לוח משרות דרושים הייטק

Requirements:
2 years of experience as a data Analyst in a SaaS company.
Hands-on experience with data platforms.
Strong proficiency in SQL and Excel.
Experience working with data visualization tools such as Power BI, Tableau, or Looker required.
Experience developing monitoring methods and analytical models an advantage.
Strong analytical thinking, accuracy, and business-oriented mindset.
Excellent communication and presentation skills.

Requirements:
• BSc in Computer or Software/ Electrical/Aerospace/Mechanical/ Engineering is a threshold requirement. (Bachelors in physics/Math/Computer Science with relevant experience will also be considered.) • Proven experience in system requirements specification and design document preparation- a must. • Familiarity with multidisciplinary systems- a must. • At least two years of hands-on experience in research and development roles (or similar academic experience). • At least two years as Systems Engineer/Technical Manager/Technical Product Manager in a technology company. • Strong MS Office (including MS Project) Skills. • Strong Presenting and Leadership abilities.

Requirements:
* 5+ years of professional software development experience.
* Desire to work in Python.
* Bachelor’s degree in computer science, Engineering, Physics, or related field. Hands-on hardware experience : Proven track record working with lab equipment and hardware interfaces. End-to-end project ownership : Demonstrated ability to take projects from concept to completion independently. Adaptability : Strong track record of quickly learning new technologies, tools, and processes. Fast-paced environment experience : Thrives in rapid development cycles with changing requirements and tight deadlines.
* Willingness to work primarily from office location (Rosh Ha'Ayin). Not a must but will be highly Valued: Lidar or optical sensor experience : Background with sensor calibration, characterization, or testing. Physics/optics knowledge : Understanding of optical principles, sensor physics, or photonics. Mechanical engineering background : Experience in bridging software and hardware systems. Production environment experience : Background in manufacturing, quality assurance, or automated testing.

Requirements:
Mandatory Qualifications
* At least 3 years of experience as a Security Engineer/DevSecOps
* Understanding of the Shared Responsibility Model
* In-depth knowledge of securing at least one cloud platform: AWS / Azure / GCP
* Understanding of Landing Zone and Well-Architected Best Practices
* Expertise in IAM (Identity and Access Management) network security (VPC, SG, FW).
* Experience in writing cloud policies (e.g., SCP Monitoring and logging (CloudTrail, GuardDuty, Security Hub).
* Strong understanding of general information security: security principles, encryption, risk management, incident response
* Scripting languages: Python / Bash / PowerShell
* Experience in configuring WAF Infrastructure as Code (IaC): Terraform / CloudFormation Preferred Qualifications:
* Experience in Kubernetes and container security Data security (encryption, KMS ), securing cloud services (e.g., EC2, Lambda, Containers
* Relevant certifications: AWS Certified Security – Specialty, Azure Security Engineer, CCSP (strong advantage).
* Familiarity with DevSecOps and code security tools (SAST/DAST)
* Experience with CSPM tools (e.g., Wiz, Orca Security, Prisma Cloud).
* Familiarity with SIEM tools (Splunk, Sentinel) and investigation capabilities.
* Experience securing Microsoft 365 services and Google Workspace
* Understanding of regulations and standards (GDPR, ISO 27001). Personal Skills Hands-on approach. Strong interpersonal communication skills and teamwork capabilities. High-level English proficiency.

Requirements:
At least 4 years experience as a data/ business analyst (B2B SaaS experience is a significant advantage).
A bachelors degree in a quantitative field (advantage)
SQL proficiency - a must; Python- a plus
Experience with analytics and visualization tools (Tableau - an advantage).
An in-depth understanding of the B2B sales landscape & digital data industry - an advantage
Strong problem-solving skills and ability to think strategically.
Proficiency in working with complex data schemas.
Can use their analytical skills to drive business impact.
Ability to interact comfortably with colleagues, especially around data-related topics.
Excellent communication and presentation skills.
Proficiency in English.
Positive, team-oriented, and can-do attitude.

Requirements:
Experienced (8+ years engineering) with cloud-native, high throughput & low latency systems using messaging frameworks like Kafka, RabbitMQ, SQS, Google PubSub, etc.) and proven solid background in either C#/Go/Java/C++/Python
Independent, self-learner, and with a passion for continuous learning
Problem-solving mindset with a genuine interest in resolving customer issues and technical challenges
have vast experience with Docker, Kubernetes, serverless techs
Interested in ML-driven services and NoSQL databases (e.g. Couchbase) and DataWarehouses (e.g. Google BigQuery)
have bachelors degree in Computer Science (or equivalent) or relevant military background

Requirements:
Has strong analytical skills
Is comfortable with BI/analytics tools (Looker, Tableau, Amplitude, etc.) and SQL
Understands SaaS metrics (ARR, retention, funnels, activation, conversion etc) - a plus.
Has experience in product, growth, or business analytics - an advantage
Degree in a quantitative field (Economics, Statistics, Engineering, Computer Science, etc.) or prior experience in a relevant analytics role.
Proficiency in English.
Most importantly: shows drive, curiosity, and ownership to grow into the role.

Requirements:
3+ years of experience as a Data Analyst or BI Developer, working hands-on with databases and query/visualization tools to explore and validate data.
Experience using Python to automate data tasks, perform validation, and support analysis.
Comfortable working in distributed cloud environments (AWS, GCP, or Azure).
Familiarity with big-data technologies (Hadoop, Spark, Databricks) big advantage.
A team player who is curious, self-driven, and able to take ownership from definition to delivery.