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Requirements:
b.sc. in Computer Science, engineering, or a related field, or equivalent experience in practice.
proven experience in software development.
5+ years of strong hands-on experience on Linux -based platforms.
proficient scripting and automation skills (bash, Python, ansible).
experience with version control systems (git) and ci/cd pipelines.
independent, fast learner with a strong sense of ownership, excellent debugging and problem-solving skills, and effective communication abilities.
ways to stand out from the crowd:
background in DevOps methodologies and network engineering practices.
solid understanding of networking concepts, protocols, and technologies.
experience with agentic ai development.
hands-on experience with large-scale network architectures, switches/routers, ovs, sr-iov, and network operating/management systems.
networking expertise: ethernet, vlans, tcp/udp/ip, qos, l2/l3 protocols, bgp, evpn/vxlan, and common network topologies.

Requirements:
At least 6 years of production software engineering experience, primarily in backend systems, including meaningful ownership of data-intensive platforms or infrastructure.
Strong proficiency in Python, Java, and SQL, with experience in testing, typing, performance optimization, and production debugging.
Strong backend engineering fundamentals, including service and API design, asynchronous and concurrent processing, failure handling, and operational reliability.
Experience with relational and non-relational databases such as PostgreSQL, Redis, or MongoDB.
Hands-on experience with AWS, Docker, Kubernetes, CI/CD, and production observability.
Deep experience designing and operating ETL/ELT pipelines and batch or streaming data systems.
Hands-on production experience with Apache Flink for distributed stream processing.
Hands-on production experience building reactive data-processing pipelines with RxJava/Project Reactor, including backpressure, scheduling, error handling, testing, and operational debugging.
Experience with event-driven architectures and messaging systems such as Kafka or AWS SQS.
Strong understanding of data modeling, warehouse and lakehouse architecture, schema evolution, and data quality.
Hands-on experience with dbt for data modeling, testing, documentation, lineage, and semantic-layer development.
Hands-on experience with at least one analytical data platform such as Snowflake, Databricks, ClickHouse, Athena, Trino, or Dremio.
Hands-on experience with at least one dataframe library: Pandas, Polars, or Daft.
Experience with workflow orchestration tools such as Airflow or Dagster.
Clear communication skills and a strong ownership mindset, with a track record of leading cross-functional technical initiatives through to production.

Requirements:
What you'll own Build a qualified pipeline through outbound prospecting and timely inbound follow-up. Research target accounts and stakeholders to create relevant, thoughtful outreach. Run early discovery conversations, uncover business context, and qualify opportunities. Maintain clear CRM records and hand off sales-ready opportunities to the Sales team. Use activity, meeting, and pipeline data to improve your outreach and consistently progress toward targets.
What will help you succeed At least one year of relevant experience as a BDR, SDR, or in outbound B2B sales, with a track record of meeting sales or qualified-meeting targets. Strong spoken and written English, with the ability to sell and build rapport with prospects across the U.S., Europe, and Israel. A high level of ownership, independence, and comfort working in a fast-paced, high-expectation environment. Availability to work in our Tel Aviv hybrid model: from home on Wednesdays and Fridays, and from the office on the remaining workdays. It’s a plus if Experience with Salesforce or a comparable CRM and sales-engagement tools. Experience selling to DevOps, cloud, or other technical audiences. Strong discovery, listening, research, and follow-up skills in a high-activity environment. Why this role matters Own a business-critical pipeline-generation motion with direct visibility and impact. You will build deep B2B sales expertise while working closely with Sales leadership and introducing a technical cloud solution to engineering and cloud leaders. It is an opportunity to grow through meaningful responsibility in a team that values initiative and learning. A note on how we work We move fast, take ownership, and solve hard problems together. We value direct feedback, different perspectives, and the humility to keep learning as one team.

Requirements:
4+ years of professional backend development experience.
Strong proficiency in at least one backend language (Go, Java/Scala, Node.js or similar).
Experience with distributed systems and microservice architecture.
Solid understanding of database technologies and optimization techniques.
Experience with containerization and orchestration tools (Kubernetes, Docker, or similar).
Ability to write clean, maintainable, well-tested code, with strong problem-solving skills and attention to detail.
Technical curiosity - you want to know how things work, not just that they work.
Strong communication skills and a collaborative approach to working with a team.
An advantage
Familiarity with cloud platforms (AWS, GCP, or Azure).

Requirements:
An inspiring engineering leader who is passionate about building exceptional teams and empowering people to grow.
7+ years of software engineering experience, including several years leading engineering organizations in high-growth SaaS or cloud infrastructure companies.
Proven experience managing multiple engineering teams and developing engineering managers.
Strong technical background in distributed systems, cloud-native technologies, Kubernetes, and containerized environments, with the ability to engage deeply in technical discussions.
Experience scaling engineering organizations, processes, and product delivery through periods of rapid growth.
A track record of partnering effectively with Product and Executive leadership to deliver business impact.
A degree in Computer Science from a leading academic institution or equivalent experience, including service in an elite technological IDF unit.
A collaborative, ownership-driven leader who sets a high bar for execution while fostering a positive, high-performance engineering culture.

Requirements:
תנאי סף:
5+ years of experience as a software engineer ( backend / Full Stack / infrastructure) building production systems at significant scale
hands-on end to end experience: databases, apis, backend services, plus at least one additional layer ( frontend / mobile / data / DevOps)
proven experience using ai tools in your development workflow e.g. code assistance, TEST generation, architecture sketching, or automation of development tasks
strong proficiency in at least one of the following: JAVA, Python, or Node.js
solid understanding of modern architecture principles: microservices, distributed systems, rest/graphql, messaging, caching, and security fundamentals
experience with ci/cd pipelines, monitoring tools (logging, metrics, tracing), and production debugging
demonstrated ability to take full ownership from feature definition through stable delivery to customers
כישורים נדרשים:
significant experience working with llms or ai services, including integration into existing systems
experience in prompt engineering, building orchestrations / agents / workflows on top of large models
background in high scale system or business critical systems
experience designing end to end solutions that include UX considerations
experience in DevOps / sre / platform engineering infrastructure, cloud, observability, cost optimization
experience working in guilds / chapters methodology or similar cross cutting expertise models

Requirements:
7+ years of software engineering experience, with at least 3 years focused on AI/ML in production environments
Hands-on experience with both Dev (backend services, APIs, microservices) and DevOps (CI/CD, infrastructure, observability, cloud operations)
Proven experience building or integrating AI/ML solutions in cloud-native, distributed systems (AWS preferred)
Strong understanding of observability concepts: metrics, logs, traces, alerting, anomaly detection T
Experience driving technical initiatives across multiple teams without direct authority
Excellent communication skills - ability to translate complex AI concepts for non-AI engineers and push for outcomes in a multi-stakeholder environment
These would also be nice:
Experience with LLMs, RAG pipelines, or AI agents applied to engineering operations (AIOps)
Familiarity with Kubernetes, Grafana, or similar operational tooling
Background in media tech, video streaming, or telecom platforms
Experience with Databricks, MLflow, or similar ML platform tooling
Track record of introducing AI tooling that improved team velocity or system reliability at scale.

Requirements:
4+ years of experience building the server-side of enterprise-level systems (high-performance, highly available, and scalable systems) preferably in Nodejs.

Hands-on experience with SQL & NoSQL databases such as Postgres/MySQL, Aerospike, Mongo, DynamoDB, Redis.

Good understanding of modern Stream Processing and Event Sourcing paradigms.

Experience in designing and implementation of highly scalable & distributed web applications.

Knowledge & experience with public cloud providers like AWS, Azure, Google.

Experience working with AI agents and agentic coding concepts.

Requirements:
5+ years of front-end development experience.
Extensive experience working with ReactJS & TypeScript.
(Nice to have) Working experience with Figma.
(Nice to have) Experience developing products at an early-stage startup.
Enjoys taking ownership and collaborating with others to build a world-class product.
Easygoing and a team player.

Requirements:
Minimum 1 year of hands-on experience in Frontend development
Experience with Vue 2 / Vue 3
Proficiency in Options API and Composition API
Experience with Vuex, Vue Router, and Pinia
Deep familiarity with HTML5, CSS3, SCSS, and JavaScript (ES6+)
Experience with Docker in a development environment
Familiarity with Kubernetes for container management
Proficiency in TypeScript
Experience integrating with REST APIs, WebSockets, gRPC, and RabbitMQ
Experience with build tools such as Vite / Webpack
Additional Notes
Experience with Vuetify and writing reactive components
Experience with testing frameworks such as Vitest / Jest
Familiarity with CI/CD pipelines
Background in defense systems or regulated work environments.

Requirements:
An MSc degree in electrical engineering and honored student, with more than a year left until graduation.
Good understanding and experience with Machine Learning and Data Engineering.
Multi-disciplinary knowledge (mechanics, electronics, RF, software, hardware).
Ability to work independently and as part of a team.
Strong analytical and problem-solving skills.
Able to work on Python right away.
Highly motivated - can do approach.
Independent research skills.
Preferred Skills:
Experienced with Agentic RAG systems and LLMs.
Experience with CI/CD pipelines Git (DevOps) and Software QA.
Solid knowledge in RF and Satellite Communication.
Familiar with lab equipment (e.g., fluke, oscilloscope, Spectrum Analyzer).

Requirements:
Required Qualifications
5+ years of experience in product management, with at least 2 years working on SaaS products.
3+ years of experience working in the application security and/or cloud security vendor space.
Bachelor's or Master's degree in Computer Science, or another relevant engineering or technical field.
A proven track record of delivering customer acquisition growth and optimizing key product metrics throughout the product lifecycle.
Preferred Qualifications
A strong desire to take ownership of new technology products and a drive to design new, innovative, and disruptive solutions.
Inherent passion for cybersecurity and a problem-solving mindset that aligns with challenging the status quo.
Articulate and effective communication skills, both in writing and verbally, with the ability to convey complex ideas to diverse audiences.
Demonstrates a collaborative, 'can-do' approach and works well within a team to achieve shared objectives.