דרושים » תוכנה » Software Developer

Develop End-to-End Features: Design and implement secure, high-quality software components for our API security solution in an agile environment.
Cloud Integration: Architect and deploy scalable cloud solutions on AWS, leveraging Kubernetes for container orchestration, designing robust microservices, and integrating big data pipelines for processing security data.
Collaboration: Work closely with cross-functional teams (R&D, Product, QA) to deliver innovative, high-impact solutions.
Data-Driven Solutions: Incorporate data analysis and big data methodologies to identify and mitigate security threats.
Stay Current: Keep up with emerging API security trends and continuously integrate new insights into our product.

We are looking for a Senior Data Scientist.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing:
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities

We are looking for a Software Engineer to help the Data Team develop the core automation engine that powers our cutting-edge security platform.
This role goes beyond simple data processingits about building a scalable, well-architecture software foundation for high-performance, cloud-native cybersecurity applications. Youll be designing and implementing robust, maintainable, and testable software components that interact with massive-scale network security data.
Responsibilities:
Design and develop scalable, modular, and maintainable software solutions for our automation engine.
Focus on code structure and software design patterns to ensure maintainability and reliability.
Strong experience with software design principles, test-driven development (TDD), and CI/CD.
Work with large-scale distributed systems in a cloud-native environment (GCP, Kubernetes, microservices).
Collaborate with security researchers, data analysts, and product teams to turn innovative security concepts into production-grade solutions.

We are looking for an innovative, multi-disciplinary cloud developer, to participate in product improvement efforts, ongoing operational tasks and customer facing technical challenges.

You will be required to demonstrate deep technological capabilities as well as great analytical skills.

You will be responsible for developing, maintaining, and improving the quality of our production-critical solutions:

Own, maintain and improve our cloud image creation system
Take part in the ongoing improvement of a wide range of solutions and technologies
Monitor, examine and remediate quality issues in all product aspects
Collaborate with the product focal points on quality, release, and content targets
Adapt and develop technical expertise in specific product aspect
Work closely with customers and support to deliver end-to-end high quality solutions to field issues and requests
Own the certification process of new cloud platforms
Manage our cloud offerings, product release and infrastructure components
Research and integrate new technologies/principles/patterns into our operational stacks

We are seeking a Senior Data Engineer to join our dynamic data team. In this role, you will design, build, and maintain robust data systems and infrastructure that support data collection, processing, and analysis. Your expertise will be crucial in developing scalable data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver actionable insights.

Key Responsibilities:

Design, develop, and maintain scalable ETL processes for data transformation and integration.
Build and manage data pipelines to support analytics and operational needs.
Ensure data accuracy, integrity, and consistency across various sources and systems.
Collaborate with data scientists and analysts to support AI model deployment and data-driven decision-making.
Optimize data storage solutions, including data lakehouses and databases, to enhance performance and scalability..
Monitor and troubleshoot data workflows to maintain system reliability.
Stay updated with emerging technologies and best practices in data engineering.

We are looking for a Data Scientist.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing:
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities

We are looking for a Software Engineer to help the Data Team develop the core automation engine that powers our cutting-edge security platform.
This role goes beyond simple data processingits about building a scalable, well-architecture software foundation for high-performance, cloud-native cybersecurity applications. Youll be designing and implementing robust, maintainable, and testable software components that interact with massive-scale network security data.
Responsibilities:
Design and develop scalable, modular, and maintainable software solutions for our automation engine.
Focus on code structure and software design patterns to ensure maintainability and reliability.
Strong experience with software design principles, test-driven development (TDD), and CI/CD.
Work with large-scale distributed systems in a cloud-native environment (GCP, Kubernetes, microservices).
Collaborate with security researchers, data analysts, and product teams to turn innovative security concepts into production-grade solutions.

Our Data Platform Team Lead will drive innovation and build scalable data infrastructure that influences the heart health of thousands of users. In this role, you will manage a team of 4 senior data engineers & BI developers responsible for the end-to-end development of data product. You will work in close collaboration with other cross-functional teams, including analysts, data scientists, and engineers, to deliver high-quality solutions that drive data insights and business intelligence at scale. As team lead, you will guide and mentor your team ensuring they grow their skills and deliver impactful solutions. Your leadership will be critical in driving team productivity, technical excellence, and fostering an innovative culure.
Our Technologies stack: Python, Spark, Airflow, DBT, Kafka, AWS (Glue, EMR, S3, Athena and more), Docker, Kubernetes, MongoDB, Redis, Postgres, Elasticsearch, and more.
Responsibilities:
Leadership & Team Management: Lead, mentor, and manage a team of 5 senior data engineers. Foster a culture of collaboration, continuous improvement, and technical excellence.
Data Pipeline Development: Oversee the development and optimization of data pipelines and architectures to support our data flows. Ensure data processing is efficient, scalable, and aligned with business goals.
System Integration: Collaborate with cross-functional teams to integrate and optimize systems that retrieve and analyze data to influence user outcomes.
End-to-End Ownership: Take responsibility for the end-to-end development, deployment, and maintenance of our data systems, ensuring they meet business needs and industry standards.
Innovation & Continuous Learning: Stay up-to-date with emerging technologies and best practices. Identify opportunities to innovate and improve data systems and processes.
Collaboration with Stakeholders: Work closely with researchers, architects, and engineers to ensure that data systems align with research objectives and technical requirements.

Lead, mentor, and manage multiple software engineering teams to deliver high-quality, scalable solutions.
Define and drive the software development roadmap, ensuring alignment with business objectives.
Oversee the architecture, design, and implementation of data streaming and processing solutions.
Collaborate with cross-functional teams (e.g., product, operations, and hardware) to deliver end-to-end IoT solutions.
Implement best practices for coding, testing, and deployment to maintain high standards of software quality.
Monitor project progress, manage resources, and ensure timely delivery of milestones.
Stay up-to-date with the latest industry trends, tools, and technologies to drive innovation.

We are seeking a highly skilled DevOps Engineer to join the TLV Foundation Services Team within the BDC organization. In this role, you will be responsible for designing, implementing, and maintaining scalable, highly available production systems. You will collaborate with developers and global infrastructure teams to ensure seamless deployment, automation, and system reliability.
What Youll Do:
System Reliability & Scalability: Build and maintain highly available, scalable, and resilient production systems.
Automation & Infrastructure as Code: Develop and manage infrastructure using Terraform and other IaC tools.
Cloud Infrastructure Management: Configure and manage AWS, Azure, or similar cloud platforms to optimize performance and cost efficiency.
Containerization & Orchestration: Work extensively with K8s and Istio to manage containerized environments.
CI/CD Pipelines: Design, build, and maintain CI/CD automation using Jenkins, GitHub, or similar tools.
Monitoring & Logging: Implement and manage observability tools for monitoring, logging, and metrics collection in large-scale production environments.
Incident Management: Rapidly identify and resolve production issues, ensuring minimal downtime.
Security & Compliance: Implement best practices for security, access control, and compliance within cloud and on-prem environments.
Collaboration: Work closely with developers and infrastructure teams to streamline deployment, automation, and operations.
Support & Maintenance: Provide on-call support as needed to ensure system reliability.