לוח משרות דרושים הייטק תוכנה משרה מלאה

Position Overview
We are looking for an experienced and visionary Staff data Architect to play a critical role in defining and shaping the data architecture for Cellebrites flagship investigative analytics platform. In this position, you will design and guide the implementation of robust, scalable, and secure data pipelines that power advanced data processing for AI-driven insights as part of digital investigations. You will work closely with cross-functional teams to drive technology alignment and ensure architectural excellence across multiple domains. This is a high-impact role, ideal for someone with deep technical expertise and strong strategic thinking, who thrives in a dynamic, collaborative environment and is passionate about building world-class technology platforms. As our data Architect, you will own the vision for how we manage, move, and leverage data within our SaaS product suite. Your role is pivotal in designing and implementing a robust data architecture that supports both Real-Time operational needs and advanced analytics, all within a scalable and cost-effective cloud-native environment.



?Responsibilities
Own the data Vision: Take ownership of the data architecture, including our data lake, data warehouse, and ETL /ELT pipelines, to support our product teams and business intelligence. Cost Optimization & Scalability: Provide architectural leadership and guidance to ensure our data platforms are designed for cost efficiency and scalability, actively identifying and implementing opportunities to optimize cloud spend. Product-Centric Collaboration: Collaborate with engineering, product, data science, and security teams to translate product requirements and business needs into a strategic data architecture that drives product innovation. Design & Governance: Conduct deep architecture reviews, assess technical risks, and provide recommendations to ensure data quality, security, and governance are Embedded into every product. Standardization & Enablement: Define and standardize data modeling practices, governance frameworks, and data pipeline patterns to enable efficient and consistent data development across product teams. Technology Evolution: Evaluate new data technologies, tools, and methodologies (e.g., streaming platforms, modern data warehouses) to continuously improve our data platforms. Documentation & Mentorship: Document architectural decisions, data flow diagrams, and cost models. Act as a mentor and technical authority, fostering a culture of technical excellence and cost-awareness.

Office Location:
Petah Tikva

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. We’re looking for an R&D Team Lead to join our growing R&D department. As the Artlist Core Team Lead, you’ll lead a high-profile team working on one of Artlist’s most strategic products. You’ll guide a group of talented professionals, foster a culture of creativity and technical excellence, and play a pivotal role in driving groundbreaking solutions that shape the future of our platform. Wake up for this
* Join Artlist’s Frontend Development team — the group behind our user-facing products that power a global creative ecosystem used by millions.
* Lead a high-profile team working on one of Artlist’s most strategic and visible products.
* Build high-performance, visually engaging, and intuitive web experiences using modern technologies and scalable design systems.
* Drive the evolution of Artlist’s next-gen Gen-AI suite — including tools for voice cloning, text-to-image, image-to-image, text-to-video, and image-to-video generation.
* Collaborate closely with product, design, marketing, and backend teams to deliver impactful, creator-focused features.
* Provide leadership, mentorship, and technical direction to engineers.
* Influence architectural decisions, maintain code quality, and ensure scalability.
* Foster a culture of speed, quality, and innovation.
* Continuously improve team velocity, delivery predictability, and engineering excellence.

Rail Vision is a multidisciplinary startup headquartered in Ra'anana. We utilize the latest Artificial Intelligence and Electro Optics technologies and develop lifesaving, vision systems for the global railway market. We are looking for a motivated Outbound Business Development Representative (BDR) to join our team Role Overview: As a BDR, you will be responsible for initiating contact with potential customers, identifying high-quality leads in the international market, and building the foundation for our sales pipeline. You will work closely with the marketing and sales managers, conduct market research, engage in outreach, and qualify prospects for further engagement by the sales team. This role is ideal for a results-driven individual who thrives in outreach, relationship-building, and strategic lead generation. Key Responsibilities: · Research and identify potential customers in the global railway sector. · Execute multi-channel outbound outreach (email, LinkedIn, phone, events) · Craft personalized messaging and value propositions tailored to prospects’ needs · Qualify leads and schedule meetings for Account Executives / VP of Business Development · Maintain accurate records in CRM and track outreach performance · Collaborate with marketing to refine campaigns and messaging · Continuously optimize outreach strategies to improve conversion rates

We are looking for an ambitious Production Analyst, who wants to make a strong impact by implementing detailed investment policy configurations (Python) and performing comprehensive quality checks, ensuring that the policy delivers the required portfolio KPIs.The Analysts conduct various analyses projects, highly influencing the business aspects of the company. You should be comfortable working quickly and handling a busy workload, demonstrate meticulous attention to detail and critical thinking while collaborating effectively with both highly technical teams and executive stakeholders.
This individual will join the Portfolio Management & Research department, and will be part of a team that has both data scientists and data analysts, focusing on the company's main credit products and working closely with the production environment.
Responsibilities
Managing and implementing (Python) underwriting policies in the production environment.
Perform quality analytics checks to ensure the policy logic meets the defined requirements (Portfolio KPIs) and works correctly in all scenarios, with a direct impact on the overall performance and outcomes of the portfolio.
Conducting tests to evaluate each component of the policy configuration to validate the results.
Monitoring of the policy behavior in production and analyze if the actual results meet the expectations.
Demonstrate the ability to present and provide meaningful business insights from data.
Perform ad-hoc analysis to support business decisions.
Create innovative & interactive dashboards, scorecards, and weekly/monthly reports on the status of key business measurements tailored to all audiences (from executive management to business line employees) using BI tools, Python and SQL queries.

We are looking for a hands-on Senior DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.

About the Role & Responsibilities
Build high-leverage internal platforms that power our companys decisioning and analytics.
Lead technical projects end-to-end, covering all stages from architecture to execution.
Own your work: partner closely with research, product, engineering and ops to turn complex requirements into simple, reliable systems.
Be a technical leader for our infrastructure and products.

The Data Engineering team is a cross-functional team responsible for data integration, monitoring, and quality. This includes automating data flows, alerting, fetching, and checking across various stages of data transformation and projection.
Key Responsibilities
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Develop data architecture for data ingestion, validation, and processing.
Identify, design, and implement process improvements, such as automating manual tasks, optimizing data delivery, and redesigning infrastructure for enhanced scalability.
Create and maintain optimal data pipeline architecture using microservices.
Work with other members of the data team, including data architects, data analysts, and data scientists.
Key Takeaways
Use the tools and languages that are best suited to the job - Complete flexibility to problem-solving with novelty and creativity encouraged.
Be around very bright and lovely people.
Your intellectual curiosity and hard work contributions will be welcome to our culture of knowledge sharing, transparency, and shared fun and achievement.
Provide education and documentation to empower team members to make the most of technical resources.
Contribute to our software engineering culture of writing correct, maintainable, elegant, and testable code.
Utilize AWS services and tools such as S3, EventBridge, Athena, and DynamoDB to build a robust and scalable data architecture for data ingestion, processing, and storage.
Collaborate on data infrastructure that supports LLM-driven workflows - leveraging tools like Cursor to accelerate code development, enhance reproducibility, and streamline iteration on intelligent systems.