לוח משרות דרושים ניהול ביניים משרה מלאה

Requirements:
You have over 5 years or of experience in DevOps, CI/CD methodologies, tools, and environment. You also own a strong knowledge of agile methodology and continuous integration and delivery.
You are experienced with docker / kubernetes, loud environment development, and IaC technologies. Experienced with Kubernetes environment troubleshooting.
You are well capable of orchestrating tools for automated deployments, solving problems on-the-go with creative and innovative solutions, even if it's the first time you meet them. You are capable of owning complete features/products.
You are passionate about working in a fast-paced, dynamic startup environment, and you enjoy collaborating with others and being part of a strong team.
Programming experience is an advantage.
Preferably, you have a B.Sc. in Computer Science or equivalent.

Requirements:
* 8+ years of experience in software development.
* 1+ year of experience implementing solutions with LLMs at a large scale.
* 1+ year of experience with asynchronous programming in Python.
* Extensive knowledge in system design.
* Background in large-scale data processing.
* AI Native - AI tools
* BSc. in CS, engineering, or equivalent. At our company, were not about checklists. If you dont meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you.

Requirements:
Requirements:
* Solid experience working with AWS services such as Lambda, API Gateway, S3, SNS, SQS.
* Deep understanding and hands-on experience with SQL databases (e.g., PostgreSQL, MySQL, SQL servergreenTxtBg!) and NoSQL databases (e.g., MongoDB, DynamoDB), including schema design and optimization.
* Experience designing and implementing scalable backend architectures.
* Ability to take full ownership of features and systems, from idea to production.
* Strong communication skills, proactive mindset, and team-oriented approach. Passion for innovation and continuous improvement. 3+ years of proven experience in backend development, with expertise in.NET Core or Python (both is a plus).

Requirements:
* Proven hands-on experience developing backend systems in production environments.
* Strong understanding of cloud-native architecture; experience with AWS.
* Practical experience designing and working with microservices architecture.
* Proficiency in SQL and NoSQL databases.
* Experienced in building dynamic, client-facing web applications.
* Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.

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:
Experience: At least 4 years of experience as a Product Manager in B2B web products.
The "UX" Edge: A strong portfolio of building products where usability and adoption were the primary success metrics (a "B2C" approach to B2B tools).
Technical Foundation: BSc in Computer Science, Industrial Engineering, System Engineering, or equivalent technical experience.
Analytical Depth: Strategic thinking combined with a data-driven approach to solving user problems.
Hands-on Mindset: A "get-it-done" attitude-you are comfortable navigating complex data but obsessed with simplifying it for the end user.
Stakeholder Management: The ability to collaborate with the Sales Ops product team to ensure data consistency while maintaining a distinct, user-focused experience.

Requirements:
5+ years as a Product Manager building B2B SaaS or web products, with ownership of roadmap and outcomes.
Hands-on leadership across engineering, data science, and design through discovery, delivery, and iteration.
Entrepreneurial, proactive, and effective in ambiguity, moving quickly from insight to execution.
Comfortable in technical, data-heavy environments: collaborate on APIs, pipelines, data quality, and edge cases.
AI fluency: understand how to embed AI into products and internal workflows (Prototyping, Agentic products, evaluation etc.).
Excellent communication and stakeholder alignment across product, sales, and marketing.
Strong data-driven judgment: define metrics, analyze product/customer data, run experiments, and make clear tradeoffs.
High learning agility, adaptable in a fast-changing data and AI landscape.
Education: BSc in Computer Science, Industrial Engineering, Systems Engineering, or equivalent practical experience.

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)

Requirements:
* 3+ years of software development experience – must
* Proven Fullstack experience – must
* Strong experience with React must
* Backend experience with Python or Java must
* Experience with large?scale production systems – must
* Strong ability to use AI tools at an advanced level – must

Requirements:
3-4 years of managerial experience, leading small-medium engineering teams - Must
7+ years of experience building production-grade backend systems, with deep expertise in TypeScript and Node.js - Must
Strong track record designing and evolving distributed, event-driven architectures (microservices, asynchronous systems, serverless where appropriate) - Must
Experience building cloud-native systems on AWS, with a strong understanding of tradeoffs in scalability, reliability, and cost - Must
Hands-on experience using Kafka in real production environments, with strong understanding of internals (partitioning, ordering, consumer groups, delivery semantics, scaling, failure modes) - Must
Practical experience with Docker-based workflows and modern containerized development practices - Must
Familiarity with Kubernetes (including EKS) and/or ECS, and understanding how services behave when deployed and scaled in container orchestration environments - Must
Strong experience working with both NoSQL (MongoDB) and relational databases (Postgres), with clear understanding of data modeling and tradeoffs - Must
B.Sc. in Computer Science or equivalent experience
(AI-driven engineering practices)
Experience using AI-assisted development tools (ChatGPT, Claude, GitHub Copilot, Cursor, etc.) as part of daily engineering workflows - Must
Experience leveraging LLMs to improve productivity in coding, design exploration, technical writing, and analysis - Must
Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and having built small tools or integrations using them
Ability to critically assess AI-generated output and apply strong engineering judgment
Interest in emerging AI tooling and how it can enhance, not replace, strong software engineering practices.

Requirements:
7+ years of experience building production-grade backend systems, with deep expertise in TypeScript and Node.js - Must
Strong track record designing and evolving distributed, event-driven architectures (microservices, asynchronous systems, serverless where appropriate) - Must
Experience building cloud-native systems on AWS, with a strong understanding of tradeoffs in scalability, reliability, and cost - Must
Hands-on experience using Kafka in real production environments, with strong understanding of internals (partitioning, ordering, consumer groups, delivery semantics, scaling, failure modes) - Must
Practical experience with Docker-based workflows and modern containerized development practices - Must
Familiarity with Kubernetes (including EKS) and/or ECS, and understanding how services behave when deployed and scaled in container orchestration environments - Must
Strong experience working with both NoSQL (MongoDB) and relational databases (Postgres), with clear understanding of data modeling and tradeoffs - Must
B.Sc. in Computer Science or equivalent experience
(AI-driven engineering practices)
Experience using AI-assisted development tools (ChatGPT, Claude, GitHub Copilot, Cursor, etc.) as part of daily engineering workflows - Must
Experience leveraging LLMs to improve productivity in coding, design exploration, technical writing, and analysis - Must
Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and having built small tools or integrations using them
Ability to critically assess AI-generated output and apply strong engineering judgment
Interest in emerging AI tooling and how it can enhance, not replace, strong software engineering practices.

Requirements:
4+ years of hands-on experience in fraud analytics, data science, or risk modeling - Must
Proven experience in the Fintech/Fraud Prevention Domain - Must
Proven ability to take projects from A to Z in building data infrastructure, anomaly detection, and graph-based fraud detection solutions - Must
Strong practical proficiency in Python, SQL, MLOps and fraud-related data tools - Must
Strong background in e-commerce or payments - Advantage
A self-starter mentality - someone who identifies opportunities, takes initiative, and drives improvements with minimal direction.

Requirements:
5+ years of professional experience in frontend development
Strong expertise in React (including hooks, context, advanced component patterns)
Deep knowledge of TypeScript and experience migrating from JavaScript
Solid experience with state management (Redux, React Query, or equivalent)
Experience writing tests with frameworks like Jest, React Testing Library, or Cypress
Strong understanding of performance optimization, accessibility (a11y), and secure frontend practices
Excellent collaboration and communication skills
Nice-to-Haves
Experience with build tools and bundlers (Webpack, Vite, Babel)
Familiarity with component libraries/design systems (Storybook, Material UI, Tailwind)
Knowledge of server-side rendering (Next.js) or micro-frontend architecture
Exposure to monitoring tools (Sentry, Datadog RUM)
Open-source contributions or prior mentorship experience.

Requirements:
5+ years of B2B Product Management experience, ideally within SaaS, data platforms, CDPs, or infrastructure products.
Strong technical background-comfortable working with engineering on topics such as event streaming, real-time processing, distributed systems, data pipelines, and APIs.
Demonstrated success building complex backend or platform-level products, not just user-facing features.
Exceptional Product Discovery skills and the ability to turn ambiguous problems into structured, validated product directions.
Experience collaborating with senior engineering stakeholders and contributing to high-level architectural decisions.
A passion for system-level thinking, scalability, and reliability.
Self-driven, curious, and highly motivated to solve deep customer and platform challenges.

Requirements:
* 2+ years of analytical work experience, preferably for a web or mobile company, or in the online gaming industry
* Strong SQL skills with proven experience querying large and complex data sets – must have.
* Experience with BI visualization tools such as Tableau – must have.
* Working with very large and complex data sets.
* High attention to detail.
* Excellent teamwork skills and the ability to work independently.
* Ability to translate complex data into actionable insights and clear business recommendations.
* Bachelor’s degree in Engineering, Math, Science, Economics or related field. #LI-Onsite