לוח משרות דרושים הייטק תוכנה

Requirements:
3+ years experience as a data/product/business analyst, preferably within a fast-growing consumer company
Degree in Industrial Engineering, Mathematics, Statistics, or a related field
Experience working with SQL
Experience working with BI tools (Looker, Tableau, Mixpanel etc.)
Data-driven, familiar with A/B testing best practices, and adept at working with large data sets
Comfortable working with product managers, as well as data engineering and data science teams, and proficient in presenting technical information in English
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI a commitment to exploring this field is a fundamental part of our culture.

Requirements:
3+ years of experience in a data analytics role, preferably within a fast-growing consumer company
Bachelors degree in Mathematics, Statistics, Computer Science, or a related field
Proficiency in SQL is essential; knowledge of statistical modeling is preferred
Familiarity with digital and offline marketing platforms is strongly preferred
Hands-on experience with modern data analytics stack (e.g. Snowflake, dbt, Looker) and common MarTech tools (e.g. Google Tag Manager, Google Analytics, Appsflyer) is a definite plus
Strong communication skills and ability to collaborate effectively with others
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI a commitment to exploring this field is a fundamental part of our culture.

Requirements:
4+ years of prior experience as a BI Engineer or Data Engineer
Proficient in data modeling, ETL development and DWH methodologies
Strong SQL skills and experience working with Snowflake or similar DB
Prior experience working with Airflow or similar
Experience with Python and software development is an advantage
Excellent communication and collaboration skills
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI a commitment to exploring this field is a fundamental part of our culture.

Requirements:
4+ years of experience in software engineering, with a strong track record of delivering high-scale, production-grade projects
Proficiency in Python programming skills
Experience working with relational and NoSQL databases, as well as cloud platforms (AWS, Azure, GCP)
Strong problem-solving skills, attention to detail, and ability to thrive in a fast-paced, collaborative environment
Experience with training, testing, deployment, and monitoring real-time (or near real-time) machine learning models in production is a plus
Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related field
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI a commitment to exploring this field is a fundamental part of our culture.

Requirements:
3+ years working as a Backend engineer
3+ years working as NLP/ML/DS applied researcher (or equivalent experience)
B.S. in Computer Science, Electrical Engineering, or Mathematics
Enthusiasm for the latest GenAI technologies
Familiarity with modern backend frameworks, tools, and architecture
Experience with production-grade projects
Eagerness to learn quickly and adapt to new technologies and frameworks
Experience in building LLM applications (preferred)
Ability to work in an office environment a minimum of 3 days a week.

Requirements:
BSc. in Computer Science or equivalent.
6+ years of experience as a Backend engineer (Java Spring is an advantage).
Experience with delivering applications end-to-end throughout a full lifecycle, from ideation to planning, development, testing, deployment, and production monitoring.
Deep understanding of OOP and essential Design Patterns.
Deep understanding of Microservice architecture and event-based systems.
Experience working with a variety of persistence layers (SQL, NoSQL, K/V).
Experience working with a cloud provider (AWS is an advantage).

Requirements:
BSc. in Computer Science or equivalent.
At least 4 years of experience as a full-stack engineer in Java Spring
Deep understanding of OOP, SOLID, and essential design patterns
Experience delivering complex systems, from design and planning to development, testing, deployment, and production maintenance.
Experience with microservices architecture and cloud technologies (Docker, K8S, AWS as advantage)
Experience with modern web UI framework (Angular is considered an advantage)
Deep understanding and hands-on experience working with various persistence layers (SQL, NoSQL, K/V).
Hands-on experience using Monitoring and Logging tools (Grafana/Kibana/Coralogix).

Requirements:
BSc. in Computer Science or equivalent.
At least 6 years of experience as a full-stack engineer in Java Spring
Deep understanding of OOP, SOLID, and essential design patterns
Experience delivering complex systems, from design and planning to development, testing, deployment, and production maintenance.
Experience with microservices architecture and cloud technologies (Docker, K8S, AWS as advantage)
Experience with modern web UI framework (Angular is considered an advantage)
Deep understanding and hands-on experience working with various persistence layers (SQL, NoSQL, K/V).
Hands-on experience using Monitoring and Logging tools (Grafana/Kibana/Coralogix).

Requirements:
Must have:
B.Sc. / M.Sc. in Computer Science.
0-2 years of experience in software development preferably as an ML engineer, big data developer or backend developer.
At least 1 year of experience developing in python including academic experience such as a final project, advanced courses, student positions etc.
Outstanding achievements in fundamental computer science courses Data Structures, Algorithms, Systems Programming, Object Oriented Programming.
Fast learner.
Significant Advantages:
Experience working with a cloud technology stack (e.g., AWS, Azure).
Academic background or professional experience in big data development (e.g., databases, distributed systems).
Significant project in machine learning or big data development.
Academic background in Machine Learning or related topics.
Experience with Spark or SQL.
Advantages:
High GPA (90+).
Experience working with git.

Requirements:
​Preferred Qualifications:
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience
Master's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience
8+ years of work experience with Programming Language such as Java, Python, C#.
10+ years of experience in software development.
3+ years of experience designing and leading major architectural changes.

Preferred Qualifications and Technical Experience - What you will bring:
Team player with strong communication, interpersonal and presentation skills
10+ years of experience in software development.
Strong experience in designing architecture for a highly scalable complex distributed system.
Strong understanding of cloud development, deployment, and production operations.
Experience working with micro-services architecture.

Minimum Qualifications:
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Requirements:
3+ years of significant experience and deep knowledge with React Native in a production environment.
Experience with node.js and BFF implementation.
Deep understanding and experience with tests (unit, component, integration, and E2E), CI/CD, and coding-standards enforcement.
Experienced in the infrastructure needed to make compelling frontend experience such as API development (GraphQL, REST), and frameworks.
Experience and deep understanding of iOS and Android ecosystems including getting apps from codebase to the app stores (iOS app store and Google Play).
Experience with delivering applications end-to-end throughout a full lifecycle, from ideation to planning, development, testing, deployment, and production monitoring.
Experience working with Appcenter and Fastlane.
Experience working with a cloud provider (AWS is an advantage).
Experience working in an agile team.
Experience with Redux.