e.g.,REST, gRPC)

• Hands-on experience with containers and orchestration (e.g., Kubernetes)

• Experience working with Linux

• Familiarity with databases (relational and non-relational)

• Understanding of networks and knowledge of common networking protocols

• Strong skills in diagnosing and fixing issues

• Strong problem-solving skills and ability to work independently and collaboratively in a fast-paced

environment.

• Strong teamwork and communication skills, with experience collaborating across cross-disciplinary

teams.

Preferred Qualifications

• General Linux skills, such as setting up common services (e.g., Nginx), understanding YAML files,

etc

• Experience with TSDB (e.g., Influx)

• Knowledge of cloud platforms and services (e.g., AWS, Azure).



What We Offer

• An opportunity to work on cutting-edge technologies and really make an impact on a large scale

• A collaborative and innovative work environment

• Continuous learning and professional development opportunities