לוח משרות דרושים

Requirements:
Minimum 5+ years of enterprise software sales experience, preferably within the Financial Services Industry.
Demonstrated ability to grow and scale sales operations; first-line management experience is a plus.
Comfortable engaging with C-suite executives and managing a portfolio of up to 10 key accounts.
Strong executive presence, excellent interpersonal, written, and presentation skills.
Proven forecasting accuracy and commitment to sales targets.
Ability to thrive in a fast-paced, high-growth, and rapidly changing environment.
Capable of working independently and remotely from team members.
Relevant experience in IT systems, enterprise or infrastructure management, application development and management, security, and/or analytics.
Extensive use of CRM systems such as Salesforce.
Proven success and knowledge of prospects and customers within the Israeli FSI territory.
Proficiency in Hebrew and English.
Bachelors degree required; MBA is a plus.

Requirements:
8+ years of professional software engineering experience, with proven ability to design, implement, and deliver complex distributed systems in production.
Strong problem-solving, debugging, and system-design skills, with a focus on scalability and maintainability.
Validated experience in backend or full-stack development using one or more of the following languages: Java, TypeScript/Node.js, Go, or Python.
Proven understanding of distributed systems, microservices architecture, and RESTful or GraphQL APIs.
Hands-on experience with cloud-native development on AWS, including containerized workloads running on EKS (Kubernetes).
Proficiency with databases - relational (e.g., PostgreSQL) or NoSQL (e.g., MongoDB, Redis, OpenSearch) - and familiarity with data-driven application design.
Deep understanding of authentication, authorization, and modern identity and access management concepts.
Familiarity with streaming and messaging systems, such as Apache Kafka.
Preferred Qualifications
Experience building or integrating with multiple identity providers (e.g., Okta, Azure AD, Ping) and designing identity fabric or zero-trust architectures
Exposure to AI-driven platforms, leveraging AI/ML for developer productivity, anomaly detection, or access intelligence.
Knowledge of Infrastructure as Code (IaC) tools such as Helm and Terraform, and familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry).
Background in security-focused design, including secrets managemet, policy-as-code, and compliance automation.
Experience contributing to platform engineering or developer-enablement initiatives in large-scale environments.
Passion for innovation, continuous improvement, and building tools that make developers lives easier.

Requirements:
A PhD in computer science or related fields with 5 years of industry or academic experience in artificial intelligence, OR Masters with 7 years of related industry experience OR Bachelors with 10 years of related industry experience.
Strong programming skills in generic programming languages such as Python.
Experience in one or more of the following areas:
Designing and building scalable, reliable, and secure backend infrastructure (e.g., distributed systems, cloud services, data pipelines, APIs) for large-scale applications.
A strong background in AI, machine learning, and deep learning technologies, with a solid understanding of core ML concepts such as bias and variance, supervised and unsupervised learning, and Generative AI.
Developing, training, fine-tuning, or evaluating AI/ML models, algorithms, or platforms (including deep learning, reinforcement learning, generative models, etc.).
Preferred Qualifications:
Comfortable with fast, iterative development cycles in an environment that requires autonomous thinking, risk taking and bias for action.
Ability to use the latest GenAI technologies and methodologies for software development workflows.
Familiarity with ML frameworks like PyTorch.
Excellent written and verbal communication skills, strong analytical and problem-solving skills.
Fluency in reading academic papers on AI/ML and security and the ability to translate their ideas into prototype or production systems.

Requirements:
5+ years of professional software engineering experience, with proven ability to design, implement, and deliver complex distributed systems in production.
Strong problem-solving, debugging, and system-design skills, with a focus on scalability and maintainability.
Proven experience in backend or full-stack development using one or more of the following languages: Java, TypeScript/Node.js, Go, or Python.
Solid understanding of distributed systems, microservices architecture, and RESTful or GraphQL APIs.
Hands-on experience with cloud-native development on AWS, including containerized workloads running on Kubernetes (EKS).
Proficiency with databases - relational (e.g., PostgreSQL) or NoSQL (e.g., MongoDB, Redis, OpenSearch) - and familiarity with data-driven application design
Experience using GitHub and GitHub Actions for version control, CI/CD, and collaborative development.
Understanding of authentication, authorization, and modern identity and access management concepts.
Familiarity with streaming and messaging systems, such as Apache Kafka.
Preferred Qualifications:
Experience building or integrating with multiple identity providers (e.g., Okta, Azure AD, Ping) and designing identity fabric or zero-trust architectures.
Exposure to AI-driven platforms, leveraging AI/ML for developer productivity, anomaly detection, or access intelligence.
Knowledge of Infrastructure as Code (IaC) tools such as Helm and Terraform, and familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry).
Background in security-focused design, including secrets management, policy-as-code, and compliance automation.
Experience contributing to platform engineering or developer-enablement initiatives in large-scale environments.
Passion for innovation, continuous improvement, and building tools that make developers lives easier.

Requirements:
5+ years of professional experience in software engineering, data engineering, or product ownership roles.
Strong development experience with Python or Golang (both - advantage).
Demonstrated ability to translate business requirements into technical roadmaps and deliverables.
Experience working in Agile/Scrum environments and managing product backlogs.
Experience with orchestration and containerization (Kubernetes, Docker).
Familiarity with Linux and cloud infrastructure (especially AWS).
Preferred Qualifications:
Bachelors or masters degree in computer science, Engineering, or related field.
Familiarity with data warehousing and modern data stack technologies.
Proven hands-on experience with Apache Airflow, and Apache Spark.
Knowledge of message queues and real-time systems (RabbitMQ, Redis, Kinesis).
Knowledge of DevOps and CI/CD tools.
Strong stakeholder management and communication skills.
Ability to balance technical depth with strategic vision.

Requirements:
B.Sc. in Computer Science, Software Engineering, or a related field, with 6+ years of related experience
Proven experience building and deploying production-grade backend systems
Proficiency in backend technologies such as Python, NodeJS, and cloud-native tools (AWS, Docker, Kubernetes)
Deep understanding of distributed systems, microservice design, and API architecture
Preferred Qualifications:
Experience leading design discussions and delivering end-to-end features
Hands-on experience with performance tuning and large-scale systems
Familiarity with observability and monitoring practices
Experience collaborating with product and business stakeholders to define technical priorities and translate product needs into engineering tasks
Strong communication and mentorship skills
Team player with high sense of ownership and accountability