לוח משרות דרושים הייטק

Requirements:
3+ years of relevant experience
Experience with application security and hands-on penetration testing
Experience in application development with at least one modern programming language.
Experience performing code reviews
Expertise in security tools and processes, including SAST, DAST, SCA, vulnerability scanners, and Kubernetes security tooling.
Knowledge of DevOps and DevSecOps practices
Knowledge of web application architectures
Knowledge of threat modeling
Strong self-driven learning abilities, staying current with industry trends and technologies
What is Nice to Have:
Offensive Security Certifications such as OSCP, AWAE, OSCE
Relevant certifications and knowledge in cloud such as: AWS, Azure, CISSP, CCSK, Kubernetes (K8s).
Knowledge of security frameworks, regulations, and standards such as HITRUST, HIPAA, and SOC2.
Experience with CTFs and/or bug bounties.

Requirements:
Bachelors degree in Computer Science, Engineering, or a related field, or equivalent experience.
2+ years of professional experience in software development.
Strong understanding of security principles and experience with security technologies (e.g., encryption, hashing, authentication, security protocols).
Experience with secure cloud and on-premise data storage practices, securing data transport (e.g., HTTPS, TLS, VPN) and secure key management practices.
Understanding of secure software development lifecycle (SDLC) practices.
Experience with Git version control.
Experience working in an Agile development environment and familiarity with Agile methodologies.
Excellent problem-solving skills and attention to detail.
Strong communication skills and ability to work collaboratively in a team environment.
Preferred Qualifications:
Proficiency in JavaScript and experience with Node.js, experience with front-end frameworks, particularly Vue.js and familiarity with the Go programming language.
Experience with cloud services such as AWS.
Knowledge of containerization technologies like Docker and Kubernetes.
Familiarity with CI/CD pipelines and DevOps practices.
Experience with database management and design (SQL and NoSQL).
Experience with distributed systems and decentralized applications (dApps, Web3), proficiency in programming languages commonly used for blockchain development (e.g., Solidity, Hyperledger Fabric). Experience in developing smart contracts.
Strong understanding of blockchain technology, including consensus mechanisms, cryptography, and smart contracts. Experience working with private blockchains or other distributed ledger technologies (DLTs).
Knowledge of common security vulnerabilities (e.g., OWASP Top Ten) and mitigation strategies.
Familiarity with compliance standards and regulations (e.g., GDPR, HIPAA, ISO).
Experience with security tools such as static code analysis tools, vulnerability scanners, and penetration testing tools.
Proven experience in implementing secure coding practices and conducting security audits.
Contributions to open-source projects or participation in the tech community.

Requirements:
B.Sc. in Computer Science, Software Engineering, or a related field (or equivalent experience).
10+ years of experience in software development, with a focus on software system architecture.
4+ years of experience leading engineering teams and managing end-to-end project lifecycles.
Strong background in building large-scale, high-performance financial or transactional systems.
Experience with data pipelines, big data infrastructure, microservices architecture, and message bus.
Hands-on experience with Java and Python, and modern cloud technologies.
Ability to collaborate and communicate effectively across engineering, finance, risk, and product stakeholders.
Adaptability to thrive in a fast-paced, dynamic environment.
Solution-oriented mindset with a proactive approach to problem-solving.
Proficiency in written and spoken English.
Advantages:
Working knowledge of Kotlin.
Prior experience in fintech or payment systems.
Familiarity with loan and card performance data products and internal/external reporting use cases.

Requirements:
2+ years of leadership experience, guiding engineering teams and making architectural decisions
8+ years of software engineering experience, with a strong focus on scalable architecture and system design
Proficiency in modern system architecture with large-scale and high performance.
Impact driven - use data to make sure every task moves the needle and utilize your resources to maximize the team's impact.
Team player with strong communication skills and someone who thrives working in a fast-paced environment.
Creative, solution-oriented, and able to maintain a can do attitude, with the ability to work efficiently under pressure and uncertainty. Adapt quickly to changing business needs.
Familiarity with microservices architecture and distributed systems.
B.Sc in computer science or equivalent.
Fluent in English.
Preferred Experience:
Experience with software development in Kotlin or Java.
Experience with Frontend technologies.
Experience with mobile technologies.
Leading a multidisciplinary team.
Familiarity with microservices architecture and distributed systems.
Solid understanding of AWS or similar cloud platforms.
Expertise in the Spring Framework.
Proficient in both relational (e.g., MySQL) and non-relational databases (e.g., MongoDB).
Familiarity with message queue technologies such as Kafka, SQS, RabbitMQ, or similar.

Requirements:
B.Sc in computer science or equivalent.
Experience managing a team (preferably 3+ years) and leading projects hands-on from start to finish (preferably 8+ years, focusing on system architecture).
Proficiency in modern system architecture with large-scale and high performance.
Impact driven - use data to make sure every task moves the needle and utilize your resources to maximize the team's impact.
Team player, with strong communication skills and someone who thrives working in a fast-paced environment.
Creative, solution-oriented, and able to maintain a can do attitude, with the ability to work efficiently under pressure and uncertainty. Adapt quickly to changing business needs.
Passion for data.
Experience with microservices architecture
Fluent in English.
Preferred Experience:
Experience with software development in Python.
Experience with cloud technology.
Experience in managing data specialists (AI/ML engineers, analysts).

Requirements:
Proficiency in modern system architecture with large-scale and high performance.
Strong problem-solving skills, capable of meeting technical challenges head-on.
A passion for learning, constantly staying up to date with industry trends and technology advancements.
Resourceful, self-motivated, and capable of working independently.
B.Sc in computer science or equivalent.
Fluent English
Requirements
7+ years of experience in Software Engineering, focusing on system architecture.
Experience with software development in Kotlin or Java.
Prior experience in a fintech company is highly desirable.
Experience with a microservices architecture
Experience with AWS.
Experience with Spring framework.
Experience in payment processing or other financial services.

Requirements:
7+ years of backend development experience, preferably in Python (but open to strong engineers in other languages).
Deep experience with databases (SQL or NoSQL), queues, and streaming platforms.
Experience working with complex architectures, microservices, and production-scale systems.
Proven ability to work independently and deliver high-quality solutions in fast-paced environments.
Strong understanding of software design principles and engineering best practices.
Fluent in English (working language).
Nice to Have:
Prior experience in a fintech or risk/credit environment.
Experience with ML model integration in production systems.
Hands-on experience with AWS, Docker, Kubernetes, and CI/CD pipelines.
Familiarity with web frameworks (e.g., FastAPI, Flask, Django).
Experience working closely with data scientists or building ML-based systems

Requirements:
Proficiency in modern system architecture with large-scale and high performance.
Strong problem-solving skills, capable of meeting technical challenges head-on.
Proven ability to mentor junior developers, guiding them to reach their full potential.
A passion for learning, constantly staying up to date with industry trends and technology advancements.
Resourceful, self-motivated, and capable of working independently.
B.Sc in computer science or equivalent.
Fluent English
Preferred Experience:
10+ years of experience in Software Engineering, focusing on system architecture.
Experience with software development in Kotlin or Java.
Prior experience in a fintech company is highly desirable.
Experience with a microservices architecture
Experience with AWS.
Experience with Spring framework.
Experience with event streaming systems.
Experience in Data mesh.
Experience in payment processing or other financial services.

Requirements:
5+ years of experience in frontend development.
Strong proficiency with modern JavaScript frameworks such as React, Angular, or Vue.
Deep knowledge of JavaScript, TypeScript, and CSS.
A passion for creating exceptional user experiences and a keen eye for detail.
Strong problem-solving skills and the ability to tackle complex technical challenges.
Resourceful, self-motivated, and capable of working independently in a fast-paced environment.
B.Sc. in Computer Science or equivalent practical experience.
Preferred Experience:
Experience with React Native.
Familiarity with backend development (Node.js, Java, or Kotlin).
Experience with end-to-end testing frameworks like Playwright.
Knowledge of WebSockets.
Prior experience in a fintech company, especially with payment processing or financial services.

Requirements:
3+ years of experience as an MLOps, ML Infrastructure, or Software Engineer in ML-driven environments, preferably with PyTorch.
Strong proficiency in Python, SQL (leveraging platforms like Snowflake and RDS), and distributed computing frameworks (e.g., Dask, Spark) for processing large-scale data in formats like Parquet.
Hands-on experience with feature stores, key-value stores like Redis, MLflow (or similar tools), Kubernetes, Docker, cloud infrastructure (AWS, specifically S3 and EC2), and orchestration tools (Airflow).
Proven ability to build and maintain scalable and version-controlled data pipelines, including real-time streaming with tools like Kafka.
Experience in designing and deploying robust ML serving infrastructures with CI/CD automation.
Familiarity with monitoring tools and practices for ML systems, including drift detection and model performance evaluation.
Nice to Have:
Experience with GPU optimization frameworks and distributed training.
Familiarity with advanced ML deployments, including NLP and embedding models.
Knowledge of data versioning tools (e.g., DVC) and infrastructure-as-code practices.
Prior experience implementing structured A/B testing or dark mode deployments for ML models.

Requirements:
Preferably M.Sc. or an outstanding B.Sc. graduate in a quantitative discipline (e.g., Data Science, Computer Science, Industrial Engineering, or equivalent).
Knowledge of Data Science techniques, algorithms, and processes.
5+ years of hands-on experience in production environments, preferably involving ranking systems, A/B test design, management, and evaluation.
Proficiency in data manipulation, visualization, and machine learning packages (pandas/polars, NumPy, scikit-learn, PyTorch).
Advanced knowledge of SQL.
Excellent analytical and algorithmic skills, with the ability to infer conclusions and creatively offer solutions based on data analysis.
Strong teamwork skills, including experience representing the team in a professional manner in front of senior management.
Effective communication skills, with the ability to explain complex topics clearly in English.
Proven leadership experience, with strong ownership and independence.

Requirements:
3+ years of experience in product design, preferably in a B2B company.
Experience designing complex systems and working with design systems.
Mastery of Figma, prototyping, and other relevant design tools.
Strong visual design skills and an understanding of layout, color, typography, and visual hierarchy.
Excellent communication and collaboration skills with cross-functional teams.
Strong problem-solving abilities and critical/creative thinking.
A strong portfolio demonstrating product thinking, visual design, and problem-solving.
Experience collaborating closely with R&D teams.
Positive attitude, excellent social skills, and a team-oriented mindset.
Advantage: Experience with the Finance Industry.

Requirements:
6+ years of backend engineering experience, ideally with a focus on infrastructure development
Proficiency in Python, with deep knowledge of its ecosystems and best practices
Experience with FastAPI, SQLAlchemy, Alembic and RDS an advantage
Bachelors degree in Computer Science, Engineering, or equivalent experience
Experience in designing, implementing, and maintaining scalable, reliable infrastructure in production environments
Strong understanding of cloud platforms (AWS preferred)
Proficiency with containerization technologies like Docker and Kubernetes
Strong analytical skills with a proven ability to diagnose and resolve complex technical issues swiftly
Ability to conduct research, evaluate new technologies, and integrate them with existing codebases
Excellent communication and collaboration skills, experience working effectively in agile
Highly organized, proactive, and able to manage work independently.

Requirements:
5+ years of hands-on experience in backend development
Bachelors degree in Computer Science, Computer Engineering, or a related field, with preference from top-tier universities
Experience and deep understanding of relational databases (PostgreSQL or equivalent)
Experience designing and implementing APIs
Experience working with micro-services - advantage
Knowledge in testing methodologies
Independent, great interpersonal skills.