לוח משרות דרושים ניהול ביניים עבודה היברידית, לחיפוש זה נמצאו 211 משרות

Requirements:
7+ years of experience in full stack development (with a strong backend orientation)
Proven experience designing and building scalable, distributed systems in production environments
Deep expertise in Node.js and TypeScript
Strong experience with modern frontend frameworks (React) and advanced JavaScript/TypeScript
Solid understanding of system design, APIs (REST/OpenAPI), and microservices architecture
Experience working with both NoSQL and relational databases. Proficiency with MongoDB and/or PostgreSQL is required, including schema design, query optimization, and handling production-scale data.
Hands-on experience with relational and non-relational databases
Experience working with event-driven architectures (e.g., Kafka, queues, pub/sub systems)
Experience with cloud platforms and serverless architectures (e.g., AWS Lambda)
Experience applying AI-powered development tools (e.g., GitHub Copilot, Cursor) to improve productivity. Familiarity with MCPs and AI agents is a must.
Strong problem-solving skills with the ability to operate independently and take initiative
Excellent communication skills and ability to collaborate across teams
Fluent in English
Nice to have:
Experience leading technical projects or mentoring engineers
Experience in high-scale SaaS environments
Familiarity with observability, performance optimization, and CI/CD pipelines

Requirements:
5+ years of product management experience, with ownership of complex, cross-functional product areas.
Proven experience building products in marketplaces, e-commerce, supply-chain-adjacent, or operationally complex domains.
Strong product instincts combined with analytical rigor and comfort working with data.
Demonstrated experience (or strong intuition) for applying generative AI to real-world product problems.
Excellent communication skills in Hebrew and English, with the ability to influence and align diverse stakeholders.
Comfortable operating as a senior IC: setting direction independently, going deep into details, and owning outcomes.
Technical fluency and strong collaboration skills with engineering and data teams.

Requirements:
8+ years in backend engineering, with proven people leadership as a manager or team lead, delivering in fast-paced environments without micromanaging
Strong production experience with web services/APIs on AWS, PostgreSQL, Redis, S3, Kubernetes, and Kafka (including failure handling)
Experience with data pipelines (batch/streaming) and monitoring/observability tools - dashboards, logs, metrics, tracing, alerting, and on-call
An advantage: familiarity with the ML model lifecycle, Python or exposure to Python-based research teams, big data infrastructure, Computer Vision/Deep Learning, or hands-on use of AI coding tools
Ability to inspire, mentor, and grow engineers, with strong self-learning skills in unfamiliar domains
Clear communicator across technical and non-technical partners, balancing company priorities with sustainable delivery and team satisfaction

Requirements:
7+ years of fullstack experience, with a strong backend focus.
Deep expertise in Python, Node.js, TypeScript, and PostgreSQL (or similar relational DBs).
Proven experience in high-scale data systems, including data ingestion, aggregation, and performance tuning.
Advantage - Experience in ClickHouse DB / OpenSearch
Strong understanding of data modeling, denormalization, and API performance optimization.
Familiarity with React and modern frontend frameworks for connecting and visualizing backend data.
Experience with CI/CD pipelines, Kubernetes, Docker, and cloud-native architectures.
Strong collaboration, communication, and problem-solving skills, you love working across disciplines to deliver impact.
Experience in startups or high-growth environments, where speed, ownership, and quality go hand-in-hand.

Requirements:
5+ years of software engineering experience
Strong React, TypeScript, and Python skills
Experience building complex AI agent systems
Familiarity with LangChain, MCP, Tool Calling, and agent orchestration
Experience working with frontier AI models and APIs
Proficient with modern AI development tools such as Cursor, Claude Code, or Codex
Strong product mindset and ability to move quickly

Requirements:
5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure.
Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration.
Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus.
Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs.
Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread.
Proven ability to influence cross-functional stakeholders and drive alignment without formal authority.
Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders.

Requirements:
Minimum of 8 years of experience designing and developing scalable, distributed backend systems in one or more modern programming languages (Python is a plus).
Deep expertise in Python concurrency and execution models (WSGI, ASGI, asyncio, multiprocessing, threading, GIL).
Proven track record building production-ready asynchronous Python applications serving high-volume traffic.
Strong experience with Pydantic and FastAPI in production environments.
Expertise in designing and implementing RESTful APIs and gRPC services with strong emphasis on versioning strategies and backward/forward compatibility.
Demonstrated ability to solve complex performance, scalability, and workload distribution challenges.
Proficiency with relational and non-relational database solutions (PostgreSQL, Redis, DynamoDB, MongoDB), including query optimization and data modeling.
Experience with event-driven architectures and message queuing systems (Kafka, RabbitMQ, AWS SQS).
Hands-on experience with Docker, understanding of CI/CD pipelines and methodologies, and working in Kubernetes/AWS-based deployments.
Strong proficiency with AWS cloud services and cloud-native architectures.
Understanding of observability practices (distributed tracing, metrics, logging) and experience with monitoring tools.

Requirements:
Bachelors degree in computer science, Engineering, or a related field
5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a similar role
Strong hands-on experience with cloud platforms (AWS, GCP, or Azure)
Proficiency with Infrastructure as Code tools (Terraform, CloudFormation)
Experience with configuration management tools
Deep knowledge of CI/CD tools
Strong scripting skills (Bash, Python, or Go)
Proficiency with containers and orchestration (Docker, Kubernetes, Helm)
Solid understanding of networking, security best practices, and Linux system administration
Excellent problem-solving, communication, and collaboration skills
Experience with monitoring and observability tools (Prometheus, Grafana, ELK,)
Exposure to zero-downtime deployments, blue-green deployments, and canary releases
Proficiency with Atlassian tools ( Bitbucket, Jira, Confluence )
Familiarity with code quality analysis tools ( linters, static analysis, etc )
Strong Git skills
Familiarity with AI-assisted development tools ( Github Copilot, Curser, Claude, etc )
Team player, fast self-learning individual, and service-oriented attitude
Education:
Bachelors degree in Computer science, Engineering, or a related field.

Requirements:
Requirements
At least 3 years of experience as a team leader.
At least 8 years of hands-on experience in server-side development.
At least 2 years of hands-on experience with Go lang.
Proven experience in developing large-scale systems using cloud services and NoSQL databases (such as GCP orand AWS, Couchbase).
Experience with microservices architecture, Docker, and container. orchestration (e.g., Kubernetes) & CI/CD.
Experience with Agile methodology.
Ability to quickly understand complex systems and drive solutions.
Fluent in written and spoken English.
Excellent spoken and written communication skills.
Availability to work in a hybrid model - at least 3 days a week from the office.

Advantages
Direct experience with Ad Tech platforms (DSPs, SSPs, Ad Exchanges).
Experience with Vue.js or similar frontend frameworks.
Experience with Java.
Familiarity with observability tools and practices.
Experience working with remote teams.
Advanced knowledge of unit testing frameworks and mocking.
B.Sc. in Computer Science or equivalent.

Requirements:
Requirements
A minimum of 7 years of experience as a Full Stack Developer, with at least 4 years specializing in Node.js
Solid proficiency in JavaScript and TypeScript, with demonstrated experience using TypeScript-first frameworks (such as NestJS, Fastify, or Next.js).
Prior experience with Java.
Proven expertise in developing and scaling enterprise-level production systems within a microservices architecture.
Practical knowledge of at least one major frontend framework, such as React or Angular.
Familiarity with both relational and NoSQL database systems.
Proven experience with REST API design and integration, including the implementation of effective caching strategies.
Hands-on experience with Continuous Integration/Continuous Delivery (CI/CD) pipelines and containerization using Docker.
Experience in developing and executing comprehensive unit and integration tests.
Practical experience working with Agile methodologies in a fast-paced environment.
Strong analytical skills and effective communication abilities, with fluency in written and spoken English.

Advantages
Comprehensive understanding of message queues and event-driven architecture.
Familiarity with essential AWS services, such as SQS, Lambda, and RDS.
Proficiency in utilizing validation libraries like Zod or Yup.
Experience with data-fetching libraries such as React Query or RTK Query.
Experience collaborating within distributed, cross-functional team environments.
A Bachelor of Science degree in Computer Science or a relevant equivalent qualification.

Requirements:
We're not looking for a process operator. We're looking for a commercial product leader who happens to love fintech - operating at the exceeding-the-standard bar from day one:
Ownership & agency. You own outcomes end to end - including the decision to continue, scale, reshape, or stop. You set the decision framework (problem, success, assumptions, tradeoffs, kill-signals) before work starts and keep the team honest against it. You don't wait for someone to tell you how the work will be judged.
Operates in ambiguity. When the problem isn't defined, you make assumptions explicit, pressure-test them fast, and move. A fast, imperfect call beats waiting for perfect analysis - and you know the blast radius.
Judgment & taste. You bring a clear point of view, synthesize inputs into a defensible recommendation, and don't default to the average of what stakeholders said. You can name weak logic and a solution that isn't good enough yet - including in others' work.
Commercial instincts. You think in pricing, margin, take-rate, unit economics, and vendor cost. You can read a P&L and a contract and tell us what's hiding in it.
Show, don't tell. You'd rather put a model, prototype, or one-pager in front of the team than run another meeting.
AI-driven velocity. You build tools, prompts, and workflows that embed your thinking so the team moves without waiting on you. The bottleneck isn't you - that's the point.
Customer obsessed. You're in our members' businesses regularly. You can tell a real pattern from a loud opinion.
High ownership, low ego. You see a fire, you put it out, even if it's not "yours."
Experience:
8+ years of product management experience
Deep domain in payments, fintech, or B2B financial products - you've shipped against Stripe / Adyen / Square / Plaid / a BaaS platform / lending infra.
Track record of building 0-to-1 and scaling live products to find PMF.
Comfortable as the named executive counterpart to vendor and partner leadership.
US ↔ international expansion (UK/EU/AU) in payments.
Experience with regulatory and fraud challenges.

Requirements:
8+ years of product management experience
Proven track record of building 0-to-1 products - from idea to launch to scale
Deep B2C background - you understand consumer behavior, retention, and what it takes to earn a user's habit
Experience working in or alongside high-performing teams where the bar was high and the pace was real
AI-driven, passionate about leveraging AI tools and technologies to build smarter, more efficient user experiences.

Requirements:
3+ years of experience in data analytics roles with expert SQL skills and data visualization tools - Looker, Tableau, PBI, Omni, etc.
2+ years of experience working in the marketing data analytics field.
Proven track record collaborating with teams to leverage data-driven insights to improve performance.
You have a bias towards action; you dont wait for someone to tell you what to do and are comfortable working with ambiguity.
You dont stop once you pull the data; you love turning numbers into actionable insights.
Youre a strong communicator and have an art for communicating complex findings in a simple way.
Your thinking is structured, and you have excellent intuition for numbers and data.
And most importantly, you believe in our mission and know how you will contribute to our success.

Requirements:
10+ years in DevOps, SRE, or Infrastructure Engineering, with a proven track record of scaling systems by an order of magnitude or more - not just operating at a scale someone else built.
Led engineering teams at least twice, and led team managers at least once; at least two of those stints at strong, high-growth technology companies through a scale-up from roughly 50 to 200+ employees.
Deep, hands-on credibility in cloud architecture, Kubernetes, and Infrastructure as Code, across AWS and at least one other major provider (Azure, GCP, or Oracle) - enough to guide and challenge the team's technical decisions directly.
Proven ownership of FinOps / cloud cost strategy at meaningful scale, with a concrete result you can point to.
Direct experience owning security posture and compliance (SOC 2 / ISO 27001 or equivalent) as an infrastructure leader, not just partnering with a security team.
Experience negotiating and managing vendor and infrastructure contracts.
A clear, current point of view on AIOps and using AI to improve the SDLC - and something you've actually built or adopted, not just a talking point.
Combines strategic ownership with hands-on depth - equally comfortable setting a three-year infrastructure roadmap and reviewing the architecture underneath it.
Bonus: high-egress, high-throughput infrastructure (proxy networks, browser farms, crawling/scraping, CDN) or a data/API/usage-based product where infrastructure cost is the gross margin.
Fluent Hebrew and English.

Requirements:
8+ years of backend software engineering experience, including end-to-end ownership of production systems at scale.
Deep expertise in Node.js and TypeScript, with strong software architecture skills for building modular, distributed systems.
Strong cloud and infrastructure experience (AWS, Kubernetes, Docker), including CI/CD, observability, reliability, and production operations.
Experience building and scaling data-intensive systems, including high-throughput data pipelines, distributed APIs, data modeling (SQL & NoSQL), and messaging platforms such as Kafka or Spark.
Experience building developer infrastructure, including internal tooling, test automation, validation frameworks, or agent-facing infrastructure (e.g., MCP servers, AI/LLM tools and APIs).
AI-native engineering mindset, with daily expert use of AI-assisted development tools (Claude Code, Cursor, Copilot, or similar) to significantly improve engineering velocity while maintaining quality.
Technical leadership experience, including mentoring engineers, driving architecture decisions, and raising engineering standards across a team.
Experience working in fast-paced startup or scale-up environments, delivering for customers under short SLAs.