לוח משרות דרושים הייטק תוכנה

Requirements:
5+ years of experience in data product management or equivalent technical product roles or solutions architect in a big data environment.
Proven track record in owning large-scale data systems and leading cross-functional data initiatives involving data engineering, data science, and analytics teams.
Experience delivering data products for both revenue-generating and platform-scale contexts.
Hands-on experience with large-scale data collection, classification, curation, and delivery systems, especially in companies that build or sell data products.
Experience driving data modeling, transformation, classification and delivering complex entity relationships and high-quality standards.
Practical exposure to AI/ML productization in partnering with data science teams.

Requirements:
You’ll do it using: 4+ years of proven experience as a front-end developer focusing on infrastructure. Excellent expertise in front-end architecture and design. Strong proficiency in React. Deep knowledge of Typescript. Experience with Docker, Jenkins, Git, and cloud platforms – advantage. Java & other backend knowledge (microservices, DBs, etc.) – advantage.
You’ll excel by:? Effectively collaborate with cross-functional teams and communicate ideas. Demonstrating analytical solid and critical-thinking skills to identify and solve complex technical challenges continuously. Being self-reliant in your work and decision-making. Having self-motivation, accountability, and an innovative spirit. Showing a User-Centric Mindset. Take full responsibility and demonstrate strong ownership for project success.

Requirements:
5+ years of experience in developing rich web applications.
Backend experience with OOP languages (e.g. C#, .NET,Node.js).
Deep understanding of browser internals, web APIs, and web performance optimization.
Familiarity with cloud platforms (particularly AWS) and containerization (Docker, Kubernetes).
3+ years of hands-on experience with React.
Proven experience with performance and profiling tools.
Hands-on experience with React Testing Library.
BSc/BA in Computer Science or equivalent military background.

Requirements:
5+ years of experience in software engineering, with strong proficiency in Python.
Experience with LangGraph, LangChain, or similar frameworks for building AI agents.
Strong understanding of LLMs, prompt engineering, and AI agent architectures.
Familiarity with REST APIs and integrating external data sources.
Preferred Skills:
Familiarity with the AI Agents ecosystem, including different LLM providers, vector store solutions, MCPs, and more.
Experience with evaluating LLM performance and quality.
Familiarity with cloud environments, especially AWS.

Requirements:
B.Sc. or M.Sc. in Computer Science or a related field or equivalent work experience.
At least 3+ years of related experience in software development with 2+ years of experience in native Android app development (using Java/Kotlin).
Have recent experience working on at least one app which was published to the Playstore.
Experience with Jetpack Compose and Kotlin coroutines.
Experienced with CI/CD pipelines (Gitlab CI, Github Actions, etc.) and automatic testing frameworks - advantage
Experienced with with iOS apps development - advantage
Experienced with Node.js and cloud technologies (S3, EC2, EMR or comparable services) - advantage
Comfortable taking challenges and learning new technologies, including new coding languages.
Passionate for high-scale ecosystems.
Excellent team player with strong communication skills.
High proficiency in both written and spoken English.

Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5+ years of experience in backend development, with a strong focus on infrastructure and platform engineering.
Proficiency in programming languages such as C#, Python, Java, or Go.
Experience building large-scale infrastructure applications or large-scale web applications.
Experience improving stability of large-scale systems using monitoring, solving bottle-necks and making appropriate changes.
High coding standards, working independently and experience leading long term tech tasks involving many teams and stakeholders.
Experience with cloud platforms (e.g., AWS, GCP, Azure) and container orchestration tools like Kubernetes.
Familiarity with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Ansible).
Demonstrated experience in integrating and leveraging AI tools to enhance development workflows.

Requirements:
At least 2 years experience with SQL/pySpark for data analysis - Must
Experience in Python scripting - Must
Excellent verbal and communication skills in English - Must
AWS Infrastructure experience - Big Advantage
Working with clients - Big Advantage.
Proficiency in Online Marketing/Online Services - Advantage
At least 2 years work experience in Online/Tech Company - Advantage
Team player, autodidact, fast learner with excellent analytical, research and business skills.
Demonstrates initiative and a proactive mindset -Must
Experienced in independently managing complex projects from start to finish.
Have a Bachelor's in Statistics, Computer Science, Engineering, or related field.
Master's degree - Big Advantage.

Requirements:
At least 2 years of work experience in a Tech Company - Must
At least 2 years experience in Python scripting - Must
Experience with SQL for data analysis -Must
Knowledge and understanding of the statistical principles, concepts, methods, and standards- Must
Hadoop/Spark/AWS Infrastructure experience - Big Advantage
Ability to visualize data and experience with a visualization tool and modules (mlplot, matplolib, sns)- Big Advantage
Excellent verbal and communication skills (in English) - Must
Team player, autodidact, fast learner with excellent analytical, research and business skills.

Requirements:
Key Responsibilities: Data Analysis & Insights · Extract, clean, and manipulate data using SQL, Python and AI Tools. · Analyze transaction data to identify trends, anomalies, and opportunities for optimization, supporting business objectives. · Monitor fraud patterns and support risk mitigation strategies using advanced analytics. · Provide insights for settlement processes, banks reconciliation and customer behavior analysis. · Develop and maintain dashboards and reports for payment performance, risk metrics, and operational KPIs to provide clear, actionable insights.
Collaboration & Stakeholder Support · Work closely with the business unit, product, R&D, engineering, data and compliance teams to deliver tailored analytical solutions, improve payment flows and reduce friction. · Communicate findings and insights effectively to both technical and non-technical stakeholders. · Provide data-driven recommendations to support strategic and operational decisions. Data Quality & Optimization · Ensure accuracy, consistency, and reliability of data used in analysis and reporting. · Ensure data integrity and compliance with regulatory standards. · Contribute to continuous improvement of data processes, tools, and methodologies. · Collaborate with data engineering teams to enhance data accessibility and efficiency.
Qualifications: Experience:
* Minimum 2–3 years of professional experience in data analytics, preferably in payments, fintech, or banking.
* Familiarity with payment systems (card networks, acquiring/issuing, digital wallets). - advantage
* Knowledge of chargebacks, and regulatory compliance. - advantage o Understanding ML techniques for risk analytics and exposure to cloud data platforms (Azure, AWS, GCP, DBX) are advantages. Technical Skills:
* Strong proficiency in SQL for querying and manipulating data.
* Working knowledge of Python for data analysis (e.g., Pandas, NumPy, visualization libraries).
* Experience with BI platforms for building dashboards and reports.
* Experience working with AI Tools Soft Skills:
* Strong analytical and problem-solving mindset with attention to details.
* Ability to translate data into business insights.
* Excellent communication skills and ability to collaborate across teams.

Requirements:
Has 5+ years of experience in developing code for big data infrastructure. Proficiency in technologies such as: Databricks, Spark, Airflow, Firehose, SQS, or other similar tools.
Proven experience working with high scale on AWS or any other cloud provider. Experience in architecture and design of large-scale and high performance production systems.
Comfortable taking challenges and learning new technologies.
Excellent communication skills with the ability to provide constant dialog between teams.
Ability to take business requirements and translate them to technical alternatives by performing risk management and evaluating tradeoffs.

Requirements:
Holds a M.Sc in Computer Science/Mathematics/Physics or any other relevant field - Required
Has 3+ years of experience with statistical and machine learning tools - Python, R, etc.
Strong communicative and verbal abilities to lead and guide customers through the logic of custom-built models
Has previous experience developing machine learning/ image processing/NLP or similar algorithms
Demonstrated experience utilizing probability theory and statistics
Experience with Big Data tools and cloud infrastructure; PySpark, AWS (big advantage)
Strong analytical skills; experience analyzing and processing tabular data, and extracting insights (big advantage)

Requirements:
Passionate about data.
Holds a BSc degree in Computer Science\Engineering or a related technical field of study.
Has at least 5 years of software or data engineering development experience in one or more of the following programming languages: Python, Java, or Scala.
Has strong programming skills and knowledge of Data Structures, Design Patterns and Object Oriented Programming.
Has good understanding and experience of CI/CD practices and Git.
Excellent communication skills with the ability to provide constant dialog between and within data teams.
Can easily prioritize tasks and work independently and with others.
Conveys a strong sense of ownership over the products of the team.
Is comfortable working in a fast-paced dynamic environment.
Advantage:
Has experience with containerization technologies like Docker and Kubernetes.
Experience in designing and productization of complex big data pipelines.
Familiar with a cloud provider (AWS / Azure / GCP).

Requirements:
At least 2 years of work experience in a Tech Company - Must
At least 2 years experience in Python scripting - Must
Experience with SQL for data analysis -Must
Knowledge and understanding of the statistical principles, concepts, methods, and standards- Must
Hadoop/Spark/AWS Infrastructure experience - Big Advantage
Ability to visualize data and experience with a visualization tool and modules (mlplot, matplolib, sns)- Big Advantage
Excellent verbal and communication skills (in English) - Must
Team player, autodidact, fast learner with excellent analytical, research and business skills.

Requirements:
Holds a M.Sc in Computer Science/Mathematics/Physics or any other relevant field - Required
Has 5+ years of experience with statistical and machine learning tools - Python, R, etc.
Strong communicative and verbal abilities to lead and guide customers through the logic of custom-built models
Has previous experience developing machine learning/ image processing/NLP or similar algorithms
Demonstrated experience utilizing probability theory and statistics
Experience with Big Data tools and cloud infrastructure; PySpark, AWS (big advantage)
Strong analytical skills; experience analyzing and processing tabular data, and extracting insights (big advantage)