לוח משרות דרושים מתכנת Python

Requirements:
At least 3 years of experience in DevOps work in a fast-growing product company.
Proven experience with complex system deployments end-to-end in cloud environments.
Proficiency in scripting (Python, Bash) and automation.
Hands-on experience with Terraform or equivalent tools.
Experienced with CI/CD pipelines in AWS and GitHub.
Strong understanding of cloud architecture and best practices.
Team player with strong communication skill

Requirements:
B.Sc. in Computer Science, Electrical Engineering, or Mathematics
Experience in GenAI tools such as LLM Orchestrations and integration packages, Agents, RAG systems
5+ years expertise with modern backend programming languages such as Python/Java/Scala/Kotlin/Go
Experience writing code in Agile, CI/CD-based production environments
Experience working with Big data technologies such as Kafka/Spark/OpenSearch, Parquet/Avro/Delta Lake/Iceberg
Strong communication and collaboration skills
Data-engineering, architecture, data-science roles or security domain knowledge are an advantage

Requirements:
5+ years of experience as a hands-on backend engineer with proven experience with Cloud Services
Expertise in modern programming languages such as Python, Go, Rust, C#, Java, Scala, Kotlin.
Experience working with large-scale cloud services (AWS, Azure, or GCP).
Strong understanding of infrastructure code, infrastructure services and practical engineering approach in mind.
Hands-on experience in Agile environments with CI/CD pipelines.
Proven track record of working in high-growth startup environments with a mindset for scalability and reliability.
Bonus: Experience in AI tool based development

Requirements:
5+ years of experience in the field of security research, with at least 3 of them focusing on cloud, web, and/or API security.
Proficiency in programming languages like JavaScript and Python and the ability to query large data with SQL-like languages.
Experience working with cloud environments and understanding of cloud security best practices.
Strong knowledge of security principles, protocols, and best practices.
Excellent problem-solving skills and ability to think creatively.
Self-driven and able to work independently, with a proactive attitude towards continuous learning and self-study (others will need to corroborate this 🙂).
Advantages:
Experience with LLMs - prompt engineering, prompt injection, jailbreaking.
Experience in Detection Engineering and Detection Engines - designing, writing, improving rules.

Requirements:
Passionate team player with minimum 5 years of experience
Expertise with modern programming languages such as Python/C#/Java/Scala/Kotlin/TypeScript/JavaScript
Experience writing code in Agile, CI/CD-based environments
Experience working in a high-growth startup environment
Advantage: Experience working with Big data technologies such as Kafka/Spark/OpenSearch
Advantage: Experience working with Big data formats such as Parquet/Avro/Delta Lake/Iceberg
Advantage: Experience working on large-scale services based on AWS/Azure/GCP

Requirements:
5+ years of experience as a Software Engineer
2+ years of people management experience
Bachelor's degree in Computer Science, Engineering, or a related field
Experience with modern programming Languages: Python / JavaScript / C# / Java / Golang / Scala
Experience with writing code in Agile, CI/CD based environments
Advantage: experience working on large-scale cloud-based services
Flexibility and resilience in a dynamic environment
Strong leadership skills with a track record of leading and mentoring technical teams
Excellent problem-solving and analytical abilities
Can-do attitude!

Requirements:
At least 5 years of hands-on experience performing software development.
Experience with Unit and component Tests for both BE and FE.
Experience with playwright for component frontend testing.
Experience with NFT (performance, load, soak, chaos testing).
Experience with Dockers, K8S in a CI/CD environment.
Experience with cloud services like AWS / GCP / Azure.
Experience with TDD.
Experience with LLM's testing.
Experience with Microservices development and Testing.
Strong knowledge and experience in JS/TS, Python, .NET, Design Patterns, and OO Concepts.
Highly motivated, long-term vision, mission-oriented personality for solving problems and building state-of-art testing solutions.
Strong team and cross-team player who interacts internally and externally with other engineers in the organization.
A self-managed and self-learner person who can handle context switching and has a high pace of work.

Requirements:
Minimum Qualifications
Programming experience in a relevant programming language
Relevant experience building large-scale infrastructure systems or similar experience
Experience identifying, designing and completing medium to large features independently without guidance
Experience with scripting languages such as Python, Javascript or Hack
Experience building and shipping high quality work and achieving high reliability
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining us
Preferred Qualifications
Exposure to architectural patterns of large scale software applications
Experience in programming languages such as C, C++, Java.

Requirements:
At least 5 years of experience as data scientist /researcher, combining excellent hands-on SQL and Python skills
At least 3 years of experience applying ML algorithms to solve real world business problems (e.g., Logistic Regression, Neural Networks, K-Means and decision trees)
B.Sc in Computer Science, Statistics, Operations Research or equivalent
Solid background with data lake and data warehouse technologies
Great communication skills, Hands-On, independent and out of the box thinker
You might also have
Proven experience with Airflow development
Experience with functional programming & big data technologies such as Spark, Trino, SingleStore DB
Experience with Cloud Computing
Experience in the Mobile gaming and advertising industries

Requirements:
Expert-level proficiency in Python, Java/Scala with demonstrable production experience
Advanced knowledge of streaming technologies such as Kafka or Kinesis
Mastery of big data processing frameworks including Apache Spark, Trino, Ray, or Dask Comprehensive experience with Data Lake management, including table formats (Iceberg, Delta, Hudi) and data warehouses (Redshift, BigQuery, Snowflake)
Proven expertise in workflow management systems (Airflow, Kubeflow, Argo)
Strong understanding of microservices architecture and event-driven design
Proven experience with huge volumes of data in production environments.
You might also have:
Cloud platform expertise across AWS, Google Cloud, or Azure, with containerization experience (Docker, Kubernetes)
Hands-on experience with ML frameworks including TensorFlow, PyTorch, and Scikit-Learn
MLOps proficiency including model registry management, experiment tracking (MLFlow, W&B), feature store management (Feast, Tecton), and serving platforms (Seldon Core, KServe, Ray Serve, SageMaker)
Experience with Vector Databases and Generative AI/Large Language Models
Basic knowledge of ML algorithms and data analysis techniques

Requirements:
BSc or MSc in Computer Science, Software Engineering, or equivalent
5+ years of software development experience
2+ years of experience with a focus on search/recommendation/ads technologies and relevance engineering
Proficiency in programming languages like Go, Python
Strong understanding of information retrieval, NLP, graph architectures and machine learning concepts
An avid learner with a deep passion for data, eager to explore new territories and solve complex problems
Fluent in English, with strong verbal and written communication skills, including the ability to visualize and explain complex concepts.

Requirements:
2-4 years of professional software engineering experience
Strong proficiency in at least one backend programming language (Go, Python, Java, etc.)
Experience with big data technologies, working in ultra high-scale
Hands on Experience with cloud platforms (AWS, GCP, or Azure)
You might also have:
ML knowledge
Front end knowledge (Angular / react)

Requirements:
5+ years of meaningful experience with backend and frontend development.
Proficient with backend development framework/s and language/s (RoR, Python, NodeJS etc)
Proven practical experience developing and deploying features leveraging LLMs, including prompt engineering, evaluation strategies, and performance optimization - Bonus
Experienced with at least of the following: React, Angular, AngularJS, Vue
Team player with an awesome attitude: we hire people who want to make a difference.
Excellent communication skills (Hebrew & English)
Loves product, loves owning tasks end to end and after they are live, etc.

Requirements:
10+ years of hands-on experience in backend development, with deep expertise in Java / TypeScript / Python and a strong grasp of software engineering best practices.
A proven track record of leading the design and implementation of complex, scalable, and high-performance systems in production environments.
Architectural experienceyouve made critical design decisions, defined technical direction, and guided teams through system evolution.
Strong understanding of distributed systems, RESTful APIs, databases, message queues, multi-tenancy, and cloud-native computing.
Experience building and evolving microservices-based architectures, ideally deployed in Kubernetes or similar container orchestration platforms.
A collaborative, communicative approachyoure comfortable influencing across teams, mentoring engineers, and driving alignment.
A proactive, ownership-driven attitudeyou seek out opportunities, solve problems before they escalate, and take initiative to improve systems and processes.
Advantages:
Experience with GenAI implementations, LLM integrations, Vector Databases (e.g., Mongo Atlas Search, Elastic Search), and embedding-based search.
Background in Cybersecurity, data privacy, or compliance-related domains, especially with experience designing secure-by-default systems.
Experience evaluating and integrating third-party APIs, SDKs, or cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI).