לוח משרות דרושים ניהול ביניים, לחיפוש זה נמצאו 1,123 משרות

Requirements:
5+ years of backend development experience
Strong proficiency in High-Level language
Hands-on experience with Kubernetes (K8s)
Experience with databases (SQL or NoSQL)
Experience with queue brokers (e.g., RabbitMQ, Kafka, SQS, etc.)
Experience working with distributed systems or microservices architectures
Solid understanding of REST API design principles
Highly versatile and adaptive engineer (ninja mindset) able to multitask, switch context smoothly, and quickly master new technologies.
Proactive and goal-driven, who takes ownership, drives initiatives, and ensures project completion.
Strong coordination abilities, capable of distributing tasks within a team and guiding execution.
Effective mentor, supporting growth and onboarding of junior engineers.
Independent and self-sufficient, while also an excellent team collaborator.
Experienced with multiple architectures, capable of evaluating system design choices and forming informed technical opinions.
Confident communicator, able to influence direction and express technical viewpoints while also knowing when compromise is appropriate.
Advantages
Familiarity with asyncio
Understanding of networking concepts and network protocols
Experience with JavaScript
Experience with FFmpeg
Experience with CI/CD processes
Familiarity with the cyber world
Experience with MongoDB

Requirements:
A strong technical background, with 7 years of professional, hands-on experience building production-grade applications or systems.
Experience in building end-to-end complex large-scale applications.
Solid fundamentals in data models/structures, algorithms, and object-oriented programming, and knowledge of development best practices.
Strong attention to detail and empathy for the user experience.
Someone who enjoys learning, is self-motivated and has the ability to switch domains as the needs of the company evolve.
Excellent communication skills.
Excellent problem-solving and critical-thinking skills.
Experience with Docker and AWS is a plus.
Fluency with Javascript & TypeScript is a plus.

Requirements:
3+ years of hands-on experience working with AI - building AI-powered solutions, agents, automations, or AI-driven workflows in a professional setting.
3+ years in roles requiring both technical depth and business acumen - such as solution architecture, systems design, technical consulting, product, operations, CS Ops, customer operations, or technology-driven business transformation.
Strong understanding of Customer Success, support operations, customer operations, or post-sale customer journeys.
Ability to translate business problems into practical AI solutions that are adopted by real users.
Strong technical and architectural thinking, including workflow design, integrations, prompt logic, agent behavior, automation, and scalable systems.
Understanding of AI solution design, including prompt engineering, context engineering, agent design, orchestration, workflow automation, integrations, and runtime behavior.
Experience working with operational systems such as Zendesk, Slack, Notion, CRM, knowledge bases, data tools, workflow automation platforms, or similar tools.
Strong execution mindset, with the ability to move from problem definition to prototype, rollout, measurement, and continuous improvement.
Excellent communication and stakeholder management skills, including the ability to present to leaders, facilitate workshops, coach teams, and translate technical concepts into business language.
Strong analytical skills, with the ability to define KPIs, identify patterns, measure impact, and improve performance over time.
High adaptability, curiosity, and comfort working in ambiguity as AI tools and business needs evolve.
Technical education or equivalent practical experience in Computer Science, Information Systems, Industrial Engineering, Data, Operations, or a related field.

Requirements:
10+ years of strong back-end capabilities - engineering leadership while working on a cloud-based, microservice architecture
Proven engineering leadership in designing backend solutions across distributed services.
Demonstrated experience driving change within an organization and leading complex technical projects
Experience with web technologies, and familiarity with scale, latency, and security concerns.
Expertise in high-scale, distributed cloud architectures
Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
Experience building large-scale infrastructure applications or similar experience
Profound experience working with databases
Cloud experience (AWS is a plus)
Solid programming experience in Ruby
Advantage: Strong knowledge of authentication, authorization, and permission models
Advantage: Strong knowledge in GO
Experience working with Generative AI technologies (GPT, Copilot, Cursor) is a plus

Requirements:
Experience: 8-10+ years in FinOps, Finance Systems, or Business Operations in SaaS or tech; at least 2-3 years leading cross-functional programs.
Systems: Strong understanding of CPQ, CRM, ERP, billing, and analytics platforms, with advanced data and Excel skills.
Finance depth: Deep expertise in quote-to-cash, revenue recognition (ASC 606), billing, collections, GL/close, and financial compliance.
Execution: Proven record shipping multi-quarter roadmaps on time with measurable results.
Communication: Clear writer and presenter; comfortable with execs and with deep-dive working sessions.
Documentation: Crafts precise requirements, workflows, data contracts, and UAT scripts.
Collaboration: Strong partner to MIS/BI/PMO/Engineering; can mediate priorities and drive alignment.
Detail + judgment: High accuracy, pragmatic about risk, and decisive under ambiguity.
Nice to have..
Prior FinOps leadership in a high-growth, multi-entity SaaS environment
Experience with SOX readiness/operations
Familiarity with CPQ and payments/reconciliation at scale
Exposure to M&A systems integration and data migration

Requirements:
Proven experience designing, building, and operating large-scale data infrastructure in production environments.
Strong engineering fundamentals in databases, distributed systems, concurrency, storage, and reliability.
Strong knowledge of analytical engines, columnar databases, and data warehouse/lakehouse architectures.
Experience with data orchestration tools and distributed storage solutions.
Understanding of data security, privacy, governance, lineage, auditability, and access control.
Ability to make pragmatic architecture decisions, balance maitenance-vs-delivery tradeoffs, and optimize for scalability, reliability, simplicity, and cost.
Proven ability to lead a team, mentor engineers, communicate clearly, and work effectively with cross-functional stakeholders.
Experience building infrastructure for data pipelines, orchestration, streaming, analytical workloads, and large-scale data processing.
Experience with observability, monitoring, alerting, incident management, SLOs, and production operations for data systems.
Strong understanding of AI-ready data platforms, including metadata, semantic layers, retrieval patterns, data quality, governance, and permission-aware access to data.
Expertise with relational databases; PostgreSQL experience is a plus.
Hands-on experience with streaming systems such as Apache Kafka or equivalent technologies.
Bonus Skills
Experience with cloud-based data infrastructure solutions, such as AWS or GCP.
Familiarity with Kubernetes.
Experience with modern lakehouse technologies, open table formats, metadata catalogs, or data governance platforms.
Experience supporting AI, ML, LLM, semantic search, or agentic product use cases on top of production data.
Experience building multi-tenant SaaS infrastructure, especially with sensitive or permission-heavy data.
Experience with cost optimization and FinOps practices for data platforms.
Experience creating internal developer platforms, self-service data tooling, or paved-road infrastructure for engineering teams.

Requirements:
5+ years of experience designing SaaS products
Proven experience designing complex systems, including data-heavy interfaces and multi-step workflows
Strong ability to think systemically and understand cross-product dependencies
Experience taking features end-to-end, from research and exploration to final execution
A proactive, independent mindset with the ability to navigate ambiguity and drive solutions forward
Strong communication skills, with the ability to clearly explain design decisions and trade-offs
Experience working with multiple teams and stakeholders
Familiarity with HRIS or HR-related domains - a strong advantage!

Requirements:
5+ years of product management experience, preferably in B2B SaaS.
Proven experience owning complex product domains and delivering customer-facing impact from strategy to execution.
Strong product intuition and user empathy, with a passion for building intuitive, high-quality product experiences.
Strong analytical and strategic thinking, with the ability to connect product decisions to adoption, retention, expansion, operational efficiency, and customer value.
Experience working on products with complex data models, workflows, configuration, compliance, integrations, or enterprise-grade scale.
Strong systems thinking and the ability to connect workflows, data, and user needs across multiple domains and products.
Excellent cross-functional leadership skills, with the ability to align R&D, Design, Product Marketing, GTM, CS, Support, and senior stakeholders.
Strong execution skills, including the ability to manage ambiguity, make tradeoffs, sequence work, and deliver outcomes in a fast-paced environment.
Exceptional communication and storytelling skills, with the ability to explain complex product decisions clearly to different audiences.
Strong ownership mindset, proactive problem-solving approach, and ability to influence without authority.
Advanced professional proficiency in Hebrew and English is a must.

Requirements:
6+ years of experience as a software engineer with a strong emphasis on backend development.
Excellent knowledge of software design, clean architecture, and scalable distributed systems.
Proven experience in leading end-to-end feature development - from design through implementation, testing, and deployment.
Solid experience with testing methodologies (unit testing, TDD, mocking, etc.).
Proficiency with relational databases (PostgreSQL, MySQL, etc.).
Experience with LLMs in production is a strong advantage.
Experience with cloud platforms (AWS or equivalent) is a plus.
Independent, fast learner, and passionate about exploring new technologies.
Proactive team player with a desire to impact our team, our product, and our customers.

Requirements:
* 3+ years of hands-on software development experience.
* Proficiency in C++.
* B.Sc. in Computer Science, Software Engineering, or equivalent practical experience.
* Solid understanding of data structures, algorithms, object-oriented design, and software engineering principles.
* Experience developing backend systems for production environments.
* Strong debugging, analytical, and problem-solving skills. Preferred Qualifications:
* Experience with storage systems, distributed systems, or infrastructure software.
* Familiarity with storage concepts such as metadata management, caching, replication, and consistency models.
* Experience with databases and persistence technologies (e.g., RocksDB).
* Experience with IPC, Linux system programming, and highly concurrent systems.
* Experience profiling and optimizing CPU, memory, storage, and I/O performance.
* Understanding of scalability, fault tolerance, high availability, and clustered architectures.
?About Infinidat Infinidat’s enterprise storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidat’s acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI storage solutions! Not only did Infinidat win over 40 awards in 2025 , but was named a Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage for the 7th time!

Requirements:
10+ years of Product Management experience in hardwarecentric products
High educational degree required - BSc mandatory; MSc in EE, CE, or related field is a strong advantage
Deep understanding of hardware and system architecture (servers, networking, accelerators)
Strong knowledge of networking technologies, standards, and performance
Proven ability to lead and influence crossfunctional teams without direct authority
Excellent communication skills across engineering, executives, customers, and partners
Background in security appliances, networking, servers, or datacenter platforms - strong advantage.

Requirements:
6+ years of hands-on experience developing modern web applications.
Deep expertise in React.js and the surrounding ecosystem.
Proven experience designing or leading microfrontend architectures in production.
Hands-on experience with Storybook or similar tools for UI component documentation and design systems.
Strong understanding of frontend security principles (XSS prevention, CORS, JWT, CSP, etc.).
Excellent communication and leadership skills with the ability to drive alignment in a fast-paced environment.
BSc in Computer Science, Software Engineering, or equivalent.
Fluent English (written & spoken).

Requirements:
What You'll Need
3+ years building production web applications with modern frameworks
Strong understanding of component-based frontend architecture
Experience with RESTful APIs and database design principles
Proficiency in a statically-typed language (TypeScript, Go, Java, etc.)
Knowledge of testing strategies (unit, integration, e2e)
Understanding of containerization and deployment pipelines
Experience with message queues and event-driven architectures
Primary Stack Components
React (TypeScript)
NestJS (TypeScript)
MongoDB and Postgres
RabbitMQ
Kubernetes.

Requirements:
Minimum qualifications:
Bachelor's degree in Electrical Engineering, related fields, or equivalent practical experience.
8 years of experience in hardware engineering, with a focus on authoring technical specifications, reviewing electrical layouts, and driving verification of semiconductor tests or validation platforms.
Experience driving deliverables and managing quality standards with external layout vendors, board design houses, or hardware component suppliers across multiple global geographies.
Experience working within specialized semiconductor reliability or test laboratories including configuring component Burn-In ovens, high-power stress load boards, ESD simulators, and Latch-Up test setups.
Experience managing engineering hardware delivery schedules, tracking cross-functional milestones, and meeting New Product Introduction (NPI) timelines.
Preferred qualifications:
Master's degree in Electrical Engineering, Materials Science, or related fields.
Experience managing the design execution cycle of complex multi-layer test vehicles through third-party design houses or layout vendors from concept sign-off to laboratory delivery.
Experience defining and verifying electrical correlation baselines between environmental stress setups and High-Volume Manufacturing (HVM) ATE environments.
Deep familiarity with JEDEC silicon qualification hardware standards and how they dictate physical board testing constraints.
Strong background analyzing the quality of stress factors, including power distribution networks (PDN), signal integrity degradation across extended thermal loops, and transient load behavior during reliability cycles.

Requirements:
5+ years of experience in cloud infrastructure engineering, with at least 3 years focused on cloud financial management/FinOps
Deep understanding of major cloud platforms (AWS, Azure, GCP) and their pricing models
Experience using FinOps tools
Strong skills in data analysis and visualization tools
Proficiency with infrastructure as code
Experience with cost allocation methodologies and chargeback models
Solid understanding of financial concepts as they apply to technology investments
Excellent communication skills with the ability to effectively communicate complex technical and financial concepts to diverse audiences
FinOps Foundation certification preferred (FinOps Certified Practitioner)
Technical Skills
Cloud Platforms: AWS, Azure, GCP (certification in at least one platform preferred)
Experience with AI/ML for FinOps (cost optimization, anomaly detection, forecasting)
Programming/Scripting: Python, Bash, PowerShell
Data analysis and visualization tools: PowerBI
Infrastructure as Code: Terraform, CloudFormation
Containerization and Orchestration: Docker, Kubernetes, ECS
CI/CD: GitHub Actions, Jenkins, GitLab CI
Database Systems: Experience with SQL and NoSQL databases.